Just-in-time food preparation system using GPS tracking
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Solution Overview
Problem
Quick service restaurants (QSRs) face challenges in minimizing customer wait times and preventing food waste due to the inability to dynamically adjust order preparation based on customer arrival times, leading to suboptimal food quality and potential food-borne illnesses from prolonged storage of prepared food.
Innovation Solution
A computer-based system that utilizes real-time location tracking to synchronize customer arrival with order preparation, allowing for just-in-time delivery by monitoring the customer's location and estimated time of arrival, and adjusting preparation accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If food components are precooked, premixed or prefreeze and stored in warmers to minimize customer wait time, then service speed is improved, but food quality deteriorates and food waste increases due to prolonged storage
Solution Approach 1:
The system dynamically adjusts the preparation timing of food components based on real-time customer location data and estimated arrival times. Instead of static pre-preparation, the system continuously monitors customer proximity and triggers preparation actions at optimal moments, allowing service speed improvement without compromising food quality through prolonged warmer storage.
Solution Approach 2:
The system implements a feedback loop by continuously tracking customer location via mobile device GPS and using this information to adjust food preparation timing. The kitchen receives real-time updates on customer proximity, enabling dynamic coordination between customer travel and food preparation processes, thus optimizing both service speed and food quality.
2Reliability
If food components are stored in warmers for extended periods to ensure availability, then service reliability is improved, but food safety deteriorates due to bacterial growth
Solution Approach 1:
The system performs preliminary actions by pre-ordering and pre-planning food preparation based on customer advance orders received via mobile devices. However, actual cooking and assembly are deferred until the customer is in close proximity to the restaurant, determined through GPS tracking. This allows service reliability through advance planning while minimizing food safety risks by reducing the time food spends in warmers.
Solution Approach 2:
The system dynamically determines the optimal preparation timing based on real-time customer location data. Food components are kept in storage until the system calculates that the customer is close enough to the restaurant, at which point preparation is triggered. This dynamic approach ensures food is available when needed (reliability) while minimizing the time food remains in warmers (food safety).
3Ease of operation
If the system monitors customer location in real-time to coordinate order preparation, then customer experience is improved through just-in-time delivery, but device complexity increases
Solution Approach 1:
The system leverages the customer's own mobile device, which already possesses GPS capabilities, to perform location tracking. The customer simply places an order through their mobile device, and the system automatically utilizes the device's built-in location services without requiring additional tracking hardware. This reduces system complexity while enabling real-time location monitoring for improved customer experience.
Solution Approach 2:
The system utilizes the customer's mobile device for multiple functions: order placement, payment processing, and location tracking. By making the mobile device a universal interface for all these functions, the system avoids the need for separate dedicated devices for each function, thereby reducing overall system complexity while maintaining enhanced customer experience.
4Manufacturing precision
If orders are prepared immediately upon placement to ensure freshness, then food quality is improved, but customer wait time increases when customers arrive before preparation is complete
Solution Approach 1:
The system dynamically adjusts preparation timing based on real-time customer location data. Instead of static immediate preparation or fixed schedule preparation, the system continuously monitors customer proximity and triggers food preparation at the optimal moment when the customer is close enough to the restaurant. This dynamic coordination ensures both food freshness (preparation close to service time) and minimal customer wait time.
Solution Approach 2:
The system implements a feedback mechanism where real-time customer location information from mobile devices continuously updates the preparation schedule. The kitchen receives feedback on customer proximity, allowing them to adjust preparation timing dynamically. This ensures food is prepared fresh (quality) while coordinating completion with customer arrival (minimizing wait time).
Data Source
AI summary
The disclosure relates to a computer-based system for managing just-in-time preparation and delivery of food products. In the system, customers can build, place, and pay for their order. Once the order is placed, the system will track the users location, only starting to prepare their food when the customer is within a specific proximity to the retail location. The proximity will be dynamic and expand and contract with the customer's movements. Finally, the system will coordinate the preparation, assembly and packaging of the order to provide just-in-time delivery of the customer's order, thereby reducing food waste and enhancing the freshness and taste of the product delivered to improve the customer experience.