On-Demand Service Matching Matrix for Provider-Customer Preferences
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Solution Overview
Problem
Current on-demand service systems fail to account for customer preferences and service provider limitations, leading to inefficient matching, unsatisfactory experiences, and unfair penalties, while also lacking transparency in pricing and customer-service provider relationship management.
Innovation Solution
A system that uses a matrix to match customers and service providers based on their preferences and limitations, allowing for customizable services, dynamic updates of user settings, and negotiation of prices, while facilitating favorites and blacklist lists for improved relationship management and service quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If service providers are dispatched based on proximity to customers, then service speed is improved, but service quality and customer satisfaction deteriorate
Solution Approach 1:
The patent changes the dispatch parameters from solely location-based to include multiple factors such as service quality ratings, provider availability, customer preferences, and provider limitations. This multi-parameter approach resolves the contradiction by not automatically selecting the closest provider, but rather the most suitable provider based on comprehensive criteria.
Solution Approach 2:
The system dynamically adjusts dispatch decisions based on real-time conditions including provider availability, customer preferences, and service requirements. This dynamic matching process allows the system to balance speed and quality by considering current situational factors rather than relying on static proximity-based rules.
2Productivity
If service providers are penalized for rejecting service requests, then service provider acceptance rate is improved, but provider autonomy and satisfaction deteriorate
Solution Approach 1:
The system allows service providers to autonomously manage their own availability and preferences without external coercion. Providers can set their working hours, service areas, and availability status, and the system respects these self-defined boundaries. This eliminates the need for penalties while maintaining high acceptance rates through mutual agreement and transparency.
3Reliability
If the system dispatches service requests to multiple service providers, then service request fulfillment probability is improved, but system complexity and response time deteriorate
Solution Approach 1:
The system performs preliminary filtering and ranking of service providers based on predefined criteria before dispatching requests. By pre-establishing matching algorithms and provider profiles, the system reduces the complexity of real-time decision-making while maintaining high fulfillment probabilities through intelligent pre-screening of suitable providers.
4Loss of time
If the system uses proximity-based dispatching, then response time is improved, but transparency and fairness in pricing deteriorate
Solution Approach 1:
The system implements transparent pricing through feedback mechanisms that allow customers to see price information, service quality ratings, and provider details before making selections. Pricing is made visible and understandable, with clear breakdowns of costs, allowing customers to make informed decisions while maintaining efficient response times through digital transparency.
Data Source
AI summary
The invention is related to pairing a customer with the best service provider upon a selection from the customer in on-demand transportation service. A platform in the invention provides a graphical representation of the electronic interface displaying sets of indicators that reflect transportation service relevant data corresponding to each of the available service providers and containing two or more identifications through at least a Global Positioning System (GPS) receiver. The display is corresponding to the one or more inputs provided by the customer to the two or more search parameters including a maximum number of available service providers and at least one of the following groups comprising the one or more available service providers within a time span or a distance span for arrival to a pick-up location of the customer. The sets of indicators corresponding to each of the available service providers that match the preset preferences.