Dynamic Ordering System for Vehicle Consumables
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Solution Overview
Problem
Existing methods for ordering consumable goods, such as food, are inconvenient when done while driving, as they may result in food cooling or heating undesirably, and can involve waiting at the restaurant or long delivery times, which negate the benefits of pre-ordering.
Innovation Solution
A system and method for dynamic ordering of consumable goods using a vehicle equipped with a location sensor, input device, network access device, and electronic control unit (ECU) that predicts wait times and travel times to optimize when and where to place an order, ensuring the food remains at the desired temperature and minimizing overall time spent.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If food is ordered in advance for pickup, then the food can be prepared ahead of time, but the food may sit on a counter and get cold before being consumed
Solution Approach 1:
The system dynamically determines the optimal ordering time based on real-time prediction of food preparation duration and travel time. Instead of fixed advance ordering, the system adjusts the ordering moment dynamically to ensure food is ready exactly when the vehicle arrives, maintaining both preparation efficiency and food temperature quality.
2Productivity
If the order is called in to the restaurant too early, then the food can be prepared ahead of time, but the person picking up the food may have to wait at the restaurant for the food to be prepared which negates the benefits of ordering food ahead of time
Solution Approach 1:
The system uses feedback from real-time prediction algorithms that continuously monitor food preparation status and adjust ordering recommendations. This feedback loop ensures the ordering time is optimized to minimize both preparation wait time and pickup waiting time, achieving the perfect balance point.
3Ease of operation
If pre-ordering food for pickup is done while driving, then convenience is improved, but it is undesirable to place an online order while driving a vehicle
Solution Approach 1:
The system enables the vehicle's own sensors and processing units to autonomously determine optimal ordering timing and execute the order placement without requiring driver intervention. The vehicle's computer system handles the ordering process automatically based on its location and predicted travel time, eliminating the need for the driver to manually place orders while driving.
4Ease of operation
If food delivery service is used, then the user can purchase a meal from a restaurant, but there is a premium charge and the food delivery service will deliver the food
Solution Approach 1:
The system extracts the core benefit of pre-ordering (food ready at optimal time) while eliminating the unnecessary premium delivery service component. By using the vehicle's own navigation and prediction systems to determine optimal pickup timing, the system achieves convenience without the additional cost of paid delivery services.
Data Source
AI summary
A system for ordering goods via a vehicle includes a location sensor, an input device to receive a first desired consumable order from a first POS, a network access device, and an electronic control unit (ECU) coupled to the location sensor, the input device, and the output device. The ECU is designed to determine or predict a first wait time between ordering the first desired consumable order and a corresponding first desired consumable being available for pickup at the first point of sale, determine a first route time corresponding to an amount of time for the vehicle to travel from the current location of the vehicle to the first point of sale, and control the network access device to transmit the first desired consumable order to the first point of sale when the first wait time is within a predetermined amount of time of the first route time.