Dynamic Supply Positioning for On-Demand Services
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Solution Overview
Problem
Existing systems fail to efficiently identify and address under-served or over-served areas in real-time for on-demand services like transportation and delivery, leading to inefficiencies and increased wait times for users.
Innovation Solution
A system that determines the ratio of requesters to service providers in geographic sub-regions, providing real-time and forecasted information to service providers to optimize their positioning and resource allocation, using visualizations on computing devices to distinguish under-served and over-served areas.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If service providers use static positioning strategies, then device complexity is reduced, but wait times for users increase and service efficiency decreases
Solution Approach 1:
The patent implements dynamic supply positioning that continuously adjusts service provider positioning based on real-time demand patterns, geographic sub-region analysis, and predictive modeling. This transforms static positioning into a dynamic system that adapts to changing conditions, thereby improving service efficiency without requiring complex manual intervention at each provider device
Solution Approach 2:
The system incorporates real-time feedback loops that monitor service demand, provider availability, and wait times across geographic sub-regions. This feedback drives automated repositioning decisions, allowing the system to maintain high efficiency through data-driven adjustments rather than complex decentralized decision-making at provider devices
2Loss of time
If real-time positioning information is provided to service providers, then wait times for users are reduced, but information processing requirements and system complexity increase
Solution Approach 1:
The patent introduces a centralized positioning information system that acts as an intermediary between demand data and service providers. This mediator processes complex analytics, predictive modeling, and geographic sub-region calculations centrally, then delivers simplified actionable guidance to providers, reducing the information processing burden at provider devices while maintaining real-time responsiveness
Solution Approach 2:
The system replaces manual positioning decisions with automated computational algorithms that analyze demand patterns, geographic data, and predictive models. This substitution of mechanical human decision-making with automated systems reduces real-time processing requirements at provider devices while improving responsiveness and reducing wait times
3Productivity
If service providers manually identify under-served areas, then system complexity is minimized, but service distribution efficiency and business optimization decrease
Solution Approach 1:
The patent implements predictive modeling that identifies future under-served areas and demand patterns before they fully materialize. This preliminary analysis allows service providers to proactively position themselves in high-demand areas before competition intensifies, improving service distribution efficiency through advance planning rather than reactive manual adjustments
Solution Approach 2:
The system dynamically changes key parameters including geographic sub-region definitions, demand threshold ratios, and positioning recommendations based on real-time data analysis. These parameter adjustments enable automated optimization of service distribution without requiring complex manual analysis at provider devices, as the system automatically recalibrates its parameters to changing conditions
Data Source
AI summary
A method for providing on-demand service information is provided. One or more processors determine, for a given geographic region, position information for each of a plurality of requesters for an on-demand service and position information for each of a plurality of service providers that can provide the on-demand service. A plurality of sub-regions is identified for the given geographic region. Based, at least in part, on the position information of the requesters and the service providers, one or more sub-regions are determined as being under-supplied by the plurality of service providers as compared to one or more other sub-regions. Information identifying the under-supplied sub-regions are provided to one or more service provider devices.