Dynamic Order Routing via Hub Bidding and User Tracking
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Solution Overview
Problem
Current online delivery systems are static and do not account for user availability, leading to increased likelihood of missed deliveries and unnecessary inconvenience, as they rely on predetermined routes and times, resulting in added time and cost.
Innovation Solution
A dynamic order fulfillment system that tracks user movement using mobile devices, identifies alternative delivery locations and times based on historical and real-time data, and employs a bidding process among delivery hubs to optimize delivery routes and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a predetermined delivery route and time are used, then the delivery system operates with simple planning, but the customer availability decreases and missed deliveries increase
Solution Approach 1:
The delivery system transitions from static predetermined routes to dynamic routing that adapts in real-time based on customer location data, traffic conditions, and availability status. The system continuously updates delivery parameters during transit to optimize for successful delivery.
Solution Approach 2:
The system implements feedback loops by monitoring customer availability status, mobile device location, and delivery conditions in real-time. This feedback enables the system to adjust routing decisions dynamically, selecting alternative delivery locations or times based on current conditions rather than following fixed predetermined routes.
2Ease of operation
If the customer must be physically present at the address at the scheduled time, then the delivery can be completed, but the customer convenience decreases and unnecessary inconvenience is caused
Solution Approach 1:
The system performs preliminary actions by proactively identifying alternative delivery locations and times before the customer becomes unavailable. It uses historical data and real-time tracking to predict customer availability and prepares alternative delivery options in advance, allowing the customer to maintain convenience without compromising delivery completion.
Solution Approach 2:
The system changes delivery parameters dynamically by adjusting delivery location, time, and routing based on real-time customer availability data. Instead of requiring the customer to be present at a fixed address and time, the system modifies delivery parameters to match actual customer availability, thereby maintaining both convenience and delivery reliability.
3Productivity
If a static delivery system is used, then the routing process is simple, but the delivery time increases and additional costs are incurred when customers are not present
Solution Approach 1:
The system employs dynamic routing that continuously optimizes delivery paths based on real-time conditions including customer availability, traffic patterns, and location data. This dynamic approach prevents wasted time from missed deliveries by adapting the route and timing during the delivery process rather than following static predetermined paths.
Solution Approach 2:
The system uses automated real-time tracking and analysis of customer mobile device data to self-adjust delivery routing without requiring customer intervention. The system independently monitors customer availability and automatically selects optimal delivery options, improving efficiency while reducing the time loss associated with failed delivery attempts.
Data Source
AI summary
Examples provide order fulfillment that includes receiving an online order from a user. An initial distribution hub for delivery of the order is identified and the order routed from the initial distribution hub to an intermediate hub. A notification of receipt of the order at the intermediate hub is received and a user location is determined. A plurality of options for routing the order to a next hub based on the user location and a cost associated with routing the order to the next hub are identified. The cost is based on a bidding process performed among a plurality of possible hubs to which the order will be routed. The order is routed to the next hub in response to a user confirmation of acceptance of a change in delivery location for the order.