Fleet Management and AI Route Optimisation for a National Delivery Network
Logistics
What They Were Facing
SwiftHaul operated a fleet of 1,200 vehicles making 35,000 deliveries per day across 28 metropolitan areas. Route planning was done manually by regional dispatchers using static zone assignments, resulting in 18% deadhead miles and frequent missed delivery windows. Drivers lacked real-time communication tools, vehicle maintenance was purely reactive, and the company had no visibility into fleet-wide fuel consumption patterns. Rising fuel costs and customer demands for precise delivery windows were squeezing margins below profitability thresholds.
How We Solved It
AQBEE deployed an AI-powered fleet management platform built on Salesforce with AWS for analytics and optimisation. A custom route optimisation engine on Amazon SageMaker analysed historical delivery data, real-time traffic, weather conditions, and vehicle capacity to generate optimal routes each morning and dynamically adjust throughout the day. Salesforce Field Service managed work orders, driver assignments, and customer communication with real-time ETA updates via Marketing Cloud. AWS IoT Core collected vehicle telematics for fuel monitoring, driver behaviour scoring, and predictive maintenance alerts. MuleSoft integrated warehouse management and order management systems for seamless dispatch-to-delivery orchestration. Tableau dashboards provided fleet performance analytics across all 28 regions.
The Impact
AI route optimisation reduced deadhead miles from 18% to 6%, saving $4.8M annually in fuel costs across the 1,200-vehicle fleet.
Dynamic routing and real-time traffic adjustments increased on-time delivery rates from 74% to 96%, meeting premium SLA requirements.
Predictive maintenance from telematics data reduced unplanned vehicle downtime by 42%, keeping more trucks on the road daily.
Optimised routing and reduced deadhead miles enabled each driver to complete 28% more deliveries per shift without increasing hours.
“Our dispatchers used to spend four hours every morning building routes by hand, and drivers still missed 26% of their windows. Now the AI generates optimised routes in minutes, adjusts them dynamically for traffic, and our on-time rate is 96%. We saved $4.8M in fuel alone in the first year. AQBEE did not just optimise our fleet — they saved our margins.”
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