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Case Study:
Food delivery

Forecasting demand to drive excellence in delivery

We enabled this London based food delivery company to forecast demand for its drivers and riders so that they could better service their customers.

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Background:

  • Premium food delivery service in London

  • Exciting and rapid period of growth

  • No insight into performance

  • Big challenge with demand forecasting

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Objective:

  • Understand and predict demand from customers

  • Understand and predict demand for drivers

  • Understand and predict demand for restaurants

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Solution:

  • Identified and collected internal and external data to support required analysis and construct an analytical data set

  • Built a multi-period (daily, weekly, monthly) econometric, automated forecast model for orders

  • Created toolset integrating forecasts into current systems

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