Predictive Order Generation for Regular Purchase Transactions

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Solution Overview

Problem

Merchants often lack access to comprehensive information about their customers' shopping habits, making it difficult to assist buyers in processing regular transactions.

Innovation Solution

A service provider collects and analyzes buyer and merchant information to predict regular purchasing behavior, offering item recommendations and facilitating transactions by placing orders or making reservations on behalf of buyers, with the option for payment processing.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If merchants manually assist buyers with regular transactions, then service quality is maintained, but time consumption and operational complexity increase

Engineering Contradiction:

ImproveTransaction processing easeVSAvoidTime for regular transactions

Core Design Contradiction:

Ease of operationVSLoss of time

Solution Approach 1:

The system performs preliminary actions by automatically generating order predictions before the buyer actually places an order. The merchant service receives buyer behavior data, predicts regular purchases in advance, and prepares orders ahead of time, eliminating the need for manual transaction processing at the point of sale.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system enables self-service by allowing the merchant service to automatically process regular transactions without merchant intervention. The automated order generation and transaction processing functions operate independently, freeing merchants from manual assistance tasks while maintaining service quality.

Inventive Principle:

Principle #25Self-service

2Ease of operation

If merchants access comprehensive buyer shopping habit information, then transaction assistance improves, but information security and privacy risks increase

Engineering Contradiction:

ImproveCustomer service capabilityVSAvoidPrivacy exposure risk

Core Design Contradiction:

Ease of operationVSObject-affected harmful factors

Solution Approach 1:

The merchant service acts as an intermediary between the buyer and the transaction system. It receives and processes buyer behavior data, generates order predictions, and facilitates transactions without requiring the merchant to directly access or store sensitive buyer information, thereby reducing privacy exposure risk while improving service capability.

Inventive Principle:

Principle #24Intermediary (Mediator)

3Productivity

If automated order prediction system is implemented, then transaction efficiency increases, but system complexity and development cost increase

Engineering Contradiction:

ImproveTransaction processing efficiencyVSAvoidSystem architecture complexity

Core Design Contradiction:

ProductivityVSDevice complexity

Solution Approach 1:

The automated order prediction system is segmented into distinct functional modules: a buyer behavior data receiver, an order prediction generator, and a transaction facilitator. This modular architecture improves transaction efficiency while managing system complexity by allowing independent development, testing, and maintenance of each component.

Inventive Principle:

Principle #1Segmentation

Data Source

PatentUS12475499B2Automatic order generation using trained model

Publication Date: 2025.11.18 BLOCK INC

AI summary

A service provider system may store buyer information and merchant information related to past purchasing history of one or more buyers. In some examples, based in part on the buyer information and/or the merchant information the service provider system may identify items that the buyer regularly or habitually purchases. In some cases, the service provider system may pre-order or pre-purchase the items on behalf of the buyer and send a message to a device associated with the buyer to inform the buyer that an order for the regularly purchased item has been placed.