Collect-on-Delivery Payment Transfer Using Shared Location Prediction
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Solution Overview
Problem
Collect-on-delivery orders often fail due to consumers not being present at the delivery location or forgetting to arrange payment, causing inconvenience and resource wastage.
Innovation Solution
A system where interconnected devices facilitate payment transactions between users via a data sharing application, allowing one user to complete a collect-on-delivery order on behalf of another based on location and account balance predictions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If collect-on-delivery orders are implemented, then consumer security and delivery accessibility are improved, but delivery failure rate increases due to consumers not being present or forgetting payment arrangement
Solution Approach 1:
The system performs preliminary actions by automatically initiating payment transactions before the delivery time slot based on location predictions. The payment is arranged in advance through automated data transactions between accounts, eliminating the need for consumers to manually arrange payment at delivery time and preventing delivery failures due to unprepared payment arrangements.
2Loss of energy
If manual payment arrangement is required at delivery location, then payment security is maintained, but computational resources are wasted on rescheduling and notifications for failed deliveries
Solution Approach 1:
The system implements self-service through automated payment transactions that occur without manual intervention. The COD facilitation module automatically initiates data transactions between accounts based on location predictions and account balance status, eliminating the need for manual payment arrangement and subsequent resource-wasting rescheduling operations for failed deliveries.
Solution Approach 2:
The system uses feedback mechanisms where the COD facilitation module continuously monitors location data and account balance status to determine when automated payment transactions should be initiated. This feedback loop ensures payments are arranged automatically before delivery time slots, preventing delivery failures and eliminating wasted computational resources on rescheduling.
3Adaptability or versatility
If consumers must be present at delivery location for payment, then payment verification is simplified, but delivery flexibility and user convenience are reduced
Solution Approach 1:
The system introduces an intermediary mechanism - the automated data transaction system - that mediates between the consumer and the payment process. Instead of requiring direct presence for payment, the system uses automated account-to-account transactions facilitated by the COD facilitation module, enabling flexible delivery scheduling without increasing perceived system complexity for users.
Data Source
AI summary
In accordance with the described techniques, an indication is received that a collect-on-delivery order associated with a first user is scheduled to be delivered at a delivery location during a particular time slot. A first device of the first user and a second device of a second user are interconnected via a data sharing application, enabling sharing of location data between the devices. Based on the location data, a prediction is made that the first user will not be present but the second user will be present at the delivery location during the particular time slot. Given this, a data transaction is initiated from a first account associated with the first device to a second account associated with the second device, and the data transaction is initiated based on a data status of the second account being unable to meet a data transaction criterion of the collect-on-delivery order.