Remote Order Processing Scheduling for User Arrival Synchronization
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Solution Overview
Problem
Existing remote ordering systems do not account for travel time and preparation time, leading to issues such as food being too hot or cold upon arrival or requiring users to wait unnecessarily.
Innovation Solution
A method that uses arrival and order completion estimates to schedule order processing, ensuring completion coincides with user arrival by adjusting processing times based on GPS or other location data, and allowing for updates to these estimates as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If order processing starts immediately after remote ordering, then preparation time is minimized, but the user may arrive too early or too late relative to order completion
Solution Approach 1:
The system performs preliminary actions by calculating estimated arrival time and estimated completion time in advance, then uses these estimates to determine the optimal start time for order processing before the user actually arrives at the provider location
Solution Approach 2:
The system continuously monitors and updates both the estimated arrival time (based on user location data) and estimated completion time (based on processing status), using this feedback to dynamically adjust the order processing schedule to maintain synchronization
2Reliability
If order processing is delayed to synchronize with user arrival, then quality is maintained, but processing time increases
Solution Approach 1:
The system performs preliminary calculations of estimated arrival time and estimated completion time to determine the optimal start time for processing, allowing the system to proactively schedule processing to end at the ideal moment rather than reacting after delays occur
Solution Approach 2:
The system dynamically adjusts the order processing schedule based on real-time updates to user location data and processing status, making the processing duration flexible rather than fixed, allowing optimization of both quality and time
3Measurement precision
If real-time tracking and dynamic scheduling are implemented, then synchronization accuracy improves, but system complexity increases
Solution Approach 1:
The system uses a multi-functional approach where the same data processing system performs multiple functions: receiving order data, calculating estimated arrival time, calculating estimated completion time, monitoring updates, and determining optimal processing schedules, reducing the need for separate specialized components
Solution Approach 2:
The system automatically performs all scheduling adjustments based on updated estimates without requiring manual intervention, with the data processing system self-managing the complex calculations and timing optimizations
Data Source
AI summary
A computer-implemented method for scheduling processing of an order for goods at a provider location obtains an arrival estimate for when a user associated with the order is expected to arrive at the provider location and uses the arrival estimate to schedule processing of the order. Processing may be scheduled so that completion of order processing is expected to substantially coincide with arrival of the user at the provider location. The method may also obtain an order completion estimate for when processing of the order is expected to be completed and use both the arrival estimate and the order completion estimate to schedule processing of the order. The method may update one or both of the arrival estimate and the order completion estimate. The method may be executed by a networked mobile wireless telecommunication computing device of the user, or by a data processing system associated with the provider.