Pull Ordering System for Retail Supply Chain Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Prior art retail supply chain management systems face issues with inventory stockpiling, leading to spoilage and delivery delays due to inefficient optimization of warehouse inventory levels, as they rely on 'push ordering' systems that stockpile products, resulting in either excess or insufficient stock.
Innovation Solution
A 'pull ordering' system that intelligently aggregates retailer e-commerce orders into optimized supplier orders in real-time, using machine learning to minimize inventory levels, order numbers, product and delivery costs, and optimize delivery times by dynamically adapting to demand through an e-commerce subsystem, order management subsystem, and electronic warehouse infrastructure with pick grid and dispatch optimizers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If push ordering systems are used to optimize delivery times and meet customer demand, then delivery speed is improved, but inventory stockpiling increases leading to spoilage and excess costs
Solution Approach 1:
The patent inverts the traditional push ordering approach by implementing a pull ordering system where retailer orders trigger supplier production and delivery. Instead of pushing inventory through the supply chain based on forecasts, the system pulls products through based on actual customer demand, eliminating the need for stockpiling while maintaining fast delivery.
Solution Approach 2:
The system enables automatic order aggregation and routing without manual intervention. The electronic platform automatically collects retailer orders, aggregates them by supplier, determines optimal delivery routes, and coordinates pick-up times, allowing the supply chain to self-regulate inventory levels based on real-time demand signals.
2Reliability
If warehouse inventory levels are increased to prevent delivery delays, then delivery reliability is improved, but storage costs and spoilage risk increase
Solution Approach 1:
The system performs preliminary aggregation of retailer orders before supplier delivery. By collecting and consolidating orders in advance, the system ensures that suppliers deliver only what is needed, eliminating the need for warehouses to maintain safety stock while guaranteeing delivery reliability through coordinated logistics.
Solution Approach 2:
The electronic platform provides real-time feedback on order status, inventory levels, and delivery timelines to all supply chain participants. This continuous information flow enables dynamic adjustment of delivery schedules and inventory levels, maintaining high delivery reliability without requiring excess warehouse stock.
3Adaptability or versatility
If multiple separate orders are placed to meet diverse retailer demands, then customer satisfaction is improved, but the number of orders and delivery costs increase
Solution Approach 1:
The system merges multiple retailer orders into consolidated supplier deliveries. By aggregating orders from different retailers that share common suppliers and delivery routes, the system maintains the ability to fulfill diverse customer demands while reducing the total number of separate deliveries and associated costs.
Solution Approach 2:
The electronic platform serves multiple functions simultaneously: it acts as an order collection point for retailers, an aggregation engine for suppliers, a routing optimization system, and a coordination hub for logistics. This multi-functionality allows the system to handle diverse demands efficiently without requiring separate specialized systems for each function.
Data Source
AI summary
The present supply chain management system has an e-commerce subsystem having a product inventory database comprising product SKU and pricing data and an e-commerce frontend interfacing the product inventory database for receiving retailer e-commerce orders. The system also has an order management subsystem having an aggregation controller for aggregating the retailer e-commerce orders into supply orders, an aggregation optimizer for optimizing the supply orders; and an order dispatch controller for dispatching the supply orders to suppliers. The system also has an electronic warehouse infrastructure having a pick grid controller having product tracking electronic scanning devices, the pick grid controller configured for generating pick grid instructions for pick-to-zero product placement from supplier pallets received for the supply orders to order pallets configured according to the retailer e-commerce orders.