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By Published On: September 21, 2022Categories:

A logistics-focused client needed customers to see exactly where their shipments were, in real time. Kyomei Labs built the adaptive tracking system to make that possible, while cutting deployment time for future updates.

Challenge
The client required a mobile and web tracking application to give end customers real-time shipment visibility, while reducing backend deployment time for new features.

Solution
Our AI Web & App Development team built an adaptive tracking interface with machine learning-based ETA predictions and automated bug detection during deployment cycles.

Results
A 61% faster feature deployment cycle, improved customer satisfaction through more accurate real-time ETAs, and fewer post-launch bug reports thanks to automated QA integration.

  • Machine learning-based ETA prediction engine
  • Real-time shipment tracking dashboard (web + mobile)

  • Automated bug detection during deployment
  • Continuous performance optimization post-launch
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