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Artificial IntelligencePilotDemand forecasting

Demand forecasting — E-commerce

Probabilistic forecasts at SKU and store level, feeding replenishment. Delivered for a e-commerce client in Visakhapatnam.

Location
Visakhapatnam
Year
2023
Duration
31 weeks
Team
11 engineers
Interactive 3D · drag to rotate
−20%
forecast error
−21%
stock-outs
9k
SKUs modelled

The challenge

Existing vendors had delivered pieces of a demand forecasting system, but nobody owned the integration and the pilot had stalled.

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

  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
  • Runs on-premises; no data leaves the site unless agreed
  • Documentation, drawings and source handed over at close

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