Demand sensing cuts stock-outs and waste for a retailer
Grocery Retailer — a retail organisation — engaged Skillikz on ai demand sensing: Forecasting that balances availability against waste. This case study sets out the business challenge, the AI-led approach we took, the technologies involved and the measurable outcomes delivered over 7 months.
Coarse forecasts caused both empty shelves and spoilage, hurting sales, sustainability and margin at once.
We built store- and SKU-level demand sensing on a refreshed data platform, refreshed daily and integrated into replenishment.
Stock-outs fell 20% and waste 15% as forecasts got sharper and refreshed daily at store level.
The AI services behind this outcome
A project like this draws on a focused set of Skillikz services — from first assessment to a working pilot and a clear path to scale.