Development of an Automated Supply Chain and Delivery Management System for the Dairy Industry

The client faces reliance on manual and legacy practices in managing milk procurement and transportation, resulting in extended driver training periods, manual data entry errors, and inefficient route planning that hampers operational effectiveness and scalability.

A mid-sized dairy processing company aiming to modernize its supply chain operations and enhance delivery efficiency through digital solutions.

• Reduce driver training time and improve route navigation efficiency.
• Automate and optimize milk collection and delivery routes to save time, fuel, and costs.
• Digitize milk quantity documentation and integrate real-time data collection via IoT devices or manual input options.
• Enhance traceability and documentation for milk reception, quality inspections, and transfer to storage tanks.
• Increase overall operational transparency and accuracy in supply chain data, leading to improved decision-making and market competitiveness.

• Interactive mapping and route planning with pinpointed farm locations and dynamic road adjustments.
• Driver onboarding tool reducing training duration through precise navigation instructions.
• Automated route optimization algorithms based on delivery locations, vehicle capacity, and traffic conditions.
• Real-time data upload via IoT-enabled devices installed in milk tankers for automatic collection of milk quantities.
• Manual data entry interface for clients preferring tablet-based input, with real-time synchronization.
• Comprehensive CRM module tracking farmers, deliveries, drivers, vehicle fleets, and regulatory compliance (e.g., license expirations).
• Integration with weigh-in scales, laboratory testing results, and delivery documentation at receipt and dispatch points.
• Automated batch documentation, including QR code verification, to streamline quality control and compliance reporting.
• Digital route and supply audit report generation for full traceability from farm to plant.

• GPS and mapping services for route navigation adjustments.
• Weighing systems and laboratory information management systems for quality and quantity verification.
• QR code and barcode scanners for product verification during reception and inspection.
• Existing ERP or inventory management systems to synchronize supply data.

• System should support concurrent access for multiple users with high availability.
• Real-time data synchronization with minimal latency (< 2 seconds).
• Data security and compliance with industry standards for sensitive process data.
• Scalability to handle increasing farm locations, vehicles, and delivery volume.
• User authentication and role-based access control.

The implementation aims to significantly decrease driver training duration from two months to approximately three weeks, automate and optimize route planning, reduce manual data entry errors, and streamline documentation processes. These improvements are expected to boost operational efficiency, reduce fuel costs, enhance traceability, and strengthen market competitiveness, enabling capturing a larger market share within the dairy industry.