Digital Workflow and Data Management Platform for Supply Chain and Customer Engagement

The client faces difficulties with outdated manual and offline procedures in inventory, order management, and supplier relations. They aim to transition to digital, social, and mobile platforms to improve data accuracy, reduce operational costs, and enhance supplier and customer interactions, while minimizing operational risks associated with dispersed or paper-based data management.

A mid-sized distributor specializing in medical devices and pharmaceuticals, seeking to modernize their legacy manual processes and enhance operational efficiency.

• Reduce full-time equivalent (FTE) costs associated with manual operations by approximately 32%.
• Achieve around 88% in forecast accuracy to optimize inventory management.
• Decrease stockouts by approximately 0.9% to improve product availability.
• Enhance data accuracy and reporting capabilities with real-time updates and predictive analytics.
• Automate and streamline supply chain workflows through digital transformation.

• Web-based CRM module for managing customer and supplier interactions.
• Warehouse management system (WMS) enabling real-time inventory tracking and management.
• Delivery tracking system integrated with logistics providers via API or QR code automation.
• Dashboards and working panels for stakeholders to monitor operations and KPIs.
• QR code generation and tracking automation for product shipment and receipt verification.

• Integration with local delivery companies’ systems via APIs or data feeds for delivery status updates
• QR code printing and tracking systems
• Potential integration with existing warehouse or supply chain systems

• Application to support high loads with scalable architecture, targeting real-time updates
• Security compliance for sensitive data handling, including user authentication and access controls
• System availability and uptime of at least 99.9% for critical operations
• Data accuracy and consistency with reporting delays minimized

The project aims to significantly improve operational efficiency, reducing costs by approximately 32% through automation, enhancing demand forecasting accuracy to around 88%, and decreasing stockouts by 0.9%. It will enable real-time data visibility, improve stakeholder collaboration, and strengthen competitive positioning in the medical supply sector.