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Artificial IntelligenceDeliveredDemand forecasting

Demand forecasting — FMCG

Probabilistic forecasts at SKU and store level, feeding replenishment. Delivered for a fmcg client in Mumbai.

Location
Mumbai
Year
2025
Duration
11 weeks
Team
13 engineers
Interactive 3D · drag to rotate
−33%
forecast error
−42%
stock-outs
67k
SKUs modelled

The challenge

Leadership wanted measurable results inside one quarter, with no disruption to running operations.

What we built

Built in our Motera lab, validated on a replica rig, then commissioned on site in days using LightGBM and PostgreSQL.

Delivery timeline

  1. Phase 1

    Discovery sprint and site survey

  2. Phase 2

    Prototype built and tested in the Motera lab

  3. Phase 3

    Pilot on site with before/after measurement

  4. Phase 4

    Scale-out, training and handover

Highlights

  • Designed, built and supported from Motera, Ahmedabad
  • Before-and-after measurements agreed with the client up front
  • Remote monitoring and over-the-air updates included
  • Safety case reviewed with the client's EHS team

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