Replace an off-the-shelf fleet platform with a custom one.
AIoT Solution with Predictive Maintenance for Logistics Company Lowers Cost per Vehicle by 30%
Yalantis partnered with a US-based telematics company to develop a custom IoT-based fleet management system for real-time operations, replacing an expensive third-party platform and reducing the cost per vehicle by 30%.
Cost reduction
Customer growth
System availability
“The client came to us ready to move beyond selling hardware. They wanted to offer a complete service and finally own the whole solution.”
– Mykhailo Maidan, CTO at Yalantis
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FAQ
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Which levers actually produced the ~30% per-vehicle cost drop?
Eliminating the external software license, cutting map spend from ~$100K to ~$1.5K/month via an open-source mapping stack, and deploying a low-cost MDVR + custom streaming approach were the big wins. AWS cost controls and months of free credits helped too.
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Our fleets use Teltonika and other trackers; did you normalize those protocols?
Yes. We reverse-analyzed proprietary/partially undocumented formats, built custom parsers and error handling, and brought those devices into the same real-time pipeline and UI.
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What changed in ownership and lock-in risk once you moved off the SaaS?
The client now owns both hardware and software: a fully custom, AWS-hosted platform with no vendor lock-in, white-label flexibility for B2B customers, and a billing engine that supports multiple pricing models.
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Where did the revenue and customer growth come from if costs went down?
Owning the platform enabled pricing control and faster feature delivery; white-labeling opened new B2B deals. The result: ~20% customer growth alongside the cost reductions.
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What changed for the support organization post-launch?
Support requests dropped by ~50% and support costs fell 52%; issues are now handled proactively with parts-level replacements instead of whole-system swaps.
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How quickly did you get from “go” to a usable platform?
We stood up the core platform in ~10 months, which included device integration, React web app development, Node.js/Java back-end development, and AWS infrastructure. We then iterated into AIoT features after launch.
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