Agent Robot Shopping Control for Price Comparison Across Storefronts
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Solution Overview
Problem
Users face difficulties in finding the optimal shop, either physical or online, to purchase 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, especially for elderly individuals and those without computer literacy.
Innovation Solution
An agent robot control system that acquires a purchase master list and generates a purchase execution list recommending purchases in physical shops for some products and online shops for others, using a server and agent robot to facilitate optimal shopping by comparing prices and delivery dates, and autonomously moving to physical shops or processing online purchases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If users manually search for products across multiple shops to find the lowest price, then they can potentially save money, but they spend excessive time and labor
Solution Approach 1:
The robot autonomously performs price comparison and shopping tasks without requiring user intervention. It independently searches multiple shops, compares prices, and executes purchases, allowing users to benefit from optimized pricing without investing their own time in the search process
Solution Approach 2:
The robot acts as an intermediary between the user and multiple shops. It collects price information from various physical and online shops, processes this information, and presents optimized shopping recommendations to the user, eliminating the need for users to directly contact and compare multiple shops themselves
2Loss of information
If users comprehensively research multiple shopping options to find the optimum purchase method, then they can make better purchasing decisions, but they incur increased labor and time expenditure
Solution Approach 1:
The robot independently performs comprehensive research across multiple shopping channels, comparing prices, availability, and delivery terms. Users simply provide their shopping list, and the robot handles all information gathering and analysis, making the process effortless while maintaining complete information coverage
Solution Approach 2:
The robot is designed to handle multiple types of shopping information simultaneously - physical shop prices, online shop prices, delivery dates, and availability. It integrates these diverse information sources into a single comprehensive recommendation, eliminating the need for users to separately research each channel
3Reliability
If the system provides detailed shopping recommendations across multiple channels, then purchasing optimization improves, but system complexity increases
Solution Approach 1:
The system is divided into distinct functional modules: information collection module that gathers data from multiple shops, analysis module that compares prices and delivery terms, and recommendation module that generates optimized shopping lists. This segmentation allows complex processing to be broken down into manageable, independent components that can be developed and maintained separately
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.