Centralized Customizable Operating Solution for Restaurant Menu Personalization
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Solution Overview
Problem
Current point of sales (POS) and customer relation management (CRM) systems in the hospitality and restaurant industry are inflexible, limiting customers' ability to customize menu items based on personal health, lifestyle, and dietary preferences, and do not allow for seamless sharing of customer wishes and concerns across different establishments.
Innovation Solution
A cloud-based Centralized Customizable Operating Solution (CCOS) that enables customers to customize menu items for personal health and lifestyle choices, including calorie, nutrition, budget, and dietary concerns, through a subscription-based service accessible via the internet, allowing for personalized menu creation and sharing across participating restaurants, with features like online ordering and home cooking instructions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing POS and CRM systems are used, then businesses can operate with pre-composed menu items, but customers cannot customize menu items based on personal health, lifestyle, and dietary preferences
Solution Approach 1:
The system segments menu items into modular components (base items, ingredients, modifiers, substitutions) that can be independently selected and combined. This allows customers to build customized menu items by choosing from discrete elements rather than being limited to pre-composed options, directly enabling personalization based on dietary preferences and health requirements.
Solution Approach 2:
The system dynamically adapts to customer needs by allowing real-time customization of menu items during the ordering process. The menu structure is not static but can be modified on-the-fly to accommodate various dietary restrictions, ingredient preferences, and portion size requirements, making the system flexible rather than rigid.
2Loss of information
If pre-composed menu items are provided, then operations are simplified, but customers cannot share their wishes and preferences across different establishments
Solution Approach 1:
The system merges customer profile data, preference information, and order history into a centralized cloud-based database that is accessible across multiple restaurant establishments. This allows customers to create their preferences once and have them automatically available at any participating location, eliminating the need to repeat information at each establishment.
Solution Approach 2:
The centralized system serves multiple functions simultaneously: it stores customer preferences, enables customization across different menu types, facilitates order placement, and shares information across multiple establishments. This multi-functional platform replaces the need for separate systems at each location.
3Ease of operation
If comprehensive menu customization is enabled, then customer satisfaction increases, but operational complexity increases
Solution Approach 1:
The system enables customers to serve themselves by allowing them to independently customize their own menu items through an intuitive interface. Customers can select ingredients, modify portions, apply dietary filters, and finalize their orders without requiring extensive staff intervention or specialized knowledge, thus simplifying the customer side of operations.
Solution Approach 2:
The system provides automated feedback to the kitchen and ordering system when a customized menu item is placed. The customization details are automatically transmitted to the preparation area, eliminating manual communication errors and reducing the complexity of coordinating custom orders with kitchen operations.
Data Source
AI summary
Systems and methods for implementing a centralized customizable operating solution. The system comprises: a central server module that is in communication with a plurality of input modules and a plurality of execution modules, wherein each input module is configured to accept inputs from a user relating to customized operations associated with the user; wherein the central server module is configured to: generate corresponding outputs based on the accepted inputs; and transmit each output to a relevant execution module for execution of the output.