Distribution · Seasonal SKUs · ML Forecasting · Depot-Level Analytics
Predicting accurate sales volumes across multiple depots was unreliable — leading to overstock and stockout exposure.
Seasonality, regional events, and festival cycles created a complex, multi-variable demand environment.
Diverse datasets could not be integrated — no reliable weekly forecasts at individual depot level.
No regular model refresh cycle — forecasts quickly became stale and misaligned with actual market conditions.
Forecasting model built on historical sales and inventory data delivering reliable weekly demand signals per depot.
Forecasting logic tailored to different business areas — accounting for seasonality, festivals, and regional holidays.
Regular monthly updates ensuring ongoing accuracy, relevance, and alignment with shifting market conditions.
Decision-making transformed from intuition to data — monthly forecasts now drive procurement and distribution strategy.
Forecast accuracy across depots.
Demand and supply chain preparedness assured.
Production and marketing strategy with market demand.
Monthly forecasts replacing gut-feel planning.