Agent Robot Purchase Control for Physical and Online Shop Selection
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Solution Overview
Problem
Users face difficulties in finding the optimal shop between physical and online retailers for purchasing necessary products at the lowest price, as existing technologies do not provide recommendations for where to buy specific products, leading to increased labor and time expenditure.
Innovation Solution
An agent robot control system that acquires a purchase master list and generates a purchase execution list recommending purchases in either physical or online shops based on price comparisons and delivery dates, with the system capable of autonomously moving to physical shops and processing online purchases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If users manually search for products across multiple shops to find the lowest price, then they can find optimal purchase options, but this requires significant labor and time expenditure
Solution Approach 1:
The system performs automatic price comparisons and shop recommendations without requiring user intervention. The robot autonomously searches multiple shops, compares prices, and generates purchase execution lists, allowing the system to serve itself rather than requiring manual user research
Solution Approach 2:
The patent replaces manual mechanical search processes with automated information processing. The robot uses communication sections to automatically access shop databases, compare prices, and generate recommendations, substituting human manual search efforts with automated computational processes
2Loss of information
If users research multiple shopping options comprehensively to find the best deal, then they can make informed purchase decisions, but this increases labor requirements
Solution Approach 1:
The robot performs multiple functions including price comparison, shop recommendation, purchase execution, and product delivery. A single system handles all aspects of the shopping process, from information gathering to actual purchase and delivery, eliminating the need for users to perform separate research tasks
Solution Approach 2:
The robot acts as an intermediary between the user and multiple shops. It automatically communicates with various shop databases, compares their offerings, and presents consolidated recommendations to the user, simplifying the information processing burden
3Adaptability or versatility
If the system recommends purchases across both physical and online shops, then it provides comprehensive shopping optimization, but this increases system complexity
Solution Approach 1:
The system segments shopping recommendations by channel type (physical shop vs. online shop) based on product characteristics. Different purchase channels are handled through distinct processing paths in the purchase execution list, allowing versatile channel selection while maintaining manageable system structure through modular organization
Data Source
AI summary
Provided is an agent robot control system comprising an acquisition unit which acquires a purchasing master list which shows a user's purchase merchandise candidates, and a control unit which generates a purchasing execution list for recommending, from the purchasing master list, purchases for select merchandise to be performed at real storefronts and for recommending purchases for other merchandise to be performed at online storefronts.