POS Bot Local Processing for Real-Time Assistance
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Solution Overview
Problem
Current automated assistance modules are generic, cloud-based, and often delayed in responding due to server load, providing only general assistance that is not specific to the user's context or situation, necessitating frequent server upgrades to accommodate growing user loads.
Innovation Solution
A Point-Of-Sale (POS) automated bot system that resides on the POS terminal, providing real-time contextual assistance by interacting with transaction software and peripherals, using voice recognition, and accessing external services for personalized interaction, allowing for customization based on user profiles and location-specific lexicons, enabling faster and more relevant assistance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If cloud-based assistance modules are used for ease of administration and updates, then ease of operation is improved, but response time deteriorates due to server load
Solution Approach 1:
The patent segments the assistance module into two parts: a lightweight client-side bot that runs locally on the POS terminal for immediate response, and a cloud-based server for administrative updates and non-critical functions. This segmentation allows critical transaction assistance to be provided locally without server delays while maintaining ease of centralized management.
2Ease of operation
If cloud-based assistance modules are used, then ease of administration is improved, but assistance relevance deteriorates due to lack of contextual awareness
Solution Approach 1:
The patent implements local quality by enabling the client-side bot to access and process transaction-specific data, user profiles, and contextual information locally on the POS terminal. This allows the bot to provide highly relevant, context-aware assistance tailored to the specific transaction and user situation, while the server handles general updates.
3Productivity
If more servers are added to accommodate growing user load, then productivity is improved, but device complexity and cost increase
Solution Approach 1:
The patent implements self-service by deploying intelligent bots on individual POS terminals that independently handle assistance requests locally. This eliminates the need for additional servers to handle increased user loads, as each terminal becomes self-sufficient in providing assistance, thereby maintaining productivity without increasing server infrastructure complexity.
Data Source
AI summary
An automated bot is customized for a Point-Of-Sale (POS) terminal and processed on the POS terminal. The bat has access to and can control peripheral devices of the POS terminal. The bat providing transactional and, in some embodiments, non-transactional assistance to a user operating the POS terminal.