Service Supply Management via Order Density Loci
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Solution Overview
Problem
Current on-demand service management systems, such as those for taxi and limousine fleets, lack the ability to effectively monitor and manage the distribution of customers waiting for pickup, leading to inefficiencies in service delivery.
Innovation Solution
A network-based system that uses a processor, storage, and communication platform to identify under-served or over-served areas by analyzing the distribution of service requests and providers, employing cluster algorithms to mark loci based on order density and provider proximity, and delivering information to requesters and providers to optimize service allocation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If traditional onboard metering devices and radios are used for dispatch, then service providers can be contacted, but the system cannot monitor or manage the distribution of customers waiting for pickup
Solution Approach 1:
The patent introduces a third-party information service provider as an intermediary that collects, processes, and analyzes customer distribution data. This mediator aggregates information from multiple sources (order systems, GPS devices, customer feedback) and presents processed insights to service providers, enabling monitoring of customer distribution without requiring complex direct monitoring infrastructure at every service point
Solution Approach 2:
The information service provider performs multiple functions: data collection from various sources, data processing and cleaning, spatial analysis using GIS tools, pattern recognition, and information delivery to service providers. This multi-functional approach consolidates what would otherwise require separate systems into a single comprehensive platform
2Productivity
If service providers operate independently without real-time information, then operational simplicity is maintained, but service efficiency and demand-supply matching deteriorate
Solution Approach 1:
The system performs preliminary analysis of customer distribution patterns and service demand forecasts before service providers need to respond. By analyzing historical data and current trends in advance, the system generates actionable insights about where customers are likely to be, allowing providers to proactively position themselves rather than reacting after demand arises
Solution Approach 2:
The patent implements continuous feedback loops where service provider locations, service completion data, and customer feedback are constantly monitored and fed back into the information system. This real-time feedback enables dynamic updates of service quality metrics and demand-supply balance analyses, allowing the system to adapt to changing conditions and improve response times
Data Source
AI summary
Disclosed herein are a system and a method for managing supply of service. The system may include at least one processor that performs the operations including receiving a plurality of orders for a service; marking a locus based on the plurality of orders, the marked locus relating to a first number of orders of the plurality of orders, the first number of orders sharing a first characteristic, and the marked locus relating to a first location; and identifying at least one provider of the service to whom information relating to the marked locus is to be delivered.