Electronic Menu System Personalization via Customer Data Analysis
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Solution Overview
Problem
The hospitality industry faces challenges in efficiently managing electronic menus, as existing systems lack the ability to provide customizable and dynamic menu options based on customer preferences and purchasing history, leading to suboptimal customer experiences and operational inefficiencies.
Innovation Solution
A system comprising a computer server and electronic ordering devices that generate and display digitized menus based on customer purchasing information, allowing for customization of menu items, pricing, and integration of rewards programs, enabling personalized offerings and real-time updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional printed menus are used, then menu changes require reprinting costs and time, but electronic menus enable quick and easy updates without printing costs
Solution Approach 1:
The patent uses electronic copies of menus displayed on digital devices instead of physical printed menus. The system stores menu data digitally and transmits it to customer devices, allowing instant updates without reprinting. This copying approach eliminates the need for physical menu production while enabling rapid content changes.
Solution Approach 2:
The patent replaces the mechanical printing and distribution system with an electronic data transmission system. Instead of physically printing and distributing new menus, the system uses digital communication to update menu content on customer devices, substituting mechanical processes with electronic ones for faster, cost-free updates.
2Adaptability or versatility
If standardized menus are provided to all customers, then system simplicity is maintained, but customer personalization and satisfaction are reduced
Solution Approach 1:
The patent implements local quality by providing customized menu content to different customers based on their individual characteristics. The system analyzes customer data such as purchase history, preferences, and demographics to generate personalized menu recommendations for each customer, rather than providing identical menus to everyone. This targeted personalization enhances customer experience while managing complexity through automated algorithms.
Solution Approach 2:
The patent changes menu parameters dynamically based on customer attributes and behavior data. The system adjusts menu content, item recommendations, pricing displays, and promotional offers according to varying customer parameters, enabling flexible customization without requiring completely different menu systems for each customer segment.
3Measurement precision
If comprehensive customer data is collected for personalization, then menu recommendations are more accurate, but customer privacy concerns increase
Solution Approach 1:
The patent introduces an intermediary layer between data collection and personalization implementation. The system uses automated algorithms and analytics engines that process customer data through multiple transformation stages, converting raw data into anonymized preference profiles. This intermediary processing reduces direct exposure of sensitive information while maintaining personalization accuracy through aggregated pattern recognition.
Data Source
AI summary
Methods and apparatus for providing configurable menus to customers are disclosed herein. In one embodiment, a computer server communicates with electronic ordering devices operated by customers, and the computer server receives purchasing information from one or more customers sent by respective ones of the electronic ordering devices. The computer server generates a first digitized menu for at least one of the customers based on the purchasing information, and sends the first digitized menu to the at least one electronic ordering device for display on the at least one electronic ordering device.