Develops a model based on the behaviour and reactions of consumers towards previous product problems
Fujitsu and Fujitsu Chubu Systems together have released QRMining, a software package for manufacturers of consumer products such as automobiles and electronics, which analyses and predicts in advance major product issues.
The new software detects early warning signs of major problems with a company’s commercially available products and quickly implements countermeasures, by enabling the integrated monitoring and analysis of various data sources.
QRMining extracts details of complaints from text-based malfunction-related data by employing text mining technology from Fujitsu Laboratories.
To discover the hidden causal relationships and to detect early signs of abnormality, the software utilises complex sequential analysis technology that performs multifaceted analysis of a wide variety of data.
The technology performs the following three steps in performing a comprehensive analysis of the relationships between complaint information and event information: utilises text mining technology to extract the content of complaints from the descriptive text portion of claims data; leverages machine learning technology to compile and simulate the features and changes in complaint information that serve as warning signs of events occurring; and predicts future events by running recent complaints through a forecast model that has automatically learned from past events.
The software develops a model based on the behaviour and reactions of consumers towards previous product problems and then it utilises this model to forecast changes in and the course of future consumer reactions.
In addition, QRMining performs an analysis from three perspectives: "Product quality," which predicts risks arising from product malfunctions; "Market quality," which predicts risks arising from consumer overreaction; and "Company quality," which predicts important factors that have the potential to tarnish a company’s brand.