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Logistics ยท AI / ML Solutions

Route Optimization Engine Cut Fuel Costs by 31%

๐Ÿข MetroFreight Partners ๐Ÿ“ New York โฑ 16 weeks ๐Ÿ‘ฅ 5 engineers
31%
Reduction in Fuel Costs
18%
Improvement in On-Time Delivery
$1.2M
Annual Fuel Savings

The Challenge

MetroFreight's fleet of 85 delivery vehicles was operating on static route plans from a scheduling system that hadn't been updated in 6 years. Fuel costs were rising 12% year-over-year and on-time delivery was declining despite the same staffing levels.

Our Solution

Block Logic built an AI-powered route optimization engine processing 50+ variables in real-time: live traffic, delivery time windows, vehicle capacity, driver hours regulations, fuel efficiency by vehicle, and historical performance by route segment. Routes are dynamically generated each morning in under 2 minutes and updated throughout the day. Dispatchers receive adjustments via a mobile app.

PythonOR-ToolsReact NativeFastAPIRedisGoogle Maps API

Results Delivered

Fuel costs dropped 31% โ€” $1.2M in annual savings. On-time delivery improved 18%. Driver overtime dropped 22%. Dynamic re-routing saves an additional 8% versus morning-only planning.

"The ROI calculation was a no-brainer. The system paid for itself in the first quarter and keeps saving us money every single day."

RK
Robert Kim
VP Operations, MetroFreight Partners

Project Details

A snapshot of this engagement

ClientMetroFreight Partners
IndustryLogistics
ServiceAI / ML Solutions
Duration16 weeks
Team Size5 engineers
LocationNew York
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Key Results
Reduction in Fuel Costs31%
Improvement in On-Time Delivery18%
Annual Fuel Savings$1.2M

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