Real-Time Venue Environmental Adjustment via Cumulative User Preferences
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Solution Overview
Problem
Existing methods for enhancing customer experience at venues, such as restaurants and bars, rely on historical data and do not account for real-time preferences of customers, failing to dynamically adjust environmental conditions to meet current user interests.
Innovation Solution
A system and method that allows users to upload preferences via a blockchain-enabled platform, which compiles and submits cumulative preferences to venues, enabling real-time adjustments to environmental conditions like music, lighting, and food through a network of connected devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If venues use historical sales data to determine customer preferences, then they can establish past preferences, but they cannot capture real-time preferences of customers currently at the venue
Solution Approach 1:
The system performs preliminary actions by having customers pre-specify their preferences through the mobile application before arriving at the venue. These preferences are stored and ready to be retrieved and applied when the customer arrives, eliminating the need for real-time preference gathering and enabling immediate customization of the venue environment upon arrival.
2Adaptability or versatility
If venues manually adjust environmental conditions based on general customer preferences, then they can provide a pleasant experience, but they cannot dynamically adapt to specific real-time customer interests
Solution Approach 1:
The system implements feedback mechanisms where customer preferences are continuously collected, stored, and used to automatically adjust environmental conditions. The system receives feedback from customers about their preferences and provides feedback to the environmental control devices, creating a closed-loop system that continuously adapts to customer needs without requiring complex manual intervention.
Solution Approach 2:
The system enables self-service by allowing customers to input their own preferences through the mobile application and having the system automatically apply these preferences to the environmental controls. This eliminates the need for manual adjustment by venue staff and reduces system complexity by automating the preference management process.
3Productivity
If venues implement real-time preference collection systems, then they can dynamically adjust environmental conditions, but they increase system complexity and data management requirements
Solution Approach 1:
The system achieves universality by using a single mobile application platform that handles multiple functions: preference collection, data storage, real-time processing, and communication with various environmental control devices. This multi-functional approach consolidates complexity into a unified system rather than requiring separate systems for each function, thereby improving productivity without proportionally increasing overall system complexity.
Data Source
AI summary
A system and method for providing user-specified data to participating venues includes a system services environment having a website or App, and that facilitates communication between a user and a venue. The system includes functionality for uploading a plurality of user preferences for storage by the system environment server and/or decentralized blockchain nodes, identifying the presence of each user interface device that is physically located at or near a venue, generating a report containing the cumulative favorite selections within each preference category submitted by each of identified user interface devices, submitting the report to the venue and/or environmental devices and/or nodes, and changing the environmental conditions of the venue in real time based on the report.