Promotion Event Detection System for Retail Sales Data
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for analyzing promotional events in retail are inefficient, time-consuming, and costly, leading to delayed identification of successful promotions and inaccurate data alignment across retailers, which results in suboptimal sales predictions and increased waste due to excess or insufficient product inventory.
Innovation Solution
The implementation of a system that automatically detects and analyzes promotional events using data cleansing, event detection, and data enrichment techniques to align sales data, unify promotion detection across markets, and provide centralized processing of promotion-related information, enabling timely and accurate analysis of consumer response and promotion effectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual methods are used to analyze promotional events, then detailed analysis can be performed, but the process becomes time-consuming and inefficient
Solution Approach 1:
The patent replaces manual mechanical analysis methods with automated computer-based systems that use algorithms to detect promotional events, align sales data, and generate insights automatically, thereby eliminating the time-consuming nature of manual analysis while maintaining analytical depth
Solution Approach 2:
The patent introduces an automated promotion detection system as an intermediary between raw sales data and business insights, using computational algorithms to bridge the gap and accelerate the analysis process without requiring manual intervention at each step
2Adaptability or versatility
If data is collected from multiple retailers with different reporting periods, then comprehensive market coverage is achieved, but data alignment becomes inaccurate
Solution Approach 1:
The patent applies preliminary data cleansing and alignment procedures before promotional event detection, standardizing data from different retailers' reporting periods to a common reference frame in advance, which ensures accurate alignment while maintaining comprehensive market coverage
Solution Approach 2:
The patent transforms data from different retailers by changing temporal parameters (reporting periods) to a unified reference system, allowing comprehensive market data aggregation while maintaining precision through parameter standardization
3Speed
If promotional events are detected quickly, then timely decision-making is enabled, but analysis accuracy may be compromised
Solution Approach 1:
The patent implements continuous automated processing that operates without interruption, maintaining both high speed and accuracy by keeping the detection system continuously active with optimized algorithms that deliver immediate yet precise results
Solution Approach 2:
The patent replaces slow manual verification processes with automated computational validation that instantly verifies detection accuracy, enabling fast detection without compromising precision through algorithmic rigor
4Measurement precision
If comprehensive data processing is performed, then accurate insights are generated, but resource consumption increases
Solution Approach 1:
The patent extracts and processes only the essential data elements required for promotion detection and analysis, filtering out redundant information to maintain insight accuracy while minimizing computational resource consumption through selective data processing
Data Source
AI summary
Systems, apparatus, articles of manufacture, and methods are disclosed to detect promotion events. An apparatus includes interface circuitry to obtain aligned sales data corresponding to products, the products corresponding to a market and a category; computer readable instructions; and programmable circuitry to instantiate event detection circuitry to: identify product-level promotions based on the aligned sales data and corresponding baseline data for the products; and group ones of the product-level promotions to identify promotion events; and expansion circuitry to determine uplift factors for different promotion characteristics based on the market and the category; and apply the uplift factors to the product-level promotions and the promotion events to identify incremental sales.


