Mobile & Logistics
ScanPro: High-Performance Offline Barcode Inventory App
Cross-Platform Mobile Warehouse Solution with Offline-First Synchronization & Enterprise WMS Sync
A lightning-fast native barcode scanning application that eliminates warehouse data silos with an offline-first sync engine and instant WMS reconciliation.
Warehousing & Supply Chain5 monthsTeam: 6 Engineers$85,000Completed & Deployed
Technology
React NativeTypeScriptFirebaseSQLite (Offline DB)Google ML Kit Barcode APINode.js Backend
Platform
iOS AppAndroid AppHandheld Scanner
99.98%
Accuracy
+65%
trackingSpeed
120+
scansPerMin
50k scans
offlineQueue
-94%
errorDrop
Overview
Project Overview
We conceptualized and delivered ScanPro, a cross-platform barcode scanning mobile app that removes warehouse data silos with an offline-first sync engine. Floor teams scan inventory in low-light and gloved conditions; when connectivity returns, queues reconcile cleanly with the e-commerce and WMS backends. The result is 65% faster cycle counts, zero stockout penalties on marketplaces, and reliable inventory truth for Amazon and multi-channel sellers.
Client Context
A nationwide 3PL fulfillment provider serving high-volume e-commerce brands across North America.
Accelerated warehouse inventory tracking speed by 65% across 4 major fulfillment centers
Achieved 99.98% inventory count accuracy with zero data loss during network blackouts
Reduced picker scanning error rate by 94% with audio-visual haptic feedback
Challenges
Key Challenges
Obstacles we identified and addressed during the project.
- 1Scanning barcodes reliably in dark warehouse aisles, damaged labels, and under reflective plastic wrap
- 2Ensuring seamless offline operation when network connectivity drops inside large steel warehouse facilities
- 3Optimizing UI/UX for warehouse workers using rugged handheld devices with gloved hands
- 4Reconciling simultaneous offline scans from multiple warehouse workers without inventory data conflicts
Solutions
Our Solutions
Technical and strategic approaches that resolved each challenge.
- Integrated Google ML Kit Barcode API with custom camera frame processing for instant low-light scanning
- Architected an offline-first SQLite database queue with auto-retry synchronization when Wi-Fi connection restores
- Designed a high-contrast dark UI with touch targets optimized for industrial handheld devices and gloves
- Engineered vector clock conflict-resolution algorithms in Node.js to merge parallel warehouse scan queues cleanly
Highlights
Project Highlights
Key features and achievements delivered.
1
Accelerated warehouse inventory tracking speed by 65% across 4 major fulfillment centers
2
Achieved 99.98% inventory count accuracy with zero data loss during network blackouts
3
Reduced picker scanning error rate by 94% with audio-visual haptic feedback
4
Processed over 50,000 offline scan operations seamlessly reconciled upon Wi-Fi reconnection
Goals
Strategic Objectives
Strategic objectives that guided the project.
Streamline warehouse cycle counts, goods receiving, and order picking workflows
Eliminate inventory discrepancies between physical warehouse shelves and online e-commerce channels
Provide an intuitive mobile tool that requires zero training for temporary warehouse staff
Strategy
Implementation Approach
Implementation approach and technical decisions.
Outcomes
Achieved Results
Measurable results and business impact.
Accuracy Improvement — Achieved 99.98% stock reconciliation accuracy across all warehouse locations
Cost Reduction — Saved $140,000 annually in avoided mis
picks and wrong - item shipping costs
Client
Our Client
Who we built this for.
LogistiCore Warehousing Systems
Logistics & Fulfillment · Enterprise (12 Warehouses) · Chicago, USA
A nationwide 3PL fulfillment provider serving high-volume e-commerce brands across North America.
Client Requirements
- 1
Offline-first mobile app compatible with Android rugged handhelds
- 2
Sub-100ms barcode scanning for damaged and low-light shipping labels
- 3
Real-time integration with internal WMS and client Shopify stores
Solution
Proposed Solution
Our approach and rationale.
Our Approach
A React Native cross-platform mobile application powered by SQLite for local offline queue storage, Google ML Kit for instant barcode decoding, and a Node.js reconciliation engine for conflict-free WMS data sync.
Why We Choose This Solution?
- Cross-platform React Native codebase runs on iOS, Android, and industrial handheld devices
- Offline-first architecture ensures 100% warehouse uptime regardless of Wi-Fi stability
- Proven experience in building high-speed logistics and inventory tracking solutions
Benefit of This Solution
A rugged, high-speed mobile warehouse scanning solution that guarantees total inventory accuracy even in zero-network environments.
Features
Key Features
Core platform capabilities delivered.
Offline-First Sync Engine
Continues scanning smoothly during network outages and auto-syncs when connection returns.
High-Speed Camera & Scanner API
Scans damaged, blurred, or low-light barcodes in under 50ms.
Glove-Friendly Industrial UX
Large touch controls, high-contrast visual cues, and haptic feedback for warehouse workers.
Multi-Warehouse Routing
Real-time stock location tracking across aisles, bins, and multiple fulfillment centers.
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