Server-Based Meal Combination System for Retail Information Management
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Solution Overview
Problem
Conventional personal computing devices fail to provide a single source of information for customers in retail environments, making it difficult for retailers to manage customer service and provide relevant information about meals and meal plans as the number of services and customers increases.
Innovation Solution
A system and method that uses a server to receive information about food items, apply meal combination or meal plan rules, and transmit determined meal combinations or plans to a personal computing device for display, enhancing the customer's shopping experience and allowing retailers to manage inventory and product layouts effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If retailers increase the number of services and customers in retail shopping establishments, then the amount of services provided increases, but it becomes increasingly difficult to provide sufficient customer service and manage customer information
Solution Approach 1:
A personal computing device is introduced as an intermediary between customers and retailers. This device consolidates multiple services (shopping list management, recipe access, meal planning, product information, inventory tracking) into a single interface, making it easier to manage customer information and provide relevant information while supporting an increasing number of services without proportionally increasing management complexity
2Ease of operation
If conventional personal computing devices are used, then customers have access to basic computing functions, but they fail to provide a single source of information for customers in retail environments
Solution Approach 1:
The personal computing device is designed with multi-functionality, serving as a universal tool that combines basic computing functions with retail-specific capabilities. It integrates shopping list management, recipe viewing, meal planning, product information access, and inventory tracking into a single device, eliminating information loss by providing all relevant retail information in one place
3Adaptability or versatility
If meal combination rules are applied to multiple food items, then personalized meal suggestions can be generated, but the computational processing required increases
Solution Approach 1:
Meal combination rules are pre-configured and stored in the personal computing device before the customer needs them. The device receives information about food items and automatically applies the pre-stored rules to generate meal suggestions, reducing computational processing power requirements by performing the complex rule application in advance rather than calculating everything in real-time
Data Source
AI summary
Methods, systems, apparatus and computer-readable mediums, storing sets of instructions, provide for determining at least one meal combination including receiving, at a server, information identifying at least one food item; accessing, from a storage device, a set of meal combination rules; applying, at the server, the accessed set of meal combination rules to a plurality of food items; determining at least one meal combination; and transmitting the determined at least one meal combination from the server to a computing device for display. Alternatively, for generating a meal plan, including accessing a set of meal plan rules; applying the set of meal plan rules to a plurality of food items; determining a plurality of meal combinations; and transmitting the determined plurality of meal combinations from a server device to a computing device.