Demand Forecasting via Search and Review Analysis
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Solution Overview
Problem
Conventional information processing systems cannot identify the reasons behind increased sales of products, making it difficult for order managers to determine if demand will continue to rise, especially for products promoted on TV or locally, leading to insufficient information for adjusting order quantities.
Innovation Solution
An information processing apparatus that forecasts demand by comparing current sales data with past sales, acquiring search data from various information sources, and calculating the proportion of positive reviews to determine if wide or local demand for a product is expected, thereby providing actionable insights for order management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional information processing systems are used to track sales data, then sales information can be recorded, but the reasons behind sales increases cannot be identified
Solution Approach 1:
The patent combines multiple information sources (TV program data, guide site data, news site data, and sales data) into a unified analysis system. The information processing apparatus integrates these diverse data types to comprehensively identify the reasons behind sales increases, resolving the information completeness issue without requiring separate complex systems for each data source.
Solution Approach 2:
The information processing apparatus performs multiple functions: it tracks sales data, monitors information sources, identifies promotional impacts, and determines demand trends. This multi-functional system replaces multiple specialized systems, achieving comprehensive information analysis while managing complexity through a single integrated platform.
2Measurement precision
If more information sources are monitored to identify demand reasons, then prediction accuracy improves, but information processing complexity increases
Solution Approach 1:
The patent segments the information analysis process into distinct modules: TV program impact analysis, guide site mention detection, news site coverage monitoring, and sales data correlation. Each module processes specific data types independently, then results are integrated to achieve accurate demand prediction while keeping individual processing tasks manageable.
Solution Approach 2:
The information processing apparatus acts as an intermediary that collects, standardizes, and correlates data from multiple heterogeneous information sources. It transforms diverse data formats into a unified analysis framework, enabling accurate predictions without requiring direct complex interactions between all information sources.
3Measurement precision
If detailed analysis of multiple information sources is performed, then demand prediction accuracy improves, but processing time increases
Solution Approach 1:
The system performs preliminary processing of information sources by pre-collecting and organizing TV program schedules, guide site content, and news articles before sales analysis is needed. This advance preparation allows the apparatus to quickly correlate pre-processed information with sales data when demand prediction is required, reducing real-time processing time while maintaining accuracy.
Data Source
AI summary
According to an embodiment, an information processing apparatus detects a product whose number of sales tends to increase in a wide area. The information processing apparatus acquires the number of searches of the product from a preset first information source. The information processing apparatus calculates a proportion of positive reviews about the product from reviews posted to the first information source. In addition, the information processing apparatus determines whether wide demand for the product can be expected on the basis of the acquired number of searches and the calculated proportion of the positive reviews.