Dynamic Return Routing System for Logistics Cost Reduction
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Solution Overview
Problem
Conventional methods for handling returns in web-based shopping face challenges such as high costs and long times for return shipping, especially when customers are not near designated return locations, and require specialized processing for items like jewelry or electronics, which can be costly to replicate at multiple locations.
Innovation Solution
A software system dynamically determines the routing of returned items by selecting intermediate and final return destinations based on current conditions, using various shipping locations like USPS Bulk Mail Centers, and dynamically chooses the shipping carrier, mode, and route to minimize costs and maximize efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If customers ship returned items to pre-designated return centers, then merchants can process returns, but return shipping costs and processing time increase significantly when customers are not near designated return locations
Solution Approach 1:
The system dynamically determines return routing by selecting from multiple possible destinations (return centers, customer locations, third-party locations) based on real-time conditions. The routing decision changes dynamically rather than following a fixed pre-designated path, allowing optimization of time and cost based on current shipment status and destination availability.
Solution Approach 2:
The patent introduces an intermediary routing determination system that acts between the customer's shipping action and the final return destination. This intermediary system (the routing determination module) analyzes multiple factors and selects optimal intermediate or final destinations, such as using customer locations as temporary holding points or routing through third-party locations, thereby reducing the time and cost penalty for customers away from designated return centers.
2Reliability
If merchants designate multiple specialized return centers for different item types, then specialized processing can be provided, but the cost of replicating specialized facilities at multiple locations increases
Solution Approach 1:
The system segments the return processing function by separating the specialized processing capability from the physical facility location. Instead of requiring specialized facilities (like jewelry or electronics processing centers) to be replicated at multiple locations, the system segments the process into: (1) collection points (which can be anywhere), (2) routing determination (which selects optimal paths), and (3) specialized processing (which occurs at centralized expert locations). This segmentation allows specialized processing to be provided without replicating the expensive facilities.
Solution Approach 2:
The routing determination system provides a universal service that can handle all item types through a single system, rather than requiring separate specialized facilities for each item category. The same routing system can direct jewelry returns, electronics returns, or general merchandise returns through appropriate channels, making the system multi-functional and eliminating the need to replicate specialized infrastructure at multiple locations.
3Productivity
If conventional return processing is used, then merchants can handle returns, but the cost of processing returns increases and customer satisfaction decreases due to long processing times
Solution Approach 1:
The system changes the parameters of return processing by analyzing multiple dynamic factors including item type, location, shipping costs, processing requirements, and customer preferences. By changing the routing parameters dynamically based on these factors, the system optimizes both cost and efficiency. For example, it may change the destination parameter to a customer's location rather than a fixed return center, or change the shipping method parameter to reduce costs while maintaining acceptable processing speed.
Data Source
AI summary
Techniques are described for automatically and dynamically determining how to handle items being returned from customers while the items are in transit. Various factors may be considered to determine appropriate item return handling, including by assessing current conditions at the time of the determination. In addition, the dynamic item return handling may include selecting one of various potential return destinations for each item being returned and one of various types of return routing for the return. In some situations, the item return handling is performed for an item being returned from a customer while the item is at an intermediate shipping location, such as a selected location to which the customer was directed to send the item. This abstract is provided to comply with rules requiring an abstract, and with the intention that it will not be used to interpret or limit the scope or meaning of the claims.