XR Navigation Paths for Meal Plan Ingredient Location
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Solution Overview
Problem
Users face challenges in efficiently planning and navigating to purchase ingredients for meal plans, particularly when multiple stores are needed, due to time-consuming research, ingredient substitutions, and difficulty locating items in physical retail stores.
Innovation Solution
An extended reality (XR) device provides navigation paths by determining a meal plan and list of ingredients based on user inputs, offering in-store audio-visual cues to direct users to the necessary items across multiple stores, utilizing deep learning accelerators for efficient processing and recommending substitutions and additional meals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually plan meals and research ingredients across multiple stores, then they can customize their meal plans, but the process becomes time-consuming and inefficient
Solution Approach 1:
The system performs preliminary actions by pre-determining meal plans, ingredient lists, and store locations before the user needs to shop. The AI algorithm automatically generates optimized meal plans based on user preferences and calculates the best store routes and navigation paths in advance, eliminating the need for users to manually research and plan during shopping time.
Solution Approach 2:
The patent introduces an intermediary AI-based meal planning system that acts as a mediator between the user's dietary needs and the physical shopping process. This intermediary automatically handles the complex tasks of ingredient substitution, store location identification, and navigation path generation, freeing users from manual planning while maintaining customized meal options.
2Adaptability or versatility
If users visit multiple physical retail stores to purchase all needed ingredients, then they can access a wider variety of items, but the shopping process becomes more complex and time-consuming
Solution Approach 1:
The system introduces an intermediary AI assistant that manages the complexity of multi-store shopping. It automatically determines which stores carry needed ingredients, creates optimized routes between stores, and provides turn-by-turn navigation instructions, thereby simplifying the shopping process while maintaining access to a wide variety of items across multiple locations.
Solution Approach 2:
The patent replaces the mechanical process of manually navigating through multiple stores with an automated digital navigation system. The AI system substitutes manual store routing and location-finding efforts with algorithmic optimization and augmented reality navigation cues, reducing the cognitive and physical complexity of shopping across multiple locations.
3Measurement precision
If users manually locate items within physical stores, then they can ensure correct item selection, but the process is inefficient and time-consuming
Solution Approach 1:
The system replaces the mechanical process of physically searching through store aisles with an automated navigation system that uses augmented reality overlays and turn-by-turn digital instructions. This substitution maintains precise item location guidance while eliminating the time-consuming manual search process, directing users directly to the correct items through enhanced reality cues.
Solution Approach 2:
The patent introduces an intermediary navigation system that acts as a mediator between the user and the physical store environment. This intermediary provides real-time directional guidance and item location information, ensuring accurate item selection while significantly reducing the time needed to locate products by automating the search and navigation process.
4Adaptability or versatility
If users spend time researching and considering ingredient substitutions, then they can optimize their meal plans, but the overall process becomes less efficient
Solution Approach 1:
The system performs preliminary analysis by pre-calculating ingredient substitutions and optimizing meal plans before the user needs to shop. The AI algorithm automatically evaluates alternative ingredients, checks availability at selected stores, and determines the most efficient substitution options in advance, eliminating the need for users to manually research and consider alternatives during the shopping process.
Solution Approach 2:
The patent introduces an intermediary AI planning system that handles the complex analysis of ingredient substitutions as a mediator between user preferences and final meal selections. This intermediary automatically evaluates substitution options, checks inventory availability, and optimizes the meal plan to maintain nutritional balance and dietary requirements while significantly improving planning efficiency.
Data Source
AI summary
In some implementations, an extended reality (XR) device may receive, via an interface of the XR device, an input associated with meals of a user associated with the XR device. The XR device may determine, based on the input, a meal plan for the user of the XR device, wherein the meal plan is associated with target meals. The XR device may determine, based on recipes for the target meals, a list of food items for preparing the target meals associated with the meal plan. The XR device may provide, via the interface, the list of food items and the target meals. The XR device may provide, via the interface, an in-store navigation path to direct the user of the XR device via overlayed audio-visual cues to locations within a physical retail store to pick up the food items.