Remote Order Processing Scheduling for Arrival-Synced Pickup
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Solution Overview
Problem
Existing remote ordering systems fail to account for travel time and preparation time differences, leading to issues of lost quality or wasted time for customers picking up orders.
Innovation Solution
A computer-implemented method that uses arrival and order completion estimates to schedule order processing so that it coincides with the user's arrival at the provider location, adjusting these estimates dynamically if necessary to ensure freshness and timeliness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If the order is processed immediately upon placement, then the 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 scheduling of order processing based on estimated arrival time. The provider system calculates when processing should begin to ensure completion coincides with user arrival, rather than simply starting immediately or at a fixed time.
Solution Approach 2:
The system continuously monitors actual arrival time against estimated arrival time and adjusts the order processing schedule accordingly. When the user is running late or early, the system updates the completion target time and modifies processing timing to maintain synchronization.
2Reliability
If the order processing is delayed to match user arrival, then quality is maintained, but the user may have to wait longer
Solution Approach 1:
The order processing schedule is made dynamic rather than static. The system continuously updates the target completion time based on real-time arrival estimates, allowing the processing timeline to adapt to changing conditions while maintaining quality through proper timing.
3Device complexity
If the system uses fixed processing times, then the scheduling is simple, but it cannot adapt to varying travel times and order complexities
Solution Approach 1:
The system performs preliminary calculations of processing time based on order characteristics (number of items, complexity) before the user arrives. This allows dynamic scheduling without requiring complex real-time adjustments during processing.
Solution Approach 2:
The system varies processing time parameters based on order characteristics such as number of items, item complexity, and provider capacity. Different item types may have different preparation times, allowing flexible scheduling that adapts to each specific order while maintaining systematic control.
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.