Route Optimization for Fresh Product Delivery Case Study

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Route Optimization for Fresh Product Delivery Case Study

Case study showing AI route optimization results for a Paris wholesaler delivering fresh products with 12 refrigerated trucks.

Published

June 4, 2026

Read time

3 min read

Source

This case study examines route optimization for a wholesaler delivering fresh products to restaurants and traders in Paris using 12 refrigerated trucks. The analysis covers five days of operations with 207 average daily deliveries. Kardinal's algorithm prioritized time slot compliance, vehicle count reduction, and total driving time. Results include 98.6% time slot adherence, 11.2% fewer kilometers, 15.4% fewer vehicles, and 17.4% lower OPEX costs.

Key takeaways

Time slot compliance improved from 76% to 98.6%

Average vehicles per day reduced from 11.4 to 9.6

Daily kilometers decreased 11.2% from 5,139 to 4,564

OPEX costs fell 17.4% from 5,000 to 4,260 euros per day

Productivity rose 22.9% from 18.6 to 21.6 deliveries per driver

Market overview

SCR methodology note

Vendor landscape

Leaders

Implementation considerations

Important consideration

Original Source

Vendors mentioned in this report

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