Digital Delivery Model Optimizing Customer Capabilities
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Solution Overview
Problem
Current digital modeling techniques for product delivery do not effectively consider customer-specific package receiving capabilities, leading to potential delays in delivery, as they primarily focus on seller delivery system capabilities without accounting for customer-controlled factors like autonomous vehicles or drones.
Innovation Solution
A computer-implemented method and system that generates a digital model to determine alternative delivery techniques by analyzing both seller and customer delivery capabilities, including the use of autonomous vehicles or drones, to optimize delivery plans and communicate these plans to both the seller and customer systems for efficient product delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the delivery system only considers seller delivery capabilities to determine delivery timeline, then the delivery system can provide a straightforward delivery schedule, but it cannot detect or utilize customer-controlled factors like autonomous vehicles or drones that could enable earlier delivery
Solution Approach 1:
The delivery system is designed to universally accommodate multiple delivery scenarios by incorporating both seller delivery capabilities and customer delivery capabilities (such as autonomous vehicles or drones) into a single unified platform. This multi-functional approach allows the system to detect, evaluate, and coordinate various delivery modes depending on what capabilities are available to each party, thereby reducing delivery time without requiring separate specialized systems for different delivery scenarios.
Solution Approach 2:
The system enables customer delivery capabilities to be self-introduced and self-coordinated within the delivery framework. By allowing customers to provide information about their own delivery capabilities (such as having an autonomous vehicle or drone available), the system leverages these self-service capabilities to optimize delivery timing without requiring the seller or delivery system to actively manage or control these customer-side resources.
2Productivity
If the delivery system does not consider customer delivery capabilities, then the system remains simpler to operate, but it misses opportunities to utilize customer-controlled factors that could improve delivery efficiency
Solution Approach 1:
The delivery system incorporates feedback mechanisms that automatically detect and incorporate customer delivery capabilities into the delivery planning process. By receiving and processing information about customer capabilities (such as autonomous vehicle availability or drone delivery options), the system can adjust delivery timelines and routes to maximize efficiency. This feedback-driven approach improves productivity while maintaining operational simplicity, as the system automatically adapts to customer capabilities without requiring complex manual configuration.
3Reliability
If the delivery system focuses only on seller delivery capabilities, then the system design is more straightforward, but it cannot generate optimized delivery plans that utilize both seller and customer capabilities
Solution Approach 1:
The digital modeling system is segmented into distinct modules that separately analyze and evaluate seller delivery capabilities and customer delivery capabilities before integrating them into a comprehensive delivery plan. This segmentation allows the system to handle the complexity of multiple capability types in an organized manner, with dedicated processing for seller-side resources (such as delivery vehicles and routes) and customer-side resources (such as autonomous vehicles or drones), ultimately producing more accurate and reliable delivery plans without overwhelming complexity in any single area.
Data Source
AI summary
A digital model can be generated to determine alternative techniques for product delivery to a customer. A computer can receive data which includes a customer initiated request for delivery of a product from a seller having a seller delivery system with seller delivery capabilities, and the customer having a customer delivery system with one or more delivery capabilities. The customer delivery system and the customer delivery capabilities can be analyzed, including seller delivery system and seller delivery capabilities for transport specifications. A delivery plan can be determined for delivery of the product in response to the transport specifications, and the delivery plan can include one or more delivery modes of transportation of the product.