Trusted Contact Delivery Recommendations for E-commerce Checkout

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Solution Overview

Problem

E-commerce transactions often result in delayed or lost packages due to the recipient not being available at the selected delivery address, causing inconvenience to users, merchants, and delivery services, as current systems lack guidance on alternative delivery locations based on historical delivery data and relationships with trusted contacts.

Innovation Solution

A computer-implemented method that updates a user's delivery profile with data from previous orders, recommending trusted contacts as alternative delivery addresses during the checkout process, using social media connections and real-time location information to ensure package delivery to a trusted contact if the user is not available, with a special shipping label indicating the package is intended for the user.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the system uses the user's selected delivery address without alternatives, then the checkout process is simple, but the package may be delayed or lost if the user is not available

Engineering Contradiction:
Improvedelivery reliabilityVSAvoidsystem complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system pre-identifies trusted contacts and stores them in the user delivery profile before checkout. Historical delivery data is analyzed in advance to determine user availability patterns, so that alternative delivery options are ready when needed without adding complexity during the checkout process.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system introduces trusted contacts as intermediaries between the user and the delivery process. These contacts serve as alternative recipients who can receive packages when the user is unavailable, resolving the contradiction between simple checkout and reliable delivery.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If the system provides multiple delivery recommendation options including trusted contacts, then delivery reliability improves, but the checkout process becomes more complex

Engineering Contradiction:
Improvedelivery success rateVSAvoidcheckout convenience
Core Design Contradiction:
ReliabilityVSEase of operation

Solution Approach 1:

The system provides delivery recommendations selectively based on historical data analysis. Instead of always presenting multiple options, it only offers alternative trusted contact delivery options when the analysis indicates the user is likely to be unavailable, thus maintaining checkout simplicity while improving delivery reliability when needed.

Inventive Principle:
Principle #16Partial or excessive action

Solution Approach 2:

The system uses historical delivery data (missed deliveries, successful deliveries, delivery times) as feedback to automatically determine when to offer alternative delivery options. This feedback mechanism allows the system to balance between providing helpful recommendations and maintaining checkout simplicity.

Inventive Principle:
Principle #23Feedback

3Measurement precision

If the system analyzes historical delivery data to identify trusted contacts, then delivery recommendations become more accurate, but data processing requirements increase

Engineering Contradiction:
Improvedelivery recommendation accuracyVSAvoidcomputational resources
Core Design Contradiction:
Measurement precisionVSUse of energy by moving object

Solution Approach 1:

The system performs historical data analysis and trusted contact identification in advance, before the checkout process. By pre-processing the data and storing results in the user delivery profile, the system achieves high recommendation accuracy without requiring intensive computational resources during checkout.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11348062B2E-commerce delivery address upon checkout based on trusted contacts and estimated delivery times
Publication Date: 2022.05.31 INTERNATIONAL BUSINESS MACHINE CORPORATION
  • US11348062B2 patent drawing
  • US11348062B2 patent drawing
  • US11348062B2 patent drawing

AI summary

A computer-implemented method for providing delivery recommendation options for an E-commerce transaction. The method includes obtaining delivery data of previous orders purchased by a user from a plurality of E-commerce retailers. The method updates a user delivery profile of the user based on the delivery data of the previous orders purchased by the user from the plurality of E-commerce retailers. The method provides delivery recommendation options to the user during a checkout process of an order associated with the plurality of E-commerce retailers based on the user delivery profile and an estimated scheduled delivery. The delivery recommendation options include one or more trusted contacts of the user. The method receives a selection of a trusted contact from the delivery recommendation options. The method generates a shipping label addressed to the trusted contact. The shipping label includes an indication that the package is intended for the user.