Enterprise Mobile Inventory Management System with Offline Capabilities

The client faces labor-intensive and time-consuming manual inventory procedures that lead to inaccuracies, misplaced stock, and operational delays, especially in large or infrastructure-challenged storage facilities with inconsistent internet connectivity. This hampers timely decision-making, causes financial losses, and reduces overall efficiency.

A mid-to-large logistics company managing multiple warehouses and distribution centers, seeking to optimize inventory processes and reduce manual errors.

• Develop a mobile application enabling workers to quickly verify and record inventory using barcode scanning technology.
• Implement offline functionality to ensure continuous operation irrespective of network status, with seamless synchronization once connected.
• Provide management with a web-based control panel for real-time monitoring, reporting, and adjustment of inventory data.
• Automate stocktaking reports and facilitate quick identification of discrepancies to reduce manual oversight.
• Enhance operational accuracy, reduce errors by immediate feedback on incorrect scans, and optimize warehouse workload scheduling.

• Barcode scanning integration with custom SDK to verify stock items against pre-uploaded checklists.
• Real-time feedback on scan accuracy, discrepancies, and actions needed.
• Automatic report generation on stock counts, errors, and adjustments.
• Offline mode operation with data synchronization upon reconnect.
• Admin dashboard for inventory monitoring, user role management, and workflow adjustments.
• Remote job assignment and scheduling capabilities for staff.
• Profiles and status updates for employees and storage facilities.

• Barcode scanner SDKs for inventory verification
• Cloud server/database for data synchronization and storage
• Authentication and user management systems

• Offline operation with data synchronization within 15 minutes of reconnection
• Scalability to support multiple warehouses and user counts
• High data security and role-based access control
• Performance capable of handling concurrent scan sessions and report generation

The deployment of this automated inventory management system is expected to significantly reduce manual errors, improve data accuracy to near real-time levels, save approximately 20-30% of operational time in stocktaking procedures, and provide management with actionable insights for optimized logistics and inventory control, leading to cost reductions and increased productivity across storage facilities.