AI demand forecasting for a logistics leader
Machine learning forecasts improved fleet utilisation by 22% and cut empty miles.
22% better fleet utilisation
18% fewer empty miles
Forecast accuracy of 94%
Planning time reduced by 60%
The challenge
SwiftMove relied on spreadsheets to plan fleet capacity, leading to costly over-provisioning in quiet periods and missed deliveries during peaks.
Our solution
We built a data platform consolidating shipment, weather and customer data, then trained gradient-boosted forecasting models served via an API to the planning system, with Power BI dashboards for planners.
The results
- 22% better fleet utilisation
- 18% fewer empty miles
- Forecast accuracy of 94%
- Planning time reduced by 60%
More case studies
70% faster page loads
Banking & Finance
Rebuilding a digital banking portal for 500K customers
A modern, secure customer portal that cut page load times by 70% and support tickets by 40%.
Read case study
35% lower infrastructure cost
Retail & E-commerce
Migrating a national retailer to the cloud
Moved 120 on-premise servers to Azure, reducing infrastructure costs by 35%.
Read case study
Launched in 14 weeks
Healthcare
Launching a HIPAA-compliant telemedicine platform
iOS, Android and web apps enabling 50,000 virtual consultations in the first six months.
Read case study
Have a similar challenge?
Tell us about your goals. A senior consultant will reply within one business day with ideas, a plan and a clear estimate.
- Free 30-minute consultation
- Proposal within 48 hours
- NDA on request