ML-Driven Routing Engine Saving $2.4M/Year in Telecom Costs
Challenge
Telecom routing costs for toll-free numbers were bleeding millions annually. Routing decisions were static and never revisited, even as carrier rates and call patterns shifted daily.
Approach
Built an ML-driven .NET routing engine that analyzed the previous day’s call data, identified optimal routing changes for toll-free numbers, and executed those changes automatically via carrier APIs. The system re-evaluated performance the next day and continuously refined its decisions: a self-improving optimization loop running without manual intervention.
Result
$2.4M per year in telecom cost savings. Fully automated, with no human in the loop for daily routing decisions. Continuous optimization that got smarter over time.
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