This project focused on diagnosing and resolving a real-world failure in a logistics handheld scanning system used for remote warehouse operations. A device-side error revealed a mismatch between user input and backend data constraints, causing scan transactions to fail when character limits were exceeded. By analyzing the scanner output and system behavior, I identified the root cause as missing validation between the handheld device and the backend service.

I designed and implemented an automated backend validation layer that enforces input length constraints, prevents system crashes, and ensures consistent data handling across devices. The solution improves reliability for remote monitoring workflows by safely handling invalid inputs while preserving operational continuity. The fix was deployed as part of the backend service, enabling seamless integration with existing scanning hardware and reducing error rates in live logistics environments.