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Route optimization that cut fuel spend without new hires

Loop Logistics optimized real-time delivery routing to directly reduce operational fuel overheads.

18%
reduction in fuel cost
12%
faster delivery completion
8wks
kickoff to rollout
Loop Logistics — route optimizer
Industry
Logistics
Built by
After Concept
Engagement
Logistics Engine, 8 weeks
Stack
Next.js, Tailwind, Python Route API
01 / Challenge

Operational Gaps & Core Bottlenecks

Rising fuel prices and inefficient static routes impacted operational margins.

  • Static daily routing ignored real-time traffic.
  • Inefficient stop sequencing increased fuel usage.
  • High driver stress and delivery delays.
02 / Solution

System Architecture & Workflow Design

Engineered dynamic routing algorithms tailored for urban delivery routes.

  • Dynamic stop sequencing.
  • Real-time traffic adaptation engine.
  • Fleet fuel consumption analytics.
03 / Capabilities

What the system does.

  • Automated route generation.
  • Live ETA updates for customers.
  • Fuel cost tracking dashboard.
04 / Results

Measurable Outcomes & Production Value

Achieved an immediate 18% reduction in total fuel expenditures across the fleet.

18%
fuel expenditure saved
12%
faster turnaround time
0
extra hires needed

This is what After Concept builds: not a dashboard bolted onto a broken process, but the underlying system rebuilt so the dashboard has something true to show.

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