Logistics & Supply Chain
Representative engagementForecasting demand across a logistics network
A governed forecasting system that helps planners position capacity against demand at the level where operating decisions happen.
Context
The situation
A logistics operator plans capacity across regions and facilities using spreadsheets and planner judgment. Demand shifts, seasonality and customer changes lead to idle capacity in some places and overload in others.
Problem definition
How we framed it
The decision was capacity allocation, so the forecast needed to be at the level planners act on, with uncertainty ranges they could plan against. We started by reconstructing the current planning baseline and agreeing how forecast quality would be judged before building models.
Delivery
What we built
- A data platform joining orders, shipments, customer and external calendar data into a governed model
- Hierarchical forecasting models at network, region and facility levels with reconciliation between them
- Uncertainty ranges and scenario views so planners can prepare for peaks rather than single-point estimates
- Planner tooling that shows forecasts alongside capacity and lets teams override with reasons captured
- Monitoring of forecast accuracy by segment with automated retraining
Similar problem? We would love to hear it.
Operating impact
What changes for the business
Planning conversations shift from arguing about numbers to deciding on actions, capacity is positioned ahead of demand rather than after it, and the organization has a data foundation for further optimization such as routing and pricing.
Related services
Services involved
Industry
The domain behind the work
Next step
Ready when you are.
Tell us what you are trying to build and we will come back with a point of view, not a pitch.