Unified API for Order Service Recommendations
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Solution Overview
Problem
Merchants face complexity in managing and coordinating with multiple third-party order and delivery services, vendors, and other services due to different interfaces and communication protocols, leading to inefficiencies and disruptions in their operations.
Innovation Solution
A system and environment that provide recommendations for merchants to optimize their use of third-party services through a common service provider, including order and delivery services, vendors, and other business services, using machine learning and data analysis to suggest service combinations, replacements, and throttling based on historical data and merchant preferences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If merchants manually control and coordinate information with multiple third-party services, then service coordination is possible, but operation complexity increases and simplicity is lost
Solution Approach 1:
The patent introduces an intermediary system that acts as a mediator between merchants and multiple third-party services. This intermediary handles the coordination and information exchange automatically, shielding merchants from the complexity of managing multiple service interfaces while maintaining the ability to coordinate diverse services.
Solution Approach 2:
The patent creates a universal interface system that can handle multiple third-party services through a single standardized interface. This multi-functional interface eliminates the need for merchants to manually adapt to different service protocols, reducing operational complexity while maintaining versatility in service coordination.
2Adaptability or versatility
If merchants manually interact with multiple vendor websites to place orders, then ordering capability is maintained, but time consumption increases
Solution Approach 1:
The patent merges multiple vendor ordering interfaces into a single unified interface. Instead of requiring merchants to visit multiple vendor websites separately, the system combines all ordering functions into one location, maintaining the ability to order from multiple vendors while significantly reducing the time required.
Solution Approach 2:
The patent implements preliminary action by pre-configuring vendor connections and ordering parameters in advance. Once set up, the system automatically handles subsequent ordering operations without requiring merchants to repeatedly interact with individual vendor interfaces, thus maintaining ordering capability while minimizing time consumption.
3Adaptability or versatility
If third-party services are integrated with merchant interfaces, then service functionality is enhanced, but disruption to existing merchant technologies occurs
Solution Approach 1:
The patent uses an intermediary layer that sits between third-party services and merchant existing systems. This mediator provides the enhanced service functionality while isolating the merchant's existing technologies from direct disruption, allowing functionality enhancement without compromising system stability.
4Adaptability or versatility
If merchants use multiple order and delivery services, then service options increase, but coordination difficulty increases
Solution Approach 1:
The patent creates a universal coordination interface that can manage multiple order and delivery services through a single system. This interface maintains diverse service options while automatically handling the coordination logic, making multi-service management as easy as single-service management.
Data Source
AI summary
An online order management service is configured to interface between merchants and order/delivery services so that a merchant can provide a catalog to multiple order/delivery services without having to communicate directly with the order/delivery services. A recommendation service is also provided to provide recommendations to merchants regarding which of multiple order/delivery services to use. The recommendation service bases its recommendations on historical order data that has been archived by the online order management service, as well as on known or derived merchant properties. The recommendation service may also recommend product items to be included in a catalog in order to improve sales results achieved when listing the catalog with any particular order/delivery service.