Deal Allocation Platform for Consumer Promotion Optimization
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Solution Overview
Problem
Merchants face difficulties in selecting the appropriate promotions or deals to offer to consumers, as analyzing data from various sources to determine which promotions to offer can be complex and inefficient.
Innovation Solution
A deal allocation platform that accesses consumer and merchant data from disparate sources, joins this data into unified consumer data units, and uses partitioning functions to determine which promotions to offer, with a cost function for reallocating consumers to optimize deal presentation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If merchants manually analyze data from disparate sources to determine which promotions to offer, then they can make informed decisions, but the process becomes complex and inefficient
Solution Approach 1:
The system segments the complex data analysis task into distinct functional modules: data collection from multiple sources, data joining into consumer data units, partitioning functions to worker nodes, and result aggregation. This segmentation allows each module to handle specific aspects of the analysis independently, improving overall efficiency while managing complexity through modular design.
Solution Approach 2:
The deal allocation platform acts as an intermediary system between raw data sources and promotion decision-making. It introduces standardized consumer data units and coordinated worker nodes as intermediate structures, transforming disparate data into unified analysis results without requiring merchants to directly manage the complexity of data integration.
2Loss of information
If the system processes data from multiple disparate sources, then it can provide comprehensive consumer insights, but the data integration becomes complex
Solution Approach 1:
The system merges data from multiple disparate sources into unified consumer data units. Each consumer data unit consolidates relevant information from various sources into a standardized format, preserving complete consumer insights while eliminating the need for complex multi-source data integration at the merchant level.
3Productivity
If the platform reallocates consumers using cost function analysis, then it optimizes deal presentation, but the computational requirements increase
Solution Approach 1:
The system performs cost function analysis and consumer reallocation iteratively and selectively rather than continuously. It analyzes costs associated with reallocating consumers only when necessary to optimize deal presentation, avoiding unnecessary computational resource consumption while still achieving optimization goals through targeted partial actions.
Data Source
AI summary
A deal allocation platform is disclosed. The deal allocation platform may be configured to be used in multiple contexts, such as, for example, a batch processing context and a real-time context. Further, the deal allocation platform may be configured to reallocate users assigned to deals based on an approximation of a global optimization problem. In addition, the deal allocation platform may enable configuration of one or multiple experiments.