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Enterprise & LogisticsAndroid & iOS • 2024Play & App StoreBuilt at Version Next Technology

Axlpl Logistics (Ambe Xpress)

Google PlayApp Store

Enterprise multi-role logistics ecosystem with barcode scanning, COD tracking, and POD uploads.

Flutter Production ShowcaseEngine: Flutter 3.x • Dart
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Axlpl Logistics (Ambe Xpress)

Axlpl is a high-volume enterprise logistics and shipment tracking mobile system supporting multi-role operations across Drivers, Hub Managers, and Central Dispatchers throughout the entire freight lifecycle.

FlutterDartBLoC ArchitectureCamera & Barcode Scanner APIFirebase Cloud Messaging (FCM)REST APIs (Dio)SQLite Local Queue
The Problem & Engineering Goals

Field drivers and sorting hub managers were relying on fragmented paper manifests and phone calls, causing lost packages, delayed proof-of-delivery receipts, and inaccurate cash-on-delivery reconciliations.

Architectural Solution

Engineered an integrated BLoC-powered Flutter application with hardware camera-based barcode scanning, live parcel dispatch handoffs, and digital Proof-of-Delivery receipt capture.

Key Implemented Features

Multi-role authentication workflows dynamically adapting UI for Drivers, Hub Managers, and Dispatchers
Hardware-accelerated camera barcode and QR scanning for rapid parcel intake and dispatch
Cash-on-Delivery (COD) financial reconciliation with real-time audit logs
Digital Proof-of-Delivery (POD) with photo capture and on-screen signature confirmation
Real-time push notifications via Firebase Cloud Messaging (FCM) for instant route dispatches
Founder's Direct Contribution

Hands-on Engineering Scope

Flutter Developer at Version Next Technology. Engineered end-to-end shipment lifecycle tracking, built multi-role state logic with BLoC, integrated camera barcode scanning, and configured Firebase Cloud Messaging for urgent dispatch alerts.

Technical Challenges & How We Solved Them

Challenge 1:Scanning barcodes quickly in low-light warehouse conditions and across crumpled parcel labels.

Solution: Configured continuous autofocus and integrated torch controls with optimized image resolution thresholds, cutting scan recognition latency down to under 200 milliseconds.