{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "f5562532",
   "metadata": {},
   "source": [
    "# Store–SKU Opportunity Mapping\n",
    "\n",
    "**Synthetic Data — Portfolio Demonstration**  \n",
    "Ekstensi portofolio Cement Retail Product Analytics, Q1 2026, Jawa Timur. Semua entitas, transaksi, dan pola permintaan bersifat sintetis. Notebook ini menggunakan CSV existing; tidak memanggil generator dan tidak menimpa notebook atau PDF sebelumnya."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b59ca6de",
   "metadata": {},
   "source": [
    "## 1. Business Context\n",
    "Pembelian SKU yang tidak tercatat adalah **observed purchase absence**. Tanpa data listing dan inventori, kita tidak dapat menyebutnya confirmed distribution gap. Tujuan analisis adalah menyusun hipotesis ekspansi untuk diverifikasi sales."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7bc4a762",
   "metadata": {},
   "source": [
    "## 2. Analytical Objectives\n",
    "1. Ukur penetrasi SKU dengan denominator eligible yang eksplisit.\n",
    "2. Temukan Store–SKU tanpa pembelian tetapi didukung demand peer.\n",
    "3. Prioritaskan berdasarkan SKU, peer, potensi toko, dan product fit.\n",
    "4. Buat skenario gross revenue serta sensitivitas bobot.\n",
    "5. Susun daftar tindakan dan batas interpretasi."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d624a56b",
   "metadata": {},
   "source": [
    "## 3. Data Understanding & Dictionary\n",
    "Sumber: transaksi dan master existing. Grain transaksi adalah satu SKU per nomor order; order multi-SKU memiliki ID yang sama pada beberapa baris.\n",
    "\n",
    "| Field | Makna |\n",
    "|---|---|\n",
    "| ID Toko | Kunci toko eligible |\n",
    "| Kode Produk | Kunci SKU |\n",
    "| No Transaksi | Kunci order |\n",
    "| Harga | IDR per zak |\n",
    "| Qty zak | Unit zak |\n",
    "| Qty ton | Qty zak × Packaging KG / 1.000 |\n",
    "| Revenue | Harga × Qty zak |\n",
    "| Cluster/Regional/Distributor | Variabel pembanding dan jaringan |\n",
    "| Packaging KG | Berat dari product master |"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "edd26075",
   "metadata": {},
   "source": [
    "## 4. Data Validation\n",
    "Pemeriksaan: missing, duplikasi tepat, transaksi–SKU ganda, konsistensi master, store–distributor, tanggal, formula, geografi. Order multi-SKU yang sah tidak dihitung sebagai duplikasi."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "2f00a9d6",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-13T03:25:54.302163Z",
     "iopub.status.busy": "2026-10-13T03:25:54.301693Z",
     "iopub.status.idle": "2026-10-13T03:25:56.722839Z",
     "shell.execute_reply": "2026-10-13T03:25:56.722509Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>lines</th>\n",
       "      <td>99244</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>transactions</th>\n",
       "      <td>68000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stores</th>\n",
       "      <td>400</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>skus</th>\n",
       "      <td>18</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>distributors</th>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "              value\n",
       "lines         99244\n",
       "transactions  68000\n",
       "stores          400\n",
       "skus             18\n",
       "distributors     10"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "    }\n",
       "\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>pass</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>required_columns</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_missing_values</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>no_exact_duplicates</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique_transaction_sku</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>transaction_one_store_date</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>valid_dates</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>positive_price_qty</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>revenue_formula</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tonnage_formula</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique_master_keys</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>references</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>product_master_match</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>store_master_match</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>distributor_master_match</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>geography</th>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                            pass\n",
       "required_columns            True\n",
       "no_missing_values           True\n",
       "no_exact_duplicates         True\n",
       "unique_transaction_sku      True\n",
       "transaction_one_store_date  True\n",
       "valid_dates                 True\n",
       "positive_price_qty          True\n",
       "revenue_formula             True\n",
       "tonnage_formula             True\n",
       "unique_master_keys          True\n",
       "references                  True\n",
       "product_master_match        True\n",
       "store_master_match          True\n",
       "distributor_master_match    True\n",
       "geography                   True"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pathlib import Path\n",
    "import sys, json\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "from IPython.display import display, Image, Markdown\n",
    "ROOT=next(p for p in [Path.cwd(),Path.cwd().parent] if (p/\"src/store_sku_opportunity.py\").exists())\n",
    "sys.path.insert(0,str(ROOT/\"src\"))\n",
    "from store_sku_opportunity import validate_inputs, build_features, group_penetration, build_matrix, build_insights, make_figures, SCENARIOS\n",
    "tx,pm,sm,dm,validation=validate_inputs(ROOT)\n",
    "display(pd.Series(validation[\"dimensions\"]).to_frame(\"value\"))\n",
    "display(pd.Series(validation[\"checks\"]).to_frame(\"pass\"))\n",
    "assert validation[\"status\"]==\"PASS\""
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75c060f6",
   "metadata": {},
   "source": [
    "## 5. Feature Engineering\n",
    "**SKU:** revenue, tonase, zak, toko pembeli, penetrasi, revenue bulanan/growth, share, frekuensi, harga, CV zak harian. Denominator penetrasi adalah seluruh 400 toko aktif dalam jaringan Q1.\n",
    "\n",
    "**Store:** revenue, transaksi, hari aktif, AOV, diversity, preferensi kemasan, bulan aktif/3, share.\n",
    "\n",
    "**Store–SKU:** full cross join 400 × 18; historical purchase, peer, network sales evidence, packaging fit, regional popularity, dan kapasitas toko. Peer group untuk setiap SKU memakai revenue dan frekuensi **selain SKU target** agar target tidak membentuk grupnya sendiri."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5bd89fde",
   "metadata": {
    "execution": {
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     "iopub.status.busy": "2026-10-13T03:25:56.725078Z",
     "iopub.status.idle": "2026-10-13T03:25:57.054027Z",
     "shell.execute_reply": "2026-10-13T03:25:57.053702Z"
    }
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   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>Kode Produk</th>\n",
       "      <th>total_revenue</th>\n",
       "      <th>penetration_rate</th>\n",
       "      <th>growth_jan_mar</th>\n",
       "      <th>sales_volatility_cv</th>\n",
       "      <th>sku_expansion_signal</th>\n",
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       "      <td>0.274094</td>\n",
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       "      <th>9</th>\n",
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       "      <td>0.200788</td>\n",
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       "      <td>SYN-05-02</td>\n",
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       "      <td>0.219581</td>\n",
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       "      <td>False</td>\n",
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       "      <th>14</th>\n",
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       "      <td>0.397910</td>\n",
       "      <td>False</td>\n",
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       "      <td>0.182235</td>\n",
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       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ],
      "text/plain": [
       "   Kode Produk  total_revenue  penetration_rate  growth_jan_mar  \\\n",
       "0    SYN-01-01    29580381800            1.0000        0.301702   \n",
       "1    SYN-01-02    24628500000            1.0000        0.271972   \n",
       "2    SYN-01-03    14007550000            1.0000        0.217071   \n",
       "3    SYN-02-01    23477881600            1.0000        0.214224   \n",
       "4    SYN-02-02    18853185900            1.0000        0.251511   \n",
       "5    SYN-02-03    10976349700            0.9975        0.236502   \n",
       "6    SYN-03-01    17991680000            1.0000        0.244622   \n",
       "7    SYN-03-02    14719556200            1.0000        0.207397   \n",
       "8    SYN-03-03     8280954300            0.9875        0.188690   \n",
       "9    SYN-04-01    13205653800            1.0000        0.250094   \n",
       "10   SYN-04-02    10847070200            1.0000        0.175989   \n",
       "11   SYN-04-03     6108129000            0.9850        0.229438   \n",
       "12   SYN-05-01     8864725100            1.0000        0.200788   \n",
       "13   SYN-05-02     7338970500            0.9875        0.219581   \n",
       "14   SYN-05-03     4165953700            0.9350        0.205247   \n",
       "15   SYN-06-01     5307256600            0.9975        0.151279   \n",
       "16   SYN-06-02     4349919600            0.9625        0.182235   \n",
       "17   SYN-06-03     2240297200            0.8525        0.199364   \n",
       "\n",
       "    sales_volatility_cv  sku_expansion_signal  \n",
       "0              0.231330                 False  \n",
       "1              0.238843                 False  \n",
       "2              0.274094                 False  \n",
       "3              0.237415                 False  \n",
       "4              0.250397                 False  \n",
       "5              0.281327                  True  \n",
       "6              0.236784                 False  \n",
       "7              0.264170                 False  \n",
       "8              0.314208                 False  \n",
       "9              0.252681                 False  \n",
       "10             0.255530                 False  \n",
       "11             0.293710                 False  \n",
       "12             0.293254                 False  \n",
       "13             0.308702                 False  \n",
       "14             0.397910                 False  \n",
       "15             0.313567                 False  \n",
       "16             0.333526                 False  \n",
       "17             0.458252                 False  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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       "      <th></th>\n",
       "      <th>ID Toko</th>\n",
       "      <th>total_transactions</th>\n",
       "      <th>sku_diversity</th>\n",
       "      <th>brand_diversity</th>\n",
       "      <th>preferred_packaging_kg</th>\n",
       "      <th>monthly_purchase_consistency</th>\n",
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       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>T-SYN-0002</td>\n",
       "      <td>387</td>\n",
       "      <td>18</td>\n",
       "      <td>6</td>\n",
       "      <td>50</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>T-SYN-0003</td>\n",
       "      <td>364</td>\n",
       "      <td>18</td>\n",
       "      <td>6</td>\n",
       "      <td>50</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>T-SYN-0004</td>\n",
       "      <td>360</td>\n",
       "      <td>18</td>\n",
       "      <td>6</td>\n",
       "      <td>50</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>T-SYN-0005</td>\n",
       "      <td>341</td>\n",
       "      <td>18</td>\n",
       "      <td>6</td>\n",
       "      <td>50</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ID Toko  total_transactions  sku_diversity  brand_diversity  \\\n",
       "0  T-SYN-0001                 398             18                6   \n",
       "1  T-SYN-0002                 387             18                6   \n",
       "2  T-SYN-0003                 364             18                6   \n",
       "3  T-SYN-0004                 360             18                6   \n",
       "4  T-SYN-0005                 341             18                6   \n",
       "\n",
       "   preferred_packaging_kg  monthly_purchase_consistency  \n",
       "0                      50                           1.0  \n",
       "1                      50                           1.0  \n",
       "2                      50                           1.0  \n",
       "3                      50                           1.0  \n",
       "4                      50                           1.0  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sku,store=build_features(tx,pm,sm,dm,ROOT)\n",
    "pen=group_penetration(tx,pm,sm,dm,ROOT)\n",
    "display(sku[[\"Kode Produk\",\"total_revenue\",\"penetration_rate\",\"growth_jan_mar\",\"sales_volatility_cv\",\"sku_expansion_signal\"]])\n",
    "display(store[[\"ID Toko\",\"total_transactions\",\"sku_diversity\",\"brand_diversity\",\"preferred_packaging_kg\",\"monthly_purchase_consistency\"]].head())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cfc5b045",
   "metadata": {},
   "source": [
    "## 6. SKU Penetration Analysis\n",
    "Penetration = purchasing stores / eligible active stores. Threshold sinyal SKU: revenue contribution ≥ median SKU, Jan–Mar growth ≥ median SKU, penetration < median SKU. Ini hanya screen untuk pilot, bukan keputusan listing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "2d85d07b",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-13T03:25:57.055640Z",
     "iopub.status.busy": "2026-10-13T03:25:57.055489Z",
     "iopub.status.idle": "2026-10-13T03:25:57.063665Z",
     "shell.execute_reply": "2026-10-13T03:25:57.063285Z"
    }
   },
   "outputs": [
    {
     "data": {
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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "regional groups 4 rows 72\n",
      "area groups 6 rows 108\n",
      "district groups 10 rows 180\n",
      "distributor groups 10 rows 180\n",
      "cluster groups 2 rows 36\n"
     ]
    }
   ],
   "source": [
    "display(Image(filename=str(ROOT/\"outputs/figures/opportunity/01_sku_penetration.png\"))) if (ROOT/\"outputs/figures/opportunity/01_sku_penetration.png\").exists() else None\n",
    "for scope in [\"regional\",\"area\",\"district\",\"distributor\",\"cluster\"]:\n",
    "    x=pen[pen.scope==scope];print(scope, \"groups\",x.group.nunique(),\"rows\",len(x))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5ee0ecf",
   "metadata": {},
   "source": [
    "## 7. Store–SKU White Space Analysis\n",
    "Matriks lengkap mencakup semua toko × SKU. Kandidat memerlukan: belum membeli, ≥10 peer, ≥3 adopter peer, adopsi ≥20%, ≥30 transaksi toko selama Q1, packaging fit ≥15%, dan penjualan SKU teramati dalam jaringan regional/distributor. Status listing/stok tetap unknown."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c48230fb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-13T03:25:57.065793Z",
     "iopub.status.busy": "2026-10-13T03:25:57.065618Z",
     "iopub.status.idle": "2026-10-13T03:25:58.060795Z",
     "shell.execute_reply": "2026-10-13T03:25:58.060392Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Matrix 7200 observed absence 118 candidates 118\n"
     ]
    },
    {
     "data": {
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID Toko</th>\n",
       "      <th>Kode Produk</th>\n",
       "      <th>purchased_sku_flag</th>\n",
       "      <th>peer_adoption_rate</th>\n",
       "      <th>opportunity_candidate_flag</th>\n",
       "      <th>feasibility_status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>T-SYN-0001</td>\n",
       "      <td>SYN-01-01</td>\n",
       "      <td>True</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>Network sales observed; store listing/inventor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>T-SYN-0001</td>\n",
       "      <td>SYN-01-02</td>\n",
       "      <td>True</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>Network sales observed; store listing/inventor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>T-SYN-0001</td>\n",
       "      <td>SYN-01-03</td>\n",
       "      <td>True</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>Network sales observed; store listing/inventor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>T-SYN-0001</td>\n",
       "      <td>SYN-02-01</td>\n",
       "      <td>True</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>Network sales observed; store listing/inventor...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>T-SYN-0001</td>\n",
       "      <td>SYN-02-02</td>\n",
       "      <td>True</td>\n",
       "      <td>1.0</td>\n",
       "      <td>False</td>\n",
       "      <td>Network sales observed; store listing/inventor...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      ID Toko Kode Produk  purchased_sku_flag  peer_adoption_rate  \\\n",
       "0  T-SYN-0001   SYN-01-01                True                 1.0   \n",
       "1  T-SYN-0001   SYN-01-02                True                 1.0   \n",
       "2  T-SYN-0001   SYN-01-03                True                 1.0   \n",
       "3  T-SYN-0001   SYN-02-01                True                 1.0   \n",
       "4  T-SYN-0001   SYN-02-02                True                 1.0   \n",
       "\n",
       "   opportunity_candidate_flag  \\\n",
       "0                       False   \n",
       "1                       False   \n",
       "2                       False   \n",
       "3                       False   \n",
       "4                       False   \n",
       "\n",
       "                                  feasibility_status  \n",
       "0  Network sales observed; store listing/inventor...  \n",
       "1  Network sales observed; store listing/inventor...  \n",
       "2  Network sales observed; store listing/inventor...  \n",
       "3  Network sales observed; store listing/inventor...  \n",
       "4  Network sales observed; store listing/inventor...  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "matrix,candidates,recommended,scenario,regional,distributor=build_matrix(tx,sku,store,pm,ROOT)\n",
    "print(\"Matrix\",len(matrix),\"observed absence\",int((~matrix.purchased_sku_flag).sum()),\"candidates\",len(candidates))\n",
    "assert len(matrix)==len(sm)*len(pm)\n",
    "display(matrix[[\"ID Toko\",\"Kode Produk\",\"purchased_sku_flag\",\"peer_adoption_rate\",\"opportunity_candidate_flag\",\"feasibility_status\"]].head())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ac8f94fc",
   "metadata": {},
   "source": [
    "## 8. Peer Store Benchmarking\n",
    "Peer = toko lain pada regional, cluster, dan tier kapasitas yang sama. Tier dihitung per SKU dari revenue dan line frequency **excluding target SKU**. Adoption = peer adopters / peer count (target dikeluarkan). Median revenue dihitung pada peer pembeli SKU; minimal 10 peer dan 3 adopter."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "b3dce1e0",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-13T03:25:58.062271Z",
     "iopub.status.busy": "2026-10-13T03:25:58.062134Z",
     "iopub.status.idle": "2026-10-13T03:25:58.079464Z",
     "shell.execute_reply": "2026-10-13T03:25:58.079144Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ID Toko</th>\n",
       "      <th>Kode Produk</th>\n",
       "      <th>peer_group_id</th>\n",
       "      <th>peer_count</th>\n",
       "      <th>peer_adopters</th>\n",
       "      <th>peer_adoption_rate</th>\n",
       "      <th>peer_average_sku_revenue</th>\n",
       "      <th>peer_median_sku_revenue</th>\n",
       "      <th>peer_data_sufficient</th>\n",
       "      <th>non_target_revenue</th>\n",
       "      <th>capacity_adjustment</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4032</th>\n",
       "      <td>T-SYN-0225</td>\n",
       "      <td>SYN-01-01</td>\n",
       "      <td>Jatim Barat | Pengembangan | Higher</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.285237e+07</td>\n",
       "      <td>52395350.0</td>\n",
       "      <td>True</td>\n",
       "      <td>391110600.0</td>\n",
       "      <td>1.198969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4033</th>\n",
       "      <td>T-SYN-0225</td>\n",
       "      <td>SYN-01-02</td>\n",
       "      <td>Jatim Barat | Pengembangan | Higher</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>1.0</td>\n",
       "      <td>4.254035e+07</td>\n",
       "      <td>42106150.0</td>\n",
       "      <td>True</td>\n",
       "      <td>415449500.0</td>\n",
       "      <td>1.280855</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4034</th>\n",
       "      <td>T-SYN-0225</td>\n",
       "      <td>SYN-01-03</td>\n",
       "      <td>Jatim Barat | Pengembangan | Higher</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.357678e+07</td>\n",
       "      <td>24087350.0</td>\n",
       "      <td>True</td>\n",
       "      <td>425908400.0</td>\n",
       "      <td>1.239644</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4035</th>\n",
       "      <td>T-SYN-0225</td>\n",
       "      <td>SYN-02-01</td>\n",
       "      <td>Jatim Barat | Pengembangan | Higher</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.463998e+07</td>\n",
       "      <td>34880900.0</td>\n",
       "      <td>True</td>\n",
       "      <td>389005800.0</td>\n",
       "      <td>1.143942</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4036</th>\n",
       "      <td>T-SYN-0225</td>\n",
       "      <td>SYN-02-02</td>\n",
       "      <td>Jatim Barat | Pengembangan | Higher</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>1.0</td>\n",
       "      <td>3.285972e+07</td>\n",
       "      <td>33725100.0</td>\n",
       "      <td>True</td>\n",
       "      <td>397417800.0</td>\n",
       "      <td>1.195242</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4037</th>\n",
       "      <td>T-SYN-0225</td>\n",
       "      <td>SYN-02-03</td>\n",
       "      <td>Jatim Barat | Pengembangan | Higher</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.953287e+07</td>\n",
       "      <td>19549100.0</td>\n",
       "      <td>True</td>\n",
       "      <td>418899900.0</td>\n",
       "      <td>1.183061</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4038</th>\n",
       "      <td>T-SYN-0225</td>\n",
       "      <td>SYN-03-01</td>\n",
       "      <td>Jatim Barat | Pengembangan | Higher</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.489741e+07</td>\n",
       "      <td>24447750.0</td>\n",
       "      <td>True</td>\n",
       "      <td>418651000.0</td>\n",
       "      <td>1.210981</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4039</th>\n",
       "      <td>T-SYN-0225</td>\n",
       "      <td>SYN-03-02</td>\n",
       "      <td>Jatim Barat | Pengembangan | Higher</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>1.0</td>\n",
       "      <td>2.471234e+07</td>\n",
       "      <td>20726600.0</td>\n",
       "      <td>True</td>\n",
       "      <td>433660500.0</td>\n",
       "      <td>1.253871</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4040</th>\n",
       "      <td>T-SYN-0225</td>\n",
       "      <td>SYN-03-03</td>\n",
       "      <td>Jatim Barat | Pengembangan | Higher</td>\n",
       "      <td>19</td>\n",
       "      <td>19</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.327742e+07</td>\n",
       "      <td>12916650.0</td>\n",
       "      <td>True</td>\n",
       "      <td>436415300.0</td>\n",
       "      <td>1.238961</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         ID Toko Kode Produk                        peer_group_id  peer_count  \\\n",
       "4032  T-SYN-0225   SYN-01-01  Jatim Barat | Pengembangan | Higher          19   \n",
       "4033  T-SYN-0225   SYN-01-02  Jatim Barat | Pengembangan | Higher          19   \n",
       "4034  T-SYN-0225   SYN-01-03  Jatim Barat | Pengembangan | Higher          19   \n",
       "4035  T-SYN-0225   SYN-02-01  Jatim Barat | Pengembangan | Higher          19   \n",
       "4036  T-SYN-0225   SYN-02-02  Jatim Barat | Pengembangan | Higher          19   \n",
       "4037  T-SYN-0225   SYN-02-03  Jatim Barat | Pengembangan | Higher          19   \n",
       "4038  T-SYN-0225   SYN-03-01  Jatim Barat | Pengembangan | Higher          19   \n",
       "4039  T-SYN-0225   SYN-03-02  Jatim Barat | Pengembangan | Higher          19   \n",
       "4040  T-SYN-0225   SYN-03-03  Jatim Barat | Pengembangan | Higher          19   \n",
       "\n",
       "      peer_adopters  peer_adoption_rate  peer_average_sku_revenue  \\\n",
       "4032             19                 1.0              5.285237e+07   \n",
       "4033             19                 1.0              4.254035e+07   \n",
       "4034             19                 1.0              2.357678e+07   \n",
       "4035             19                 1.0              3.463998e+07   \n",
       "4036             19                 1.0              3.285972e+07   \n",
       "4037             19                 1.0              1.953287e+07   \n",
       "4038             19                 1.0              2.489741e+07   \n",
       "4039             19                 1.0              2.471234e+07   \n",
       "4040             19                 1.0              1.327742e+07   \n",
       "\n",
       "      peer_median_sku_revenue  peer_data_sufficient  non_target_revenue  \\\n",
       "4032               52395350.0                  True         391110600.0   \n",
       "4033               42106150.0                  True         415449500.0   \n",
       "4034               24087350.0                  True         425908400.0   \n",
       "4035               34880900.0                  True         389005800.0   \n",
       "4036               33725100.0                  True         397417800.0   \n",
       "4037               19549100.0                  True         418899900.0   \n",
       "4038               24447750.0                  True         418651000.0   \n",
       "4039               20726600.0                  True         433660500.0   \n",
       "4040               12916650.0                  True         436415300.0   \n",
       "\n",
       "      capacity_adjustment  \n",
       "4032             1.198969  \n",
       "4033             1.280855  \n",
       "4034             1.239644  \n",
       "4035             1.143942  \n",
       "4036             1.195242  \n",
       "4037             1.183061  \n",
       "4038             1.210981  \n",
       "4039             1.253871  \n",
       "4040             1.238961  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "peer=pd.read_csv(ROOT/\"outputs/tables/peer_store_benchmark.csv\")\n",
    "display(peer[peer[\"ID Toko\"].isin(recommended[\"ID Toko\"].head(3))].head(9))\n",
    "assert (candidates.peer_count>=10).all() and (candidates.peer_adopters>=3).all()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "079891dc",
   "metadata": {},
   "source": [
    "## 9. Opportunity Scoring\n",
    "SKU performance = 60% min-max revenue contribution + 40% min-max growth yang di-winsorize p5/p95. Store potential = 50% percentile non-target revenue + 25% percentile non-target line frequency + 25% monthly consistency. Product fit = 50% packaging share + 30% normalized regional SKU popularity + 20% brand share (semua dari pembelian selain target). Peer adoption score = rate × 100.\n",
    "\n",
    "**Provisional score = (25 × SKU + 25 × peer + 20 × store + 20 × fit) / 90.** Sepuluh persen distribution feasibility dikeluarkan karena data listing/stok tidak tersedia. Bobot adalah asumsi bisnis, bukan model teroptimasi."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a78aa305",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-13T03:25:58.080992Z",
     "iopub.status.busy": "2026-10-13T03:25:58.080844Z",
     "iopub.status.idle": "2026-10-13T03:25:58.097400Z",
     "shell.execute_reply": "2026-10-13T03:25:58.097064Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>threshold</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>high_score</th>\n",
       "      <td>50.295158</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>medium_score</th>\n",
       "      <td>46.522478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>high_product_fit</th>\n",
       "      <td>28.496415</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>high_peer_adoption</th>\n",
       "      <td>0.750000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>medium_peer_adoption</th>\n",
       "      <td>0.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>minimum_store_transactions_q1</th>\n",
       "      <td>30.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                               threshold\n",
       "high_score                     50.295158\n",
       "medium_score                   46.522478\n",
       "high_product_fit               28.496415\n",
       "high_peer_adoption              0.750000\n",
       "medium_peer_adoption            0.600000\n",
       "minimum_store_transactions_q1  30.000000"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Priority counts: {'Low Priority': 59, 'Medium Priority': 38, 'High Priority': 21}\n",
      "Top-100 overlap, peer-heavy: 99 store-heavy: 96\n"
     ]
    }
   ],
   "source": [
    "summary=build_insights(sku,matrix,candidates,recommended,scenario,regional,ROOT)\n",
    "display(pd.Series(summary[\"priority_thresholds\"]).to_frame(\"threshold\"))\n",
    "print(\"Priority counts:\",summary[\"priority_counts\"])\n",
    "print(\"Top-100 overlap, peer-heavy:\",summary[\"top_100_overlap_peer_heavy\"],\"store-heavy:\",summary[\"top_100_overlap_store_heavy\"])\n",
    "assert matrix.opportunity_score.between(0,100).all()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "251452d7",
   "metadata": {},
   "source": [
    "## 10. Opportunity Prioritization\n",
    "High dan Medium memakai kuantil skor kandidat plus syarat adoption/product fit. Toko tanpa bukti peer minimum diberi Insufficient Evidence. Setiap rekomendasi memiliki alasan berbasis angka serta catatan feasibility unknown."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "8ad6bcfb",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-13T03:25:58.098942Z",
     "iopub.status.busy": "2026-10-13T03:25:58.098766Z",
     "iopub.status.idle": "2026-10-13T03:25:58.108781Z",
     "shell.execute_reply": "2026-10-13T03:25:58.108473Z"
    }
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    {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Store ID</th>\n",
       "      <th>Store Name</th>\n",
       "      <th>Region</th>\n",
       "      <th>Distributor</th>\n",
       "      <th>Recommended SKU</th>\n",
       "      <th>SKU Name</th>\n",
       "      <th>Packaging</th>\n",
       "      <th>Peer Adoption Rate</th>\n",
       "      <th>Store Potential Score</th>\n",
       "      <th>Product Fit Score</th>\n",
       "      <th>Opportunity Score</th>\n",
       "      <th>Priority</th>\n",
       "      <th>Estimated Revenue Opportunity</th>\n",
       "      <th>Evidence Confidence</th>\n",
       "      <th>Recommendation Reason</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>T-SYN-0283</td>\n",
       "      <td>Toko Bangunan Simulasi 0283</td>\n",
       "      <td>Jatim Timur</td>\n",
       "      <td>Distribusi Simulasi PSR</td>\n",
       "      <td>SYN-04-03</td>\n",
       "      <td>JayaMortar Ordinary Portland 50 KG</td>\n",
       "      <td>50</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>32.243257</td>\n",
       "      <td>65.620664</td>\n",
       "      <td>High Priority</td>\n",
       "      <td>6.424102e+06</td>\n",
       "      <td>Stronger peer evidence</td>\n",
       "      <td>SYN-04-03 dibeli 100% dari 29 toko pembanding ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>T-SYN-0262</td>\n",
       "      <td>Toko Bangunan Simulasi 0262</td>\n",
       "      <td>Jatim Barat</td>\n",
       "      <td>Distribusi Simulasi JBG</td>\n",
       "      <td>SYN-04-03</td>\n",
       "      <td>JayaMortar Ordinary Portland 50 KG</td>\n",
       "      <td>50</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>83.125000</td>\n",
       "      <td>35.084511</td>\n",
       "      <td>62.502054</td>\n",
       "      <td>High Priority</td>\n",
       "      <td>4.303585e+06</td>\n",
       "      <td>Adequate peer evidence</td>\n",
       "      <td>SYN-04-03 dibeli 100% dari 19 toko pembanding ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>T-SYN-0225</td>\n",
       "      <td>Toko Bangunan Simulasi 0225</td>\n",
       "      <td>Jatim Barat</td>\n",
       "      <td>Distribusi Simulasi KDR</td>\n",
       "      <td>SYN-05-03</td>\n",
       "      <td>ArgaBina Ordinary Portland 50 KG</td>\n",
       "      <td>50</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>96.875000</td>\n",
       "      <td>29.898714</td>\n",
       "      <td>60.640467</td>\n",
       "      <td>High Priority</td>\n",
       "      <td>4.544204e+06</td>\n",
       "      <td>Adequate peer evidence</td>\n",
       "      <td>SYN-05-03 dibeli 100% dari 19 toko pembanding ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>T-SYN-0270</td>\n",
       "      <td>Toko Bangunan Simulasi 0270</td>\n",
       "      <td>Jatim Barat</td>\n",
       "      <td>Distribusi Simulasi JBG</td>\n",
       "      <td>SYN-05-02</td>\n",
       "      <td>ArgaBina Portland Composite 50 KG</td>\n",
       "      <td>50</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>73.750000</td>\n",
       "      <td>31.479343</td>\n",
       "      <td>59.316307</td>\n",
       "      <td>High Priority</td>\n",
       "      <td>4.472309e+06</td>\n",
       "      <td>Adequate peer evidence</td>\n",
       "      <td>SYN-05-02 dibeli 100% dari 19 toko pembanding ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>T-SYN-0143</td>\n",
       "      <td>Toko Bangunan Simulasi 0143</td>\n",
       "      <td>Jatim Selatan</td>\n",
       "      <td>Distribusi Simulasi MLG</td>\n",
       "      <td>SYN-05-03</td>\n",
       "      <td>ArgaBina Ordinary Portland 50 KG</td>\n",
       "      <td>50</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>83.750000</td>\n",
       "      <td>34.943477</td>\n",
       "      <td>58.844859</td>\n",
       "      <td>High Priority</td>\n",
       "      <td>4.114581e+06</td>\n",
       "      <td>Adequate peer evidence</td>\n",
       "      <td>SYN-05-03 dibeli 100% dari 19 toko pembanding ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>T-SYN-0387</td>\n",
       "      <td>Toko Bangunan Simulasi 0387</td>\n",
       "      <td>Jatim Timur</td>\n",
       "      <td>Distribusi Simulasi BWI</td>\n",
       "      <td>SYN-04-03</td>\n",
       "      <td>JayaMortar Ordinary Portland 50 KG</td>\n",
       "      <td>50</td>\n",
       "      <td>0.931034</td>\n",
       "      <td>71.250000</td>\n",
       "      <td>30.141525</td>\n",
       "      <td>56.849015</td>\n",
       "      <td>High Priority</td>\n",
       "      <td>2.229930e+06</td>\n",
       "      <td>Stronger peer evidence</td>\n",
       "      <td>SYN-04-03 dibeli 93% dari 29 toko pembanding d...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>T-SYN-0304</td>\n",
       "      <td>Toko Bangunan Simulasi 0304</td>\n",
       "      <td>Jatim Timur</td>\n",
       "      <td>Distribusi Simulasi PSR</td>\n",
       "      <td>SYN-05-03</td>\n",
       "      <td>ArgaBina Ordinary Portland 50 KG</td>\n",
       "      <td>50</td>\n",
       "      <td>0.862069</td>\n",
       "      <td>95.833333</td>\n",
       "      <td>30.441943</td>\n",
       "      <td>56.698285</td>\n",
       "      <td>High Priority</td>\n",
       "      <td>2.171251e+06</td>\n",
       "      <td>Stronger peer evidence</td>\n",
       "      <td>SYN-05-03 dibeli 86% dari 29 toko pembanding d...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>T-SYN-0162</td>\n",
       "      <td>Toko Bangunan Simulasi 0162</td>\n",
       "      <td>Jatim Selatan</td>\n",
       "      <td>Distribusi Simulasi KML</td>\n",
       "      <td>SYN-06-03</td>\n",
       "      <td>SemenLestari Ordinary Portland 50 KG</td>\n",
       "      <td>50</td>\n",
       "      <td>0.947368</td>\n",
       "      <td>93.125000</td>\n",
       "      <td>28.852836</td>\n",
       "      <td>56.311172</td>\n",
       "      <td>High Priority</td>\n",
       "      <td>3.176069e+06</td>\n",
       "      <td>Adequate peer evidence</td>\n",
       "      <td>SYN-06-03 dibeli 95% dari 19 toko pembanding d...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>T-SYN-0311</td>\n",
       "      <td>Toko Bangunan Simulasi 0311</td>\n",
       "      <td>Jatim Timur</td>\n",
       "      <td>Distribusi Simulasi PSR</td>\n",
       "      <td>SYN-04-03</td>\n",
       "      <td>JayaMortar Ordinary Portland 50 KG</td>\n",
       "      <td>50</td>\n",
       "      <td>0.931034</td>\n",
       "      <td>67.083333</td>\n",
       "      <td>29.836270</td>\n",
       "      <td>55.855254</td>\n",
       "      <td>High Priority</td>\n",
       "      <td>2.216904e+06</td>\n",
       "      <td>Stronger peer evidence</td>\n",
       "      <td>SYN-04-03 dibeli 93% dari 29 toko pembanding d...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>T-SYN-0399</td>\n",
       "      <td>Toko Bangunan Simulasi 0399</td>\n",
       "      <td>Jatim Timur</td>\n",
       "      <td>Distribusi Simulasi BWI</td>\n",
       "      <td>SYN-02-03</td>\n",
       "      <td>BatuPrima Ordinary Portland 50 KG</td>\n",
       "      <td>50</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>30.833333</td>\n",
       "      <td>38.894009</td>\n",
       "      <td>55.449511</td>\n",
       "      <td>High Priority</td>\n",
       "      <td>2.925959e+06</td>\n",
       "      <td>Stronger peer evidence</td>\n",
       "      <td>SYN-02-03 dibeli 100% dari 29 toko pembanding ...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Store ID                   Store Name         Region  \\\n",
       "0  T-SYN-0283  Toko Bangunan Simulasi 0283    Jatim Timur   \n",
       "1  T-SYN-0262  Toko Bangunan Simulasi 0262    Jatim Barat   \n",
       "2  T-SYN-0225  Toko Bangunan Simulasi 0225    Jatim Barat   \n",
       "3  T-SYN-0270  Toko Bangunan Simulasi 0270    Jatim Barat   \n",
       "4  T-SYN-0143  Toko Bangunan Simulasi 0143  Jatim Selatan   \n",
       "5  T-SYN-0387  Toko Bangunan Simulasi 0387    Jatim Timur   \n",
       "6  T-SYN-0304  Toko Bangunan Simulasi 0304    Jatim Timur   \n",
       "7  T-SYN-0162  Toko Bangunan Simulasi 0162  Jatim Selatan   \n",
       "8  T-SYN-0311  Toko Bangunan Simulasi 0311    Jatim Timur   \n",
       "9  T-SYN-0399  Toko Bangunan Simulasi 0399    Jatim Timur   \n",
       "\n",
       "               Distributor Recommended SKU  \\\n",
       "0  Distribusi Simulasi PSR       SYN-04-03   \n",
       "1  Distribusi Simulasi JBG       SYN-04-03   \n",
       "2  Distribusi Simulasi KDR       SYN-05-03   \n",
       "3  Distribusi Simulasi JBG       SYN-05-02   \n",
       "4  Distribusi Simulasi MLG       SYN-05-03   \n",
       "5  Distribusi Simulasi BWI       SYN-04-03   \n",
       "6  Distribusi Simulasi PSR       SYN-05-03   \n",
       "7  Distribusi Simulasi KML       SYN-06-03   \n",
       "8  Distribusi Simulasi PSR       SYN-04-03   \n",
       "9  Distribusi Simulasi BWI       SYN-02-03   \n",
       "\n",
       "                               SKU Name  Packaging  Peer Adoption Rate  \\\n",
       "0    JayaMortar Ordinary Portland 50 KG         50            1.000000   \n",
       "1    JayaMortar Ordinary Portland 50 KG         50            1.000000   \n",
       "2      ArgaBina Ordinary Portland 50 KG         50            1.000000   \n",
       "3     ArgaBina Portland Composite 50 KG         50            1.000000   \n",
       "4      ArgaBina Ordinary Portland 50 KG         50            1.000000   \n",
       "5    JayaMortar Ordinary Portland 50 KG         50            0.931034   \n",
       "6      ArgaBina Ordinary Portland 50 KG         50            0.862069   \n",
       "7  SemenLestari Ordinary Portland 50 KG         50            0.947368   \n",
       "8    JayaMortar Ordinary Portland 50 KG         50            0.931034   \n",
       "9     BatuPrima Ordinary Portland 50 KG         50            1.000000   \n",
       "\n",
       "   Store Potential Score  Product Fit Score  Opportunity Score       Priority  \\\n",
       "0             100.000000          32.243257          65.620664  High Priority   \n",
       "1              83.125000          35.084511          62.502054  High Priority   \n",
       "2              96.875000          29.898714          60.640467  High Priority   \n",
       "3              73.750000          31.479343          59.316307  High Priority   \n",
       "4              83.750000          34.943477          58.844859  High Priority   \n",
       "5              71.250000          30.141525          56.849015  High Priority   \n",
       "6              95.833333          30.441943          56.698285  High Priority   \n",
       "7              93.125000          28.852836          56.311172  High Priority   \n",
       "8              67.083333          29.836270          55.855254  High Priority   \n",
       "9              30.833333          38.894009          55.449511  High Priority   \n",
       "\n",
       "   Estimated Revenue Opportunity     Evidence Confidence  \\\n",
       "0                   6.424102e+06  Stronger peer evidence   \n",
       "1                   4.303585e+06  Adequate peer evidence   \n",
       "2                   4.544204e+06  Adequate peer evidence   \n",
       "3                   4.472309e+06  Adequate peer evidence   \n",
       "4                   4.114581e+06  Adequate peer evidence   \n",
       "5                   2.229930e+06  Stronger peer evidence   \n",
       "6                   2.171251e+06  Stronger peer evidence   \n",
       "7                   3.176069e+06  Adequate peer evidence   \n",
       "8                   2.216904e+06  Stronger peer evidence   \n",
       "9                   2.925959e+06  Stronger peer evidence   \n",
       "\n",
       "                               Recommendation Reason  \n",
       "0  SYN-04-03 dibeli 100% dari 29 toko pembanding ...  \n",
       "1  SYN-04-03 dibeli 100% dari 19 toko pembanding ...  \n",
       "2  SYN-05-03 dibeli 100% dari 19 toko pembanding ...  \n",
       "3  SYN-05-02 dibeli 100% dari 19 toko pembanding ...  \n",
       "4  SYN-05-03 dibeli 100% dari 19 toko pembanding ...  \n",
       "5  SYN-04-03 dibeli 93% dari 29 toko pembanding d...  \n",
       "6  SYN-05-03 dibeli 86% dari 29 toko pembanding d...  \n",
       "7  SYN-06-03 dibeli 95% dari 19 toko pembanding d...  \n",
       "8  SYN-04-03 dibeli 93% dari 29 toko pembanding d...  \n",
       "9  SYN-02-03 dibeli 100% dari 29 toko pembanding ...  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "cols=[\"Store ID\",\"Store Name\",\"Region\",\"Distributor\",\"Recommended SKU\",\"SKU Name\",\"Packaging\",\"Peer Adoption Rate\",\"Store Potential Score\",\"Product Fit Score\",\"Opportunity Score\",\"Priority\",\"Estimated Revenue Opportunity\",\"Evidence Confidence\",\"Recommendation Reason\"]\n",
    "display(pd.read_csv(ROOT/\"outputs/tables/top_100_store_sku_opportunities.csv\")[cols].head(10))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4f374d5e",
   "metadata": {},
   "source": [
    "## 11. Revenue Opportunity Estimation\n",
    "Gross scenario per pasangan = median revenue SKU pembeli di peer × capacity adjustment (non-target revenue toko / median non-target revenue peer, clipped 0.5–1.5) × uptake assumption. Faktor uptake konservatif/base/optimistis = 20%/40%/60% dan **bukan** peer adoption atau probabilitas individu. Nilai gross belum dikurangi cannibalization; tidak boleh disebut net incremental revenue."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "d721f55a",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-13T03:25:58.110203Z",
     "iopub.status.busy": "2026-10-13T03:25:58.110094Z",
     "iopub.status.idle": "2026-10-13T03:25:58.116103Z",
     "shell.execute_reply": "2026-10-13T03:25:58.115802Z"
    }
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Top 100 gross revenue scenario (IDR)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>scenario</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Conservative</th>\n",
       "      <td>1.110795e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Base</th>\n",
       "      <td>2.221590e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Optimistic</th>\n",
       "      <td>3.332386e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "              Top 100 gross revenue scenario (IDR)\n",
       "scenario                                          \n",
       "Conservative                          1.110795e+08\n",
       "Base                                  2.221590e+08\n",
       "Optimistic                            3.332386e+08"
      ]
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    {
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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sc=scenario.groupby(\"scenario\").potential_gross_revenue.sum().reindex([\"Conservative\",\"Base\",\"Optimistic\"])\n",
    "display(sc.to_frame(\"Top 100 gross revenue scenario (IDR)\"))\n",
    "display(Image(filename=str(ROOT/\"outputs/figures/opportunity/10_scenarios.png\"))) if (ROOT/\"outputs/figures/opportunity/10_scenarios.png\").exists() else None"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0e6a5602",
   "metadata": {},
   "source": [
    "## 12. Visualization\n",
    "Semua grafik menjawab pertanyaan penetrasi, white space, peer adoption, skor, prioritas, wilayah, distributor, dan rentang skenario. Grafik dibuat dari hasil analitis yang sama dengan report."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "296c6075",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-13T03:25:58.117518Z",
     "iopub.status.busy": "2026-10-13T03:25:58.117375Z",
     "iopub.status.idle": "2026-10-13T03:26:01.218254Z",
     "shell.execute_reply": "2026-10-13T03:26:01.217951Z"
    }
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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//PKLbt68aTzfv3+/xRfu//jHPyT9/x8gpE8u2/pbnzdvnkWCJL2NGzca50gdkxYtWtis269fP+O+tXVfjh8/3upvMygoyCq5bCvO9evXa8eOHRnGmZkHDx7oww8/VEJCgkwmk9Vru2vXLr355ptGcjl9+f379zVu3DiLY/fu3dO///1vq+Ry2rZms1mzZ8/W/PnzM41v2LBhxnuJrcT9zJkzde3atSyuMnf+CjHYw57Pgdy2/eyzz6z+Fm3dk7/99ps+++yzDM+XkpKinj17Gu856e+rxMREjR07Nsu402rfvr1FLMnJyVq/fr3ef/99vfDCC2rbtq0mTJign376yeL9OStms1nDhw/Xpk2bLI4HBgaqfv362Yrxz+TIz+Hs/Btn8uTJxr/dbP19RURE6MiRIxbHHtd9KEmhoaFGcjn9+ePi4jR69OhM26d37tw5q+Sy9P9fg7i4OGMm/+MQHh5unCv963znzh29//77Vu9PU6dOtUoup/8bPHHihN577z2LewEAAPw9kWAGAADAEyttgnn//v1GkiZtstnf3z/TWaG3bt3S6tWrjefPPfectmzZouPHj+vo0aNWs50OHz4s6dG+zocOHbKaBTR37lwdOnRI69aty/Ccnp6eWrp0qY4fP66lS5daLMmaHUlJSerfv79OnjxpHGvbtq2GDBliUW/v3r26d++e8bxfv37av3+/jh8/rgMHDmjQoEFGWXJysiIiInIUj/ToC9QyZcroq6++0tGjR7Vt2za98cYbFnX+85//KDk52ThfSEiIkbR1dXXVmDFjdPDgQR04cEAff/yx8cXp3bt3NWXKlAzPnZiYqGLFimnBggU6duyY1ZLRDx8+VHJysv71r39p79692rdvn1q3bm3RR/rkZXqpM6D37dun/fv3a+zYsXJ3dzfKDx48aLGk5apVq3TgwAHjee3atbV+/XodP35cq1evtpgd9dVXX1kl5nJqxYoVFknjvn376vDhwzp+/Li+//57vfrqq0ZZYmKixT2UXkxMjEqUKKEvv/xSx44d0/fff69atWpZ1Ek7uy+3XF1d1bBhQ+N52n1S7969q+PHj1u12bNnj/E4bcLV3d3dSARt375d58+fN8o6dOigffv26fjx4/rpp5/Uvn17iz7TJzbSe+6557Rz504dPnxY06ZNs7lkvvRo/N544w1t375dx48f15w5cyzumdjYWB07dsx4fvLkSYvradSokSIjI42/1/TLrKa+J2VXSkqKkpOT1b9/fx04cECHDx/Wv/71L4s6cXFx8vPz04oVK3Ts2DGFh4dbJGIOHDhgMfv5iy++sBjjpk2batu2bTp27JgWLVqk0qVLG2VTp061Wto4rZiYGNWtW1fr16/XiRMntGzZMj311FNGeXJystVs9sftrxBDVuz9HMhN26SkJH311VfG89KlS2v16tU6fvy4jh8/rvDwcIvP2czuSbPZrDt37qhLly7avXu3jh8/rgkTJlgkyH777TddvXo1y/hTlS1bViEhIRkup3z8+HF98cUX6tq1q1555RV9/fXXFqtQZOSbb76x+Xm4dOlSqx+A/JU48nNYsv/fODExMapcubKWLVum48ePa8OGDVbLlqf9bHmc92Fqfz179tSePXuM97e0ifDjx49b/HgpK7NmzbJILpcvX16LFy/WsWPHtG3btmxvaWCPgIAA7dy5U0ePHtX8+fPl6+trlMXExGjevHnG84sXL1o8L168uP773//qyJEjioyMVJs2bYyyY8eO5erfggAA4MlAghkAAABPrLp16xqPHz58aCTy0iYJ0yahbSlSpIi2b9+uefPmKSgoSOPHjze+oMuTJ486dOigIkWKGPVv3bqV67jffvttPffcc3JyctJzzz2n8uXL56ifESNG6IcffjCeN23aVCEhIVYza9M/d3NzU548eSRJHh4e6tmzp2bMmKFvvvlG+/bty3Rp4Kw4OzsrPDxcL7zwglxdXeXj46MpU6aoZs2aRp3o6Gjji9+9e/fq0qVLRlnXrl3VoUMHubu7K3/+/Oratav++c9/GuWbNm2ySJanFxISojp16sjJyUklS5a0+MJUkqpUqaJRo0apUKFC8vDwsJqll9Xr++9//1vdunVTwYIF5eHhoX/+858W+w5KMvb+lWTxBa27u7umTZsmPz8/OTk5qVKlSpo2bZoxe8hsNj+2L3Q7d+6sdevW6ZNPPtHgwYPVp08fY1Z90aJFrRKJWX2JPn36dL344otydnZW0aJFrRJQtpZ3/+qrr3T69Gnjv+xInXUsPZoVlnqP7N2710iKpJU2IZs2IV2/fn3jXn/ttdf03XffacaMGRowYICGDx+uggULSpIKFy5stZRwVmMyZMgQFStWTG5ubmratGmGqxZUqlRJU6ZMUYkSJWQymdSwYUOrHzakHb9nn31W27Zt0+zZs/XBBx9o7Nix8vb2lvTo7/Wdd96xaJub96TXX39d7733nvLnzy83NzervqVHsx2fffZZOTs7q3HjxhZ7dicnJ1v8kCHt/VuiRAlNmjRJPj4+cnZ2Vq1atTRhwgSjPD4+PtMf4jz11FOaPXu2sc9z9erV9fbbb1vUyem2Avb6K8SQFXs/B3LT1sXFRRs2bND8+fM1bNgwTZgwwdiT3NXVVY0bN7ZYKj2re/LVV1/V8OHDVaRIETk5Oal169ZWM4KzO65t2rTRV199leWKJdeuXdOYMWPUs2fPLGdoZvQeEBcXp+HDh9uVpM6pnC57Lzn+c9jef+O4ublpzpw5ql69ukwmk8qVK6d+/fpZ1El7H/wR9+GgQYPk6ekpJycnNW7c2OKzR3q0XYE9UlJStGXLFotrmz17tvz9/eXi4iIfHx9NmjQp0+XFs+v555/X+PHjVaxYMbm6uqpu3bqaM2eOxQ8t0v57ZMWKFRafn6NHj9ZLL70kV1dXeXt7a9y4ccZ7nSQtX778scUKAAD+N7EHMwAAAJ5YxYoVU+nSpXXhwgVJj2a6lChRwmL5xrRJ6Iw8/fTTevrpp/Xyyy9Lki5fvqyTJ0/q6NGj+umnnyyW1H0cSwa+9NJLue5Dsv7yr1mzZjaXMK5bt648PT2NRNCkSZM0c+ZM1apVSzVr1pS/v79efvnlDBNk2VGjRg2rL5NNJpNatmxpsUz08ePHVatWLaulo0uVKqWzZ89aHEs7IycxMVHHjh2zufelq6ur1dimnW0oyWJmrPQo2ZpW2tmYtrRt29bq2JtvvqmRI0caS6+mzgZMTk62mAVbsmRJY4/ItJ5++mnjS+z045FTLi4uKl++vPFaJCYm6pdfftGJEyd06NAhRUZGWtRPSkrKsK9ixYqpatWqFsfSzzJLv8RzbqUmhlP7/f7779WpUyeLH4+8+OKLxvPUBPP58+ctZtA2adLEeOzk5KTSpUurdOnS+sc//qGUlBT98ssvOnnypA4fPpytMXF3d7dI1mSmUaNGVsmi9OOX/r7z8fGRj4+PMdP8woULOnHihI4cOWK1X2lmcWYl/d9DaiI7VfHixa32WC5WrJjF89T3xKtXr1okY/z8/CySVpJUoEABubi4GDEfOnTI6scOqV566SWr96Q/+r77K8aQFXs/B3LbtkiRIqpbt67xmfr777/r5MmTOnbsmPbs2WMxCzqrz0lbs/3LlStn8eOQnIzr888/r6VLl+rUqVPasmWLdu3apaNHj9qM5/vvv9f06dP1wQcfZNmvm5ubgoODFRoaamw7sHv3bi1ZskQdO3bMsJ3JZMpxEjo3CWZHfg5L9v8bp1q1alafwVn9fT3O+7BRo0ZWx4oXL27x/MGDB1lfiB69R9+/f994XqdOHYsxkx69Bs2bN9fBgwft6jMr6X9AJz0avypVqhirYly+fFkxMTHy9PS0ep2ffvppq9e5fPnyxrGTJ08qISEhx1u4AACA/30kmAEAAPBEq1OnjkWC2cfHxyjLnz+/qlatatdSm/v379e3336rH3/88Q+fkZb+C8zHZdKkSXrttdeMGZupPDw8FB4ern79+hkzsuLi4vTDDz8Ys9fy5MmjBg0a6O2337Za/jg70i5JnVapUqUsnqfOLErd/zDViBEjsjzH+fPnbX6x7enpabWPYvovRtN/mZ2dL06dnJxsvnb58+dXkSJFdOPGDUkyEvl37tyx+IL7zJkzVsuUppc2OZpbCQkJWr58uTZs2KAjR45k+kV5ZkmQp59+2upY2iWes2qfE/nz59dLL72k7du3S5J++OEHqwRzr169dOzYMd27d0/nzp3T9evXLZbHdnNz0yuvvGLRb0pKitauXau1a9fqwIEDmc7Cy+yaihYtancCyNb4pU9a2toXdvv27VqxYoX27t1r9aMEe+PMSvofYGT19yLZ3sdbsp5xmvb9JSOZ3e/2jFtOrt3WDPg/O4bMZGePYFsy+hx4HG1PnTqlb775Rj/88EOulojO6d+EvSpXrqzKlSurT58+evDggQ4ePKidO3dqxYoVunPnjlFv8eLF6tOnT6afA25ubpoxY4YaNmyoGzdu6NNPPzXKJk6cqAYNGqhEiRI227q6uho/HsnqetLfl5lt7ZEVR34OS/b/Gyenny2P6z609f6W/t639/0i7X0lZfwapE8650Zm50i77UJqgjn965x+JY30EhMTdenSJYtZzQAA4O+FBDMAAACeaHXr1tXSpUslPfrSMe2Sq88//7xVwtGWiRMnWuxLlz9/ftWoUUNVq1ZVjRo1NHLkyMeadPbw8HhsfRUoUEB3796V9GjJy3nz5um9996zqvf8889r8+bNWrt2rb777jsdOHDAmIklPZoltHnzZm3evFlDhw5Vt27dHluMkvWXxKmz5LKT7EmVer3p2ZMszs1MHLPZnGFSMe3x1MRATmaWZrYnbXbcunVLb731ln755RfjWMmSJfXcc8+pWrVqcnFx0dixY+3qy1ayydZep49b48aNjQTzTz/9pKioKP3666+SHiWjatWqpTp16mjr1q2SHs1iTjsD8sUXX7T4W3v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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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3mGcAR4INQhSKe++91zVo0MC99957LjMz85DHLFu2zF144YXuoosuctu3b3fOhfcPRH9V0IY7d+50PXr0cC1btnSrVq0qzCUXOUfT8MILL3Q7duwo5BUeH5hnO+bZjnm2Y5btmGU7ZtmOWfYG82zHPNsxz3bMsh2zbMcs2zHL3mCeAfyTiFCfwYjiLRAISJJuvPFGJSQk6OWXX9bixYsPeWzt2rV1/fXXKzExUW+99ZakA5dWCHfWhuXLl1efPn307rvvqk6dOoW27qKkIA3Xrl2riRMnFuYyizzm2Y55tmOe7ZhlO2bZjlm2Y5a9wTzbMc92zLMds2zHLNsxy3bMsjeYZwBHig1CHFMREQd+i9WqVUs9e/bU7t279dhjj2nZsmUHHRsTE6P27durQoUKSkxMLOylFlleNDznnHPC+jrh/D70Bh3tmGc7fh/a0dCOWbbj96EdDb3BPNvxe9GOhnbMsh2/D+1oaMcse4PfiwCOFBuEOOacc4qJidFll12mnj17av369Ro0aJB++uknZWdnSzrwRrmSdOKJJ6p06dJKS0sLvtoFNPQCDb1BRzsa2tHQjoZ2NLSjoR0NvUFHOxra0dCOhnY0tKOhHQ29QUcAR4INQhxzPp9PzjmVLl1avXr1Ut++fbV161bde++9mjZtmlJSUhQVFSVJ+uKLL7Rz507Vr18/+GoX0NALNPQGHe1oaEdDOxra0dCOhnY09AYd7Wj4zzIyMv724zT8ZzS0o+GxR0M7GnqDjgCOhM8550K9CIQH55x8Pp8yMjI0ffp0jR49WklJSWrevLk6duyoDRs26JtvvtG+ffs0YcIEVa9ePdRLLnJoaEfDoxMIBA75wyEdjxwN7Wh47NDQjoZ2NPx7OTk5wb+8ORwa/jM62tGw4BYuXKgpU6aoV69eOuWUU/72WBoeGg3taFi4aGhHQ2/QEcDfYYMQBbZx40ZVqFBBcXFxR3yfxMRE7dixQy1atND69ev1yiuvaMaMGUpPT1eJEiVUp04dPfnkk6pbt+4xXHnRQUM7Gnpj48aNWrhwoZYtW6ZatWqpVq1aatasmaTDb87QMT8a2tHQbteuXdq+fbt27NihypUrH9HjpmF+NLSjod2iRYv0zDPPaOzYsYqMjDyijRkaHoyOdjS0++WXX3TNNdeocePGGjp0qGrVqvWP96FhfjS0o6FdUlKS5s+frzVr1qh27do67bTTVKdOnb+9Dw3zo6E36AjAUw4ogLS0NHfmmWe6Bx54wO3Zs+eI7rNu3Tp3//33O7/f7xYtWhS8fcOGDW7RokVu/fr1LjU19VgtucihoR0NvbFo0SJ3wQUXuIYNGzq/3+/8fr9r3bq1Gzt27GHvQ8f8aGhHQ7vFixe7q6++2jVt2jTY8LnnnnO7du067H1omB8N7WhoEwgEnHPO3Xvvvc7v97sbb7zR5eTkOOecy87OPuz9aJgfHe1o6I0FCxa4xo0bu6uvvtp9//33R3QfGuZHQzsa2uX9WaVRo0bO7/e7Bg0auP/+978uJSXlsPehYX409AYdAXiNDUIUyP79+13nzp2d3+93Q4YMcWlpaX97/Nq1a91DDz3k/H6/GzVqlHPujz90hisa2tHQbvny5e7MM890Xbp0cePGjXPz5893kyZNco0aNXJNmjRx06ZNO+g+dMyPhnY0tFuxYoVr2bKlu/jii90zzzzjxo0b57p37+78fr975513DnkfGuZHQzsaeufjjz8OvmDi6quv/tuNGRoeHh3taFhwCxcudE2aNHHdu3d3P/zwQ/D2vIZ/bpP3zzTMj4Z2NLRbu3ata926tevWrZubNGmS++mnn9wHH3zgvv76a+fcodvQMD8aeoOOAI4FNghRYH379g2+MvyJJ5447ObM5s2b3aBBg5zf73evvvpq8Pbc3NzCWmqRRUM7GhZcZmamGzBggGvZsqWbNWtWvo998skn7tRTT3UPPvhgvtvpmB8N7Whol5WV5QYOHOjatm0b/MOhc879+OOPrlmzZu6qq6466D4bNmyg4Z/Q0I6G3po7d67z+/2uffv2zu/3u2uuueaQGzN8P/x7dLSjYcGsWLHCNWnSxHXp0iXf2RrOOZeRkeGys7Pd5s2bXWZmZvB2vifmR0M7GtrkbaKMGjXKNW3a1H366af5Pp6VleWcc2779u35bqfhH2joDToCOJb+/s0DgEMIBALKycnR1q1bFR8fr9q1a2vixIny+XwaMGCASpcune/4LVu2aMWKFerfv79uueWW4Oc41HtJhQsa2tHQLisrS4sWLVKDBg103nnnSZJyc3MVGRmpJk2aqHz58po5c6b+/e9/q1q1apLo+Fc0tKOhXSAQ0KJFi1S3bl21bds2ePsZZ5yhk046SRUrVtSKFSu0Y8cOxcfHq3Hjxtq7d6+WLFlCw9/R0I6G3mrUqJHq1q2rc845R0lJSfriiy/Uo0cPvfnmm4qKilJWVpaio6OVnJyspUuX0vAw6GhHw4KZN2+eMjMzVa1aNSUkJARv37Bhg4YPH641a9Zo06ZNatCggVq3bq1+/frxPfEvaGhHQxufzydJWr58uUqWLKlzzjkn+LH169frmWee0bp167R9+3a1aNFCrVu3Vvfu3Wn4JzT0Bh0BHEtsEOKoRUREKDMzU7t371aHDh10ww036Mknn9SECRMk6aDNmcaNG2v48OGqV6+eJJ6MJBp6gYZ2OTk5ysrKUiAQCN4WGRkpSapWrZoaNWqkhQsX5vs4HfOjoR0N7Xw+n3w+n7Kzs/PdvnXrVmVkZGjOnDmaNWuWJCkuLk7/+te/dM8992jUqFHBvyyiIQ2taOitUqVKKTIyUnv37tVTTz2le+65R19++aV69OihcePGqUSJEkpLS1PTpk310ksvqUaNGpJo+Fd0tKNhwfTs2VNLly7VtGnTNHPmTF111VVau3atevTood27d6thw4Zq3LixFi9erIULF2rjxo168skn+Z74JzS0o6E3SpYsqdzcXGVlZUmSEhMT1bNnT+3evVv16tVTpUqV9Nlnn+mzzz7Thg0bdPfdd+vll1/m++Gf0NAbdARwLPBdAQWyYsUKbdmyRRUqVFC9evV0xx13qFWrVpowYYKeffZZ7d27V5LknFN0dHTwL3GdczwZ/Y6GdjS0iYuL0wknnKC5c+dq9uzZwdtzcnKC/5yamqrt27dLOvDD5J878sMlDb1AQxvnnCQpISFBP/30k3799dfgx5577jlt2rRJLVu21H333ae77rpLJUuW1OjRozV06FD+4ud3NLSjobdyc3MlSa1bt9b8+fMVGxurxx9/XOeff74WLFigPn36KCkpSZ06ddLYsWODf+nDzzf50dGOhgWT9zPMfffdpwYNGmj06NH67bffNG7cOFWqVElDhgzRO++8ozfffFOTJ0/W6aefrg8//FDDhg3je+LvaGhHQ7u8Fyg2atRIqampmjJligKBgCZNmqQyZcpo2LBhmjJliiZPnqwJEyaoUqVKeu211zR+/Hg2ZH5HQ2/QEcCxxHcGHJW8J6XGjRvr4osvVqtWrSRJTZs21YABAw7anMk7DT7PX/89HNHQjobeiImJ0R133KHmzZsrEAgE/4I374fGqKgoRUZGKjo6WtLB3SIiIvKd1RWOaGhHQxufz6eYmBgNGjRIjz32mBo3bhz8WExMjG688UY9+eSTuvHGG9W3b1+NHz9eJ5xwgt5++20tXLhQksL+D4o0tKOhN/K+l+WdRd2kSROtX79eq1evVqVKlfT444/roosu0rx583TxxRerdOnSql+/fvCsTX6+OYCOdjS0iYqKUm5uruLj49WnTx/t3LlT9913n+bPn6+LLrpIXbp0kXTgMut169bV4MGDVaVKFX344YdauXKlJL4n0tCOhnZ5j79Dhw6qVKmSPvnkEy1YsEA//vijmjVrps6dO0s68D3vzDPP1Msvv6zY2Fi9//772rx5c77PEa5o6A06AjiWuMQoDmvr1q1at26dUlJSVLZsWZ1zzjnBJ5SSJUtq8ODBwb+wlQ78wXHAgAHy+XyaMGGCnHO66667DnovuHBCQzsaeuNQHZ1zOvfcc3XKKaeoatWqwb/Myevr8/kUGxurUqVKBf9dkn744Qdt2LBBV199dVj9kElDOxraHaphbm6uGjRooAYNGkiSsrOzFR0drccff1y7d+9WuXLlgpuveWdbP/TQQ0pOTg7xowkNGtrR0O7vfr4JBALy+XxKSEhQbGyskpKSVKdOHVWuXFl9+/bVrFmzlJmZqaioKJ155pmKjo5WVlaWYmJiQvyoCh8d7Whod7iGPp9PrVq1UteuXTVx4kSVKlVK3bt3l8/nk3NOMTExCgQCqlu3rvr06aP//ve/2rx5c/AqCeGEhnY0tDtUw5ycHJ1wwgm655579OCDD+rll19WRkaGzjzzTEkKfs8LBAJq3Lix+vTpo5EjRyoxMVFVq1YN8SMqfDT0Bh0BFCY2CHFIixcv1t13362kpKTgbY0aNdLVV1+t9u3bq0KFCipZsmTwD4/OOfl8PjVp0kT9+/eXJE2cOFGSwnZzhoZ2NPTGP3X86yUn8v4/JSVFubm5+d5Pas6cORo+fLh27NihDh06qGLFioX+eEKBhnY0tDuS74l5l2DN+35Yrlw5SQc2XPMuFVepUiVJ0rZt2wr9MYQaDe1oaHckDSWpXr16qly5sr788kudd9552rBhg/r06aPKlSurQoUKWrx4sW6++WaNHj067DZkJDp6gYZ2f9fwvPPOU6VKldSrVy/Nnz9f27dv1/79+yX98YKnvCsnVKlSRRLfE/PQ8OjQ0O5wDa+66ip16NBBl156qZYtW6a33npLOTk5mjt3rrp27aqYmJhgP0mqWbOmJGnTpk2F/RBCjobeoCOAwsYGIQ6ydu1a9e/fX5UqVVKPHj3UuHFjzZ49WzNmzNBjjz2m+fPna+DAgTrppJOCf4Gb9+qzQ23OpKen68EHHwyrzRka2tHQG0fTMY/P51Nubq727t2ryMhIxcfHS5K+/fZbPfPMM9qwYYPeeuutsNmUoaEdDe2O9nvioS7vlnepuEWLFik2Nlb169cv7IcRUjS0o6Hd0TTMycnRiSeeqIyMDO3evVv/+te/FBcXp8cee0z169fXE088oc8++0y33XabRo8eHeqHVqjoaEdDu39qOG/ePPXv318JCQl68cUXtX//flWtWjX45xXpj++JS5cuVWxsrGrVqhXKh1ToaGhHQ7t/avjjjz/q3nvvVd++fZWenq5p06Zp9uzZ+uCDD9StWzf5fL5gy7Vr16pkyZKqXr16iB9V4aKhN+gIICQc8Bfjxo1zTZs2dTNmzAjelpmZ6RITE92NN97o/H6/69Wrl0tKSnLOOZebmxs8LhAIBP950aJFrnv37u70009327ZtK7wHUATQ0I6G3rB07Natm2vXrp3bsmWLmzt3ruvatatr2rSpW7FiRaE/jlCioR0N7Y62oXMHOi5fvtzNmTMneNvMmTNdx44dXbdu3VxKSkqhPoZQo6EdDe2OtOGGDRucc86NGjXKNWjQwLVo0cK1b9/ezZw502VnZzvnnNu+fbu755573PLly0PyWEKJjnY0tDvShuvXrw9+PDc3123YsCHf98TPP//cdejQwV1xxRV8T3Q0PFo0tDuShr1793bbt293ycnJ7pFHHnGNGjVy7du3dy+++KLbtWuX27Nnj5s6daq78MIL3SWXXOJ27NgRwkdU+GjoDToCCAU2CHGQ++67z7Vo0cKlpaU551zwD37OOZeVleX+/e9/O7/f72655Ra3ZcsW51z+DZk///OSJUvcpk2bCmnlRQcN7WjoDUvH6667zp111lluwoQJ7vLLL3dnnHFG2P3Fj3M09AIN7QrSMCUlxd16663O7/e7a6+91l199dWuefPm7qyzznIrV64MyeMIJRra0dDuSBvefPPNbtu2be777793fr/fde/e3X3++efBYzMzM51z+V9QEU7oaEdDu4J8T0xNTXV33XUX3xN/R0M7GtodacM+ffq4lJQUt2fPHjd27FjXtGlT5/f7XZs2bdw555zjTjvtNNemTRsaOhoWFB0BhEJEqM9gRNFTs2ZN7d27V6tWrZIkRUUduBJt3vvJvPTSSzrvvPP0zTffaOTIkdq1a1e+S0jlXeZRkho2bBiWb4ZLQzsaeqOgHZ1zKl26tHbv3q3hw4crMTFREydODLtLwUk09AIN7QrSsEKFCurcubP8fr+SkpK0a9cutWvXTpMmTVLdunVD+XBCgoZ2NLQ70obffvutRowYobPPPltPP/20rrvuOnXo0EHSgfeKynuft7z3YQ43dLSjoV1BvieWLl1arVu3Vq1atbRu3TqlpKSoTZs2fE+kYYHR0O5IG3799dd66qmnJEk33XST3nvvPV1//fXy+/3y+/266aabNHHiRBqKhgVFRwAhEbKtSRRZn332mfP7/a5///4HXZIxJyfHOXfglSs33HCDa9SokZs8ebJzLjxfNXo4NLSjoTcK0jHvzK3PP//c+f1+17Rp07B+5RkN7WhoV9Dvic4dOLtj9+7dLj093WVlZRXquosSGtrR0O5oGjZo0MBNmTIl38f+fIWEcEZHOxraWb4nZmRkuB07dri0tLTgWZjhiIZ2NLQ7moYNGzZ07733XvB2HEBDb9ARQCiE38v88I86deoUfEXKzJkzlZ6eHvxYZGRk8JUrDz/8sKpWraq3335bUni+avRwaGhHQ28UpGPemZg1atTQpZdeqvfeey+sX3lGQzsa2h1tw0mTJgU/HhMTo/j4eMXGxio6OjoUyy8SaGhHQ7ujaZiQkKCJEycGPyYp39USwhkd7WhoZ/meWLJkSVWsWFGlS5cOnoUZjmhoR0O7o2lYrVo1vfPOO8HvhYFAIHis+/0KRuGIht6gI4BQ4G/SkU/eE8qtt96qqlWr6uWXX9a3336rrKys4DF5GzAJCQnq0KGDfv31V82dOzck6y2KaGhHQ28UtOMPP/wgSapXr56eeOIJ1a5du/AXX0TQ0I6GdgVpuGTJEr4n/gkN7WhoR0Nv0NGOhnY0tKOhHQ3trH/38OcXKIfrCydo6A06AggVNgiRT94TSoMGDXTLLbfI5/Np6NCh+uqrr/K9ciUnJ0cxMTFq166dJCktLS0k6y2KaGhHQ28UtOPevXuDHytZsmThLrqIoaEdDe34nmhHQzsa2tHQG3S0o6EdDe1oaEdDOxra0dAbdAQQKmwQ4pBiYmLUqVMn3XbbbQoEAvrvf/+rjz76SDt27JD0xxvlLlq0SBERESpfvnwol1sk0dCOht6gox0N7WhoR0M7GtrR0I6G3qCjHQ3taGhHQzsa2tHQjobeoCOAwuZzXJg4rGzcuFE5OTmqWbPm3x6Xm5uryMhIZWRkaNasWXrhhRe0ZcsWtW/fXtddd51q1qypOXPmaOzYscrNzdX48eNVsWLFwnkQIUZDOxp6g452NLSjoR0N7WhoR0M7GnqDjnY0tKOhHQ3taGhHQzsaeoOOAIoqNgjDSFJSki655BKde+656t+/v0455ZR/vE96erri4uK0atUqPfvss/ryyy8VERGhEiVKKDs7WxUqVNCYMWNUt27dQngEoUdDOxp6g452NLSjoR0N7WhoR0M7GnqDjnY0tKOhHQ3taGhHQzsaeoOOAIqyqFAvAIVn//79atWqlb788kvFxcXp5ptvVq1atQ57/Lp16/T000+revXqGjRokF588UV98sknSkxM1MaNG1W/fn116NBBJ598ciE+itCioR0NvUFHOxra0dCOhnY0tKOhHQ29QUc7GtrR0I6GdjS0o6EdDb1BRwBFGRuEYaRu3boaMGCA4uLiNGXKFEnK96QUCASCb4q7fv16jRkzRjNnztStt94a/BydO3cu/IUXITS0o6E36GhHQzsa2tHQjoZ2NLSjoTfoaEdDOxra0dCOhnY0tKOhN+gIoEhzCAuBQCD4zytWrHB333238/v97v7773dr1qzJd2xiYqK7//77nd/vd6+99lrw9tzc3EJbb1FEQzsaeoOOdjS0o6EdDe1oaEdDOxp6g452NLSjoR0N7WhoR0M7GnqDjgCKOjYIw8iRPCllZma60aNHO7/f70aNGhU8niejA2hoR0Nv0NGOhnY0tKOhHQ3taGhHQ2/Q0Y6GdjS0o6EdDe1oaEdDb9ARQFHmc865UJ/FCO9lZWUpKioqeIp6nuzsbEVHR0uSfvvtN7322muaPn26Lr/8ct1yyy065ZRT9MMPPyglJUVdunSRlP9U93BCQzsaeoOOdjS0o6EdDe1oaEdDOxp6g452NLSjoR0N7WhoR0M7GnqDjgCON7wHYTH0yy+/6LXXXlP58uXVrl07VapUSX6/X3FxccEnI0ny+/3q3bu3nHOaMmWKAoGAbr/9dp199tnBY8L1yYiGdjT0Bh3taGhHQzsa2tHQjoZ2NPQGHe1oaEdDOxra0dCOhnY09AYdARyPOIOwGHHOad++fercubO2bdsmSYqJiVEgEFDVqlXl9/vVqFEjNWvWTFWqVFH16tUlSRs3btTzzz+vqVOnqmvXrurdu7fq1KkT/Jw+ny9kj6mw0dCOht6gox0N7WhoR0M7GtrR0I6G3qCjHQ3taGhHQzsa2tHQjobeoCOA4xkbhMVIenq64uLi9Pnnn2vw4MHavn178FUr8+fP19atW5WbmyvpwBNV8+bNlZCQoPPPP1/JycmaOXOmvv32W1177bW6/vrrVbt27RA/osJHQzsaeoOOdjS0o6EdDe1oaEdDOxp6g452NLSjoR0N7WhoR0M7GnqDjgCOZ2wQFhM//fSThg8frpdeekkVKlTQ7Nmzdf/992vXrl26++671atXLyUmJmrOnDnaunWrvvnmG6WkpCg1NVWSFB0drZIlSyotLU1RUVHq0qWL+vbtq1NOOSXEj6zw0NCOht6gox0N7WhoR0M7GtrR0I6G3qCjHQ3taGhHQzsa2tHQjobeoCOA4x0bhMc555ycc+revbuWLl2qWbNmqWrVqpKk2bNn695771Vqaqruu+8+3XjjjcH7paWlKTs7W3PnztXatWv1888/a+XKlcrJydHu3btVpkwZffLJJ6pcuXKIHlnhoaEdDb1BRzsa2tHQjoZ2NLSjoR0NvUFHOxra0dCOhnY0tKOhHQ29QUcAxYZDsfDEE084v9/vZs2ale/22bNnuxYtWji/3+9effXV4O2ZmZn5jgsEAi4lJcUtWrTIvfHGG2716tWFsu6ihIZ2NPQGHe1oaEdDOxra0dCOhnY09AYd7WhoR0M7GtrR0I6GdjT0Bh0BHO/YICwmPvjgA+f3+91bb73lnHMuJycn+LE/Pym99tprwdtzcnJcIBA46PhwRUM7GnqDjnY0tKOhHQ3taGhHQzsaeoOOdjS0o6EdDe1oaEdDOxp6g44AjncRoT6DETbu9yvE1qtXT5L0ww8/KCcnRxEREcGPtWvXTsOGDVN8fLyGDx+u0aNHS5IiIyODx0RGRoZg9UUDDe1o6A062tHQjoZ2NLSjoR0N7WjoDTra0dCOhnY0tKOhHQ3taOgNOgIoLtggPM75fD5JUoMGDVS7dm1t2bJFUVFR8vl88vl8+Z6UnnrqqeCT0muvvSZJioiIUG5ubsjWXxTQ0I6G3qCjHQ3taGhHQzsa2tHQjobeoKMdDe1oaEdDOxra0dCOht6gI4Digg3C41ggEJAkZWVlKTc3V7Vr19avv/6qxMTE4Mf+/KTUtm3b4JPS008/rbFjx0oK71er0NCOht6gox0N7WhoR0M7GtrR0I6G3qCjHQ3taGhHQzsa2tHQjobeoCOA4oQNwuPIL7/8osGDB+vjjz/WmjVrlJ6eLkmKiYlRVFSU2rVrJ0nasmWLIiL++E97qCelSpUqadiwYXrjjTcK/4GEEA3taOgNOtrR0I6GdjS0o6EdDe1o6A062tHQjoZ2NLSjoR0N7WjoDToCKM6iQr0AHJnk5GTdcsstSktL08SJExUdHa2qVavqrLPOUs2aNdW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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "make_figures(sku,store,pen,matrix,candidates,recommended,scenario,regional,distributor,ROOT)\n",
    "for image_name in [\"02_revenue_penetration\",\"03_store_sku_matrix\",\"04_regional_penetration\",\"05_peer_adoption\",\"06_score_distribution\",\"07_top20\",\"08_region\",\"09_distributor\",\"11_priority_matrix\",\"12_store_coverage\"]:\n",
    "    display(Image(filename=str(ROOT/f\"outputs/figures/opportunity/{image_name}.png\")))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "1c198a85",
   "metadata": {},
   "source": [
    "## 13. Key Findings\n",
    "Setiap insight mencakup bukti, interpretasi, tindakan, dan batas penggunaan. Nilai dihitung langsung dari dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "f2c465ed",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2026-10-13T03:26:01.219718Z",
     "iopub.status.busy": "2026-10-13T03:26:01.219603Z",
     "iopub.status.idle": "2026-10-13T03:26:01.229760Z",
     "shell.execute_reply": "2026-10-13T03:26:01.229447Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Finding</th>\n",
       "      <th>Quantitative Evidence</th>\n",
       "      <th>Business Interpretation</th>\n",
       "      <th>Recommended Action</th>\n",
       "      <th>Business Limitation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SKU teratas</td>\n",
       "      <td>SYN-01-01 menghasilkan Rp 29,580,381,800 dan p...</td>\n",
       "      <td>Performa SKU dan jangkauan toko tidak identik.</td>\n",
       "      <td>Pantau SKU kuat dengan penetrasi relatif renda...</td>\n",
       "      <td>Pola berasal dari data simulasi; ketersediaan ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sinyal ekspansi SKU</td>\n",
       "      <td>1 SKU memenuhi kontribusi &gt;= median, growth &gt;=...</td>\n",
       "      <td>Kombinasi performa dan jangkauan menunjukkan a...</td>\n",
       "      <td>Validasi margin dan listing sebelum perluasan.</td>\n",
       "      <td>Ambang median bersifat heuristik.</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>White space terpilih</td>\n",
       "      <td>118 dari 7,200 kombinasi memenuhi syarat kandi...</td>\n",
       "      <td>Pembelian yang tidak tercatat saja belum cukup...</td>\n",
       "      <td>Prioritaskan pasangan dengan bukti peer memadai.</td>\n",
       "      <td>Absennya transaksi bukan bukti stok atau listi...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Adopsi peer</td>\n",
       "      <td>Median peer adoption top 100 adalah 89.5%.</td>\n",
       "      <td>Toko pembanding menunjukkan permintaan SKU di ...</td>\n",
       "      <td>Gunakan top 100 sebagai daftar kerja sales.</td>\n",
       "      <td>Peer adoption bukan probabilitas adopsi toko i...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Konsentrasi wilayah</td>\n",
       "      <td>Jatim Timur memiliki 70 kandidat.</td>\n",
       "      <td>Beban uji distribusi berbeda antarregional.</td>\n",
       "      <td>Mulai pilot bertahap sesuai kapasitas tim regi...</td>\n",
       "      <td>Jumlah kandidat dipengaruhi ukuran jaringan re...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Skenario gross revenue</td>\n",
       "      <td>Top 100 menghasilkan gross scenario base Rp 22...</td>\n",
       "      <td>Nilai merupakan ekspektasi perencanaan berbobo...</td>\n",
       "      <td>Ukur gross uplift dan cannibalization saat pilot.</td>\n",
       "      <td>Bukan revenue incremental neto atau jaminan.</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                  Finding                              Quantitative Evidence  \\\n",
       "0             SKU teratas  SYN-01-01 menghasilkan Rp 29,580,381,800 dan p...   \n",
       "1     Sinyal ekspansi SKU  1 SKU memenuhi kontribusi >= median, growth >=...   \n",
       "2    White space terpilih  118 dari 7,200 kombinasi memenuhi syarat kandi...   \n",
       "3             Adopsi peer         Median peer adoption top 100 adalah 89.5%.   \n",
       "4     Konsentrasi wilayah                  Jatim Timur memiliki 70 kandidat.   \n",
       "5  Skenario gross revenue  Top 100 menghasilkan gross scenario base Rp 22...   \n",
       "\n",
       "                             Business Interpretation  \\\n",
       "0     Performa SKU dan jangkauan toko tidak identik.   \n",
       "1  Kombinasi performa dan jangkauan menunjukkan a...   \n",
       "2  Pembelian yang tidak tercatat saja belum cukup...   \n",
       "3  Toko pembanding menunjukkan permintaan SKU di ...   \n",
       "4        Beban uji distribusi berbeda antarregional.   \n",
       "5  Nilai merupakan ekspektasi perencanaan berbobo...   \n",
       "\n",
       "                                  Recommended Action  \\\n",
       "0  Pantau SKU kuat dengan penetrasi relatif renda...   \n",
       "1     Validasi margin dan listing sebelum perluasan.   \n",
       "2   Prioritaskan pasangan dengan bukti peer memadai.   \n",
       "3        Gunakan top 100 sebagai daftar kerja sales.   \n",
       "4  Mulai pilot bertahap sesuai kapasitas tim regi...   \n",
       "5  Ukur gross uplift dan cannibalization saat pilot.   \n",
       "\n",
       "                                 Business Limitation  \n",
       "0  Pola berasal dari data simulasi; ketersediaan ...  \n",
       "1                  Ambang median bersifat heuristik.  \n",
       "2  Absennya transaksi bukan bukti stok atau listi...  \n",
       "3  Peer adoption bukan probabilitas adopsi toko i...  \n",
       "4  Jumlah kandidat dipengaruhi ukuran jaringan re...  \n",
       "5       Bukan revenue incremental neto atau jaminan.  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Kode Produk</th>\n",
       "      <th>candidate_stores</th>\n",
       "      <th>base_gross_potential</th>\n",
       "      <th>median_peer_adoption</th>\n",
       "      <th>Nama Produk</th>\n",
       "      <th>penetration_rate</th>\n",
       "      <th>revenue_contribution</th>\n",
       "      <th>growth_jan_mar</th>\n",
       "      <th>recommended_action</th>\n",
       "      <th>limitation</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SYN-06-03</td>\n",
       "      <td>59</td>\n",
       "      <td>9.277113e+07</td>\n",
       "      <td>0.793103</td>\n",
       "      <td>SemenLestari Ordinary Portland 50 KG</td>\n",
       "      <td>0.8525</td>\n",
       "      <td>0.009959</td>\n",
       "      <td>0.199364</td>\n",
       "      <td>Verifikasi listing dan stok pada kandidat toko...</td>\n",
       "      <td>Gross scenario; availability unknown; cannibal...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SYN-05-03</td>\n",
       "      <td>26</td>\n",
       "      <td>5.959706e+07</td>\n",
       "      <td>0.895644</td>\n",
       "      <td>ArgaBina Ordinary Portland 50 KG</td>\n",
       "      <td>0.9350</td>\n",
       "      <td>0.018520</td>\n",
       "      <td>0.205247</td>\n",
       "      <td>Verifikasi listing dan stok pada kandidat toko...</td>\n",
       "      <td>Gross scenario; availability unknown; cannibal...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SYN-06-02</td>\n",
       "      <td>15</td>\n",
       "      <td>3.435184e+07</td>\n",
       "      <td>0.862069</td>\n",
       "      <td>SemenLestari Portland Composite 50 KG</td>\n",
       "      <td>0.9625</td>\n",
       "      <td>0.019338</td>\n",
       "      <td>0.182235</td>\n",
       "      <td>Verifikasi listing dan stok pada kandidat toko...</td>\n",
       "      <td>Gross scenario; availability unknown; cannibal...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Kode Produk  candidate_stores  base_gross_potential  median_peer_adoption  \\\n",
       "0   SYN-06-03                59          9.277113e+07              0.793103   \n",
       "1   SYN-05-03                26          5.959706e+07              0.895644   \n",
       "2   SYN-06-02                15          3.435184e+07              0.862069   \n",
       "\n",
       "                             Nama Produk  penetration_rate  \\\n",
       "0   SemenLestari Ordinary Portland 50 KG            0.8525   \n",
       "1       ArgaBina Ordinary Portland 50 KG            0.9350   \n",
       "2  SemenLestari Portland Composite 50 KG            0.9625   \n",
       "\n",
       "   revenue_contribution  growth_jan_mar  \\\n",
       "0              0.009959        0.199364   \n",
       "1              0.018520        0.205247   \n",
       "2              0.019338        0.182235   \n",
       "\n",
       "                                  recommended_action  \\\n",
       "0  Verifikasi listing dan stok pada kandidat toko...   \n",
       "1  Verifikasi listing dan stok pada kandidat toko...   \n",
       "2  Verifikasi listing dan stok pada kandidat toko...   \n",
       "\n",
       "                                          limitation  \n",
       "0  Gross scenario; availability unknown; cannibal...  \n",
       "1  Gross scenario; availability unknown; cannibal...  \n",
       "2  Gross scenario; availability unknown; cannibal...  "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "insights=pd.read_csv(ROOT/\"outputs/tables/store_sku_business_insights.csv\")\n",
    "display(insights)\n",
    "# Three evidence-ranked SKU expansion pilots\n",
    "display(pd.read_csv(ROOT/\"outputs/tables/product_expansion_opportunities.csv\"))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2ae79fe0",
   "metadata": {},
   "source": [
    "## 14. Business Recommendations\n",
    "1. Verifikasi listing, stok, jalur distributor, harga, dan margin untuk pasangan prioritas.\n",
    "2. Jalankan pilot bertahap pada top 100 dan gunakan kelompok pembanding.\n",
    "3. Pantau adopsi aktual, repeat order, total basket, dan cannibalization.\n",
    "4. Perbarui model peer setelah data ukuran toko, stok, dan kebutuhan pelanggan tersedia.\n",
    "5. Re-kalibrasi bobot dan uptake scenario dari hasil pilot.\n",
    "\n",
    "Peluang: penetrasi SKU, cross-sell kemasan, dan produktivitas distributor. Risiko: availability unknown, substitution, dan bias simulasi."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "20ff1b30",
   "metadata": {},
   "source": [
    "## 15. Limitations\n",
    "Seluruh data sintetis. Ketiadaan transaksi tidak membuktikan gap distribusi. Network sales adalah bukti observasional; stok toko belum diketahui. Peer groups observasional dapat berbeda pada faktor yang tidak tercatat. Skor dan skenario adalah alat prioritisasi, bukan prediksi tervalidasi. Gross revenue tidak sama dengan margin maupun incremental net revenue."
   ]
  },
  {
   "cell_type": "markdown",
   "id": "4ea5f293",
   "metadata": {},
   "source": [
    "## 16. Conclusion\n",
    "Analisis menyusun daftar hipotesis ekspansi Store–SKU yang dapat diverifikasi dan diuji. Gunakan prioritas sebagai input kerja sales, lalu validasi dengan listing/stok dan pilot terkontrol sebelum keputusan distribusi skala besar."
   ]
  }
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