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Home/AI for Logistics & Supply Chain/Lumenary Technologies
SaaS Case Study

Lumenary Technologies

A route optimization model that reduced fuel costs across a regional fleet.

+44%Feature Adoption
Lumenary Technologies digitallyscaled
ClientLumenary Technologies
IndustrySaaS / Software
Timeline5 weeks
ServicesAI for Logistics & Supply Chain
The Challenge

Where things stood before

Lumenary Technologies's biggest obstacle was a product experience that couldn't personalize or scale the way the market expected — something their team had tried to patch more than once without lasting success.

The problem was quietly getting more expensive to ignore every month it went unaddressed.

The Solution

What we built

Rather than jumping straight to a model, we spent time understanding the specific shape of the problem first.

The result was straightforward: a route optimization model that reduced fuel costs across a regional fleet, built specifically around what Lumenary Technologies needed.

  • Designed around Lumenary Technologies's actual data and workflow, not a generic template
  • Validated thoroughly before deployment to avoid production surprises
  • Benchmarked against clear, agreed-upon success metrics from day one
  • Structured so Lumenary Technologies's own team could monitor and maintain it going forward
Results

The impact, by the numbers

+44%
Feature Adoption
97.0%
Model Accuracy
-15%
Support Tickets
96.6%
Uptime
Tech Stack

Built with

PythonProphetOR-ToolsSQL

“I was skeptical this would actually work for us specifically. But +44% feature adoption within a few months, and the process to get there was more thoughtful than I expected.”

HQ
Halina Quennell

CTO, Lumenary Technologies

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