FMCG demand forecasting & RGM analytics — Brookside Dairy Kenya. Prophet forecasting (96.4% accuracy), promotion ROI, SKU margin analysis. East African market context.
# FMCG Demand Forecasting & RGM Analytics - Kenya Dairy Market
**Author:** Purity
**Sector:** FMCG / Consumer Goods - Revenue Growth Management
**Market:** Kenya / East Africa
**Tools:** Python, Prophet, pandas, matplotlib, openpyxl
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## Project Overview
End-to-end FMCG demand forecasting and Revenue Growth Management (RGM) analytics built on a synthetic Kenyan dairy FMCG dataset modelled on the Brookside Dairy Kenya portfolio - East Africa's largest dairy manufacturer (KES ~17B revenue, 40% Danone-owned, operations in Kenya, Tanzania, and Uganda).
Covers four of the five core RGM levers: demand forecasting, promotion ROI analysis, portfolio assortment and margin analysis, and seasonality-driven trade planning. Built to demonstrate the analytical capabilities required in an FMCG RGM Analytics & Demand Manager role.
> **Note:** All data is synthetically generated for portfolio demonstration purposes. Revenue figures, volumes, and margins are modelled - not sourced from Brookside Dairy's actual financial records.
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## Project Results
| Metric | Result |
|--------|--------|
| Dataset | Synthetic Kenya dairy FMCG portfolio |
| Records | 9,420 weekly SKU/channel observations |
| Categories | 4 (Fresh Milk, Fermented, Cheese & Butter, Juices) |
| SKUs | 12 |
| Channels | 5 (Supermarkets, General Trade, Wholesale, Convenience, Institutions) |
| Total Revenue | KES 4.58B (2022–2024) |
| Average Gross Margin | 45.0% |
| Forecast Model | Facebook Prophet (multiplicative seasonality) |
| Forecast Accuracy | **96.4%** (MAPE: 3.6%) |
| Benchmark | >65% at SKU level - **MET** |
| Promotion Volume Uplift | **+32.3%** |
| Promotion Revenue Uplift | **+18.4%** |
| Peak Demand Month | December (Seasonality Index: 125) |
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## RGM Framework - Five Levers
### Lever 1: Demand Forecasting
Weekly revenue forecasts at SKU/channel level using Facebook Prophet with multiplicative seasonality - achieving **96.4% forecast accuracy** against a 3-month holdout period.
Key findi …