Omni-channel Platform Integrating Real-time Data
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Solution Overview
Problem
Conventional frontend systems collect real-time data from a single backend source, providing an incomplete view of events, as they lack comprehensive information such as statistics or contextual offers, which are essential for delivering a richer user experience.
Innovation Solution
A system and method for integrating real-time information from multiple backend systems, including APIs and social media streams, to provide a holistic view of events and offer personalized recommendations based on consumer context, using an Omni-channel platform with a context recommender that collects and processes data from various sources to deliver targeted offers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If real-time data is collected from a single backend system, then system complexity is reduced, but the completeness and richness of information provided to frontend users deteriorates
Solution Approach 1:
The patent merges multiple backend data sources (APIs, social media streams, crowdsourcing platforms) into a unified real-time data collection system. The frontend system integrates data from Twitter, Facebook, Xbox, Snapchat, Instagram, and other sources, combining them into a comprehensive view that provides complete game statistics, contextual information, and personalized offers while maintaining manageable system complexity through unified architecture.
2Loss of information
If data is collected from multiple backend systems, then information completeness is improved, but system complexity increases
Solution Approach 1:
The patent introduces intermediary components including a unified API layer, data normalization services, and a central processing platform that mediate between multiple backend sources and the frontend. These intermediaries standardize data formats, filter and validate incoming streams, and manage the complexity of integrating diverse sources, thereby maintaining information completeness while controlling system complexity.
Solution Approach 2:
The system implements a universal data collection architecture that handles multiple types of backend sources (social media, traditional APIs, crowdsourcing platforms) through a common interface and processing pipeline. This multi-functional approach allows the system to collect, process, and integrate data from varied sources using a single unified system, reducing the complexity that would arise from separate processing paths for each source type.
3Reliability
If real-time data from multiple sources is integrated, then user experience quality is improved, but data processing requirements and resource consumption increase
Solution Approach 1:
The patent applies partial action by selectively processing and integrating only the most relevant data from multiple sources based on user context, device capabilities, and current needs. Rather than processing all available data equally, the system prioritizes high-value information such as game statistics, contextual offers, and personalized recommendations, thereby improving user experience quality while reducing unnecessary resource consumption from processing redundant or low-value data streams.
Data Source
AI summary
A variety of real-time information is collected in real time from a plurality of sources/systems. A current real-time context for activity of a consumer is noted. The real-time information is integrated within the current real-time context and activity of the consumer. In an embodiment, the collected real-time information is crowdsourced from a variety of social media platforms. In an embodiment, the real-time information is integrated as a recommendation made to the consumer for a good or service.