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Bilytica · Retail and FMCG

Demand forecasting, customer analytics and store AI for retailers and brands

Bilytica · Retail and FMCG
  1. Retail & FMCG

    Thank you for your time. This is Bilytica’s brief for retail and FMCG. We have worked with Carrefour, Walmart, Unilever, Coca-Cola, PepsiCo, H&M and Salling Group, and with a Saudi retail group running 640 stores.

  2. The shelf is empty, and the stockroom is full

    Here is what we hear from retail leaders: stock-outs next to overstock, forecasts that miss Ramadan and the seasons, promotions without proof of return, unused loyalty data, fresh food waste, and branches waiting for HQ reports.

  3. Fix the data, then the AI

    Without clean data, sales, stock and promotions sit apart, products are coded differently, forecasts live in spreadsheets and managers wait for reports. With our trusted data layer: one view, one product master, store-level forecasts that learn the seasons, and branch answers on WhatsApp.

  4. What we build

    These are the use cases we deliver for retail and FMCG: demand forecasting as with Carrefour and Walmart, promotion optimisation as with Salling Group, customer and loyalty analytics, route-to-market AI for brands, Sawal for branch managers on WhatsApp, and Sabeq for store support with SLAs.

  5. Fewer empty shelves in every store

    A retail group with 12 brands and 640 stores put sales, stock and promotions on one trusted data layer, with Sawal on WhatsApp for branch managers. Stock-outs fell 63 percent, and promotion sell-through rose 11 points in pilot stores.

  6. Fresher shelves, less waste

    With Carrefour, we delivered category management analytics across stores, loyalty programme analytics, and fresh food demand forecasting that reduces waste.

  7. Trusted in the sector

    Some of the retailers and brands we have worked with: Carrefour, Walmart, Unilever, PepsiCo, Coca-Cola, H&M, Salling Group and ICA.

  8. Sovereign by design

    Regulation is designed in from day one. Our solutions run inside the Kingdom, on HUMAIN, in your own cloud or fully on premises. Every AI query obeys the same access rules as the source system. Every answer is logged with its metric, query and user. And with Burhan, you can prove PDPL and NDMO compliance on your actual data, not just on paper.

النسخة العربية