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Artificial IntelligencePilotDemand forecasting

Demand forecasting — Dairy

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

Location
Bharuch
Year
2024
Duration
29 weeks
Team
5 engineers
Interactive 3D · drag to rotate
−21%
forecast error
−47%
stock-outs
9k
SKUs modelled

The challenge

The dairy team was relying on manual effort that could not keep up with volume, and every miss had a direct cost.

What we built

A phased rollout: a measured pilot first, then scale-out. The core runs on LightGBM with Prophet, integrated into existing systems through Airflow.

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

  • Integrated with existing PLC, ERP or GIS systems — no rip-and-replace
  • Designed, built and supported from Motera, Ahmedabad
  • Operator training delivered in Gujarati, Hindi and English
  • Before-and-after measurements agreed with the client up front

Have a problem that needs a machine built for it?

Tell us the constraint — line speed, accuracy, environment, deadline. An engineer will read it and reply with a straight answer, including when the answer is that you don't need us.

We reply to every enquiry within one business day.