Consumer Products — Product Taxonomy Extraction and Update for Recommendations

Overview

The purpose of this DAG is to streamline the extraction and updating of product taxonomy, which is crucial for delivering accurate and relevant recommendations in the consumer products industry. It ingests data from various sources, including product catalogs, customer feedback, and sales data, to build a comprehensive taxonomy framework. The ingestion pipeline begins with data collection from these sources, followed by the application of Named Entity Recognition (NER) techniques to identify key

The purpose of this DAG is to streamline the extraction and updating of product taxonomy, which is crucial for delivering accurate and relevant recommendations in the consumer products industry. It ingests data from various sources, including product catalogs, customer feedback, and sales data, to build a comprehensive taxonomy framework. The ingestion pipeline begins with data collection from these sources, followed by the application of Named Entity Recognition (NER) techniques to identify key entities, such as product categories, attributes, and relationships among them. The processing logic includes data cleansing and normalization to ensure high-quality inputs for taxonomy updates. Quality controls are implemented at each step to validate the accuracy and consistency of the extracted entities. The final outputs consist of an updated product taxonomy and enriched recommendation datasets, which are integrated into a content management system for future use. Monitoring key performance indicators (KPIs) such as recommendation accuracy, user engagement metrics, and taxonomy update frequency enables continuous improvement of the process. The business value lies in improved customer satisfaction through more relevant product recommendations, ultimately leading to increased sales and customer loyalty.

Part of the Recommendations solution for the Consumer Products industry.

Use cases

• Improves recommendation relevance, boosting customer satisfaction
• Increases sales through better-targeted marketing efforts
• Streamlines product management with up-to-date taxonomy
• Enhances competitive advantage in the consumer products market
• Supports data-driven decision-making for product development