Demand forecasting — Retail
Probabilistic forecasts at SKU and store level, feeding replenishment. Delivered for a retail client in Kolkata.
- Location
- Kolkata
- Year
- 2020
- Duration
- 29 weeks
- Team
- 6 engineers
- −30%
- forecast error
- −34%
- stock-outs
- 78k
- SKUs modelled
The challenge
Conditions on site — heat, dust, vibration and patchy connectivity — had defeated two earlier attempts at this in retail.
What we built
We owned the whole stack — hardware, firmware, models and dashboards — using LightGBM, Prophet, PostgreSQL so there was one accountable team.
Delivery timeline
Phase 1
Discovery sprint and site survey
Phase 2
Prototype built and tested in the Motera lab
Phase 3
Pilot on site with before/after measurement
Phase 4
Scale-out, training and handover
Highlights
- Operator training delivered in Gujarati, Hindi and English
- Designed, built and supported from Motera, Ahmedabad
- Before-and-after measurements agreed with the client up front
- Documentation, drawings and source handed over at close
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