Retail / Food retail
Waitrose: Optimizing grocery delivery plans using traffic, vehicle capacity and time-slot demand
- Company
- Waitrose
- Country
- United Kingdom
- Adoption stage
- In operation
- Source published
- Date basis
- The date the source was published. It can differ from the date adoption started.
- How the source was checked
- Read the full source text
The work problem
Waitrose needed to use its vehicles efficiently while delivering large volumes of groceries at customers' chosen times. Traffic, vehicle capacity, delivery windows, order demand and seasonal peaks interact, creating many daily planning decisions. Maintaining customer choice of delivery slots as volumes grew was a key challenge.
Technology and data
Satalia worked with Waitrose's operations teams to develop, test and refine an AI-powered delivery optimization platform around real operating conditions. It supports delivery-network planning and management by considering traffic, vehicle capacity, time windows and demand together. The teams simulated peak Christmas demand at the Coulsdon hub with 130 vehicles. The supplier said that at publication the platform operated across 170 stores, two Customer Fulfilment Centres and 1,400 vans, supporting approximately 160,000 home deliveries per week.
Results
Satalia reported a 10% reduction in operating costs, an 8% reduction in delivery mileage and a 12% increase in deliveries per route. It said customer delivery-slot availability increased by 4% despite rising volumes, while today-for-tomorrow slots at Coulsdon increased by 50%. Waitrose's Head of Change Delivery and Technology said the system enabled more precise and convenient delivery times while reducing environmental impact.
Limits and open questions
The source does not disclose the measurement period or a comparison group. Coulsdon's 50% improvement concerns next-day delivery slots at that site and must not be applied to the whole network.
Sources
Compiled from public sources. These are not results from ATF Works customers.