Retail — Product Taxonomy Update Automation for SOPs

Overview

The purpose of this DAG is to streamline the process of updating product taxonomy within Standard Operating Procedures (SOPs) by leveraging sales and return data from various sources. The data is sourced from ERP systems, which provide transaction logs, and CRM systems, which capture customer interactions and returns. The ingestion pipeline begins with the extraction of relevant data from these systems, ensuring that all necessary information is collected for accurate taxonomy updates. Followi

The purpose of this DAG is to streamline the process of updating product taxonomy within Standard Operating Procedures (SOPs) by leveraging sales and return data from various sources. The data is sourced from ERP systems, which provide transaction logs, and CRM systems, which capture customer interactions and returns. The ingestion pipeline begins with the extraction of relevant data from these systems, ensuring that all necessary information is collected for accurate taxonomy updates. Following data extraction, the next step involves processing the data to update the product taxonomy based on predefined rules and business logic. This includes categorizing products, adjusting descriptions, and ensuring that the taxonomy reflects current inventory and sales trends. Quality control measures are implemented throughout this process to validate changes and maintain data consistency. These controls include checks for data integrity, duplicate entries, and alignment with business standards. Once the taxonomy updates are validated, the results are published to a business portal, allowing stakeholders to access the updated SOPs easily. Key performance indicators (KPIs) are monitored to assess the speed of updates and the accuracy of the taxonomy, providing insights into operational efficiency. The business value of this DAG lies in its ability to ensure that product information is always current and accurate, enhancing decision-making processes and improving customer satisfaction.

Part of the SOPs & Playbooks solution for the Retail industry.

Use cases

• Increased accuracy of product information in SOPs
• Improved operational efficiency through automation
• Enhanced customer satisfaction with up-to-date product data
• Faster decision-making based on reliable data
• Reduced manual effort in taxonomy management