As the company’s technicians repair and replace broken home appliances, they enter detailed descriptions in service call records. This information is in the form of unstructured natural language, and is hidden from normal business analytics and reporting.
Apply natural language processing and text mining techniques to identify specific product defects seen in the field. These insights are then turned into structured data which can be correlated with other manufacturing information. With the help of machine learning, the company can identify product anomalies prior to shipment.
- Data Science Experience (DSX) Local
Data Science Techniques
- NLP, Text mining, ML (Anomaly detection)
- Improvements in product quality as well as manufacturing processes
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