Guide Robot Personalization via Workstation Data Abstraction
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Solution Overview
Problem
Current shopping guide robots lack the ability to record interactions with customers, preventing personalized shopping experiences and customized service on subsequent visits.
Innovation Solution
A shopping system comprising a guide robot and a workstation computer that abstracts personal characteristics information, sends it to a remote computer, and retrieves customized messages based on customer data stored in a database, enabling personalized interactions and updates during subsequent visits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a guide robot provides basic shopping guidance, then customers receive shopping assistance, but the robot cannot provide personalized service or remember customer preferences on subsequent visits
Solution Approach 1:
The system performs preliminary actions by capturing and storing customer characteristic information (such as images, voice patterns, or personal details) during the first interaction. This information is saved in a database before the customer's next visit, enabling the robot to recognize and provide personalized service without requiring the customer to re-input information.
Solution Approach 2:
The system implements feedback by continuously updating the customer database with new interaction records, preferences, and purchasing behavior. Each customer interaction provides feedback that refines the personalization accuracy, allowing the robot to improve its service quality over time based on accumulated data about customer preferences and habits.
2Adaptability or versatility
If the robot captures and stores customer information, then personalized service becomes possible, but system complexity increases
Solution Approach 1:
The patent introduces a workstation computer as an intermediary device that handles the complex tasks of storing, managing, and processing customer information databases. This separates the data management complexity from the guide robot itself, allowing the robot to focus on customer interaction while the workstation manages the informational infrastructure through network communication.
Solution Approach 2:
The system employs universal identification methods such as image recognition, voice pattern matching, or personal identifier verification that can work across different customers and interaction scenarios. This multi-functional approach allows a single recognition system to handle various types of customer identification without requiring multiple specialized systems.
3Ease of operation
If the robot provides detailed shopping guidance, then customer service quality improves, but interaction time increases
Solution Approach 1:
The system performs preliminary actions by pre-loading customer-specific information such as preferred product categories, past purchase history, and stated preferences from the database. This allows the robot to immediately provide relevant, personalized shopping guidance without requiring lengthy conversations to gather basic customer information during each interaction.
Solution Approach 2:
The system dynamically adjusts the depth and focus of shopping guidance based on the customer's real-time needs, preferences, and behavior patterns stored in the database. Rather than providing the same fixed level of detail to every customer, the robot adapts its communication style and information depth to match individual customer preferences, optimizing interaction efficiency.
Data Source
AI summary
An intelligent shopping guiding system comprising a guide robot and a workstation computer is disclosed. The guide robot is coupled to the workstation computer, preferably over a wireless system and information between the guide robot and the workstation computer is transferred via wireless communication. As the front-end equipment of the shopping guiding system, the guide robot interacts with the customer and provides assistance and guidance to the customer to enhance their shopping experience. As the back-end equipment of the shopping guiding system, the workstation computer builds, stores, and maintains a customized message associated with a customer's unique ID number. The unique ID number is associated with the customer's personal characteristics such as, for example, biometric information, physiological, or other information suitable for identifying the customer.