Real-Time Analytics Engine for Online Service Provider Integration
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Solution Overview
Problem
Existing third-party services provide limited real-time and intelligent information about retail providers to middleware services, hindering consumers' ability to make informed decisions during the ordering process.
Innovation Solution
A system and method for real-time integration of analytics that gather and process metrics from multiple providers, including wait times, order queues, and promotions, to deliver actionable insights to consumers through the online ordering process, enhancing the decision-making experience.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If existing third-party services are used to integrate retail providers, then basic interface integration is achieved, but real-time and intelligent information about providers is insufficient
Solution Approach 1:
The patent introduces an analytics engine as an intermediary component between the online service and retail providers. This engine collects, processes, and analyzes metrics from multiple providers, then delivers intelligent insights to the online service. The intermediary handles the complexity of data aggregation and analysis, allowing the online service to access comprehensive real-time information without directly managing the complex analytics infrastructure.
Solution Approach 2:
The analytics engine operates autonomously to collect metrics from providers, process the data, and generate intelligent information. The system self-manages the complex tasks of data gathering, analysis, and delivery without requiring manual intervention, thereby reducing the operational burden on the online service while providing comprehensive real-time provider information.
2Ease of operation
If detailed real-time analytics are provided to all providers, then consumer decision-making is improved, but information processing complexity increases
Solution Approach 1:
The analytics engine segments the information processing by creating separate analytics profiles for different provider types and categories. It divides the comprehensive data set into manageable segments based on provider characteristics, allowing the system to handle complex analytics through organized segmentation. This enables detailed real-time analytics to be delivered in structured, digestible formats to consumers.
Solution Approach 2:
The system implements selective analytics delivery by providing different levels of detailed information based on consumer needs and context. Rather than overwhelming consumers with all possible data, the analytics engine delivers the appropriate level of detail - providing comprehensive information when needed but simplifying presentations when basic information suffices, thereby managing complexity while maintaining ease of use.
Data Source
AI summary
A provider-based platform analytics engine provides real-time analytics to online services for providers. The analytics are integrated into customer-facing interfaces of the online services for providing meaningful real-time information and recommendations to consumers during customer order processing.