Retail — Document Data Extraction for Retail

Overview

The primary purpose of the retail_km6_idp_extraction_documents DAG is to leverage Intelligent Document Processing (IDP) technology to extract critical data from diverse documents, including invoices and contracts, within the retail sector. The data ingestion pipeline begins with the collection of documents from multiple sources, such as email attachments, scanned paper documents, and digital files stored in cloud services. Each document undergoes a series of processing steps where optical charac

The primary purpose of the retail_km6_idp_extraction_documents DAG is to leverage Intelligent Document Processing (IDP) technology to extract critical data from diverse documents, including invoices and contracts, within the retail sector. The data ingestion pipeline begins with the collection of documents from multiple sources, such as email attachments, scanned paper documents, and digital files stored in cloud services. Each document undergoes a series of processing steps where optical character recognition (OCR) is applied to convert images into machine-readable text. The extracted data is then validated against predefined rules to ensure accuracy and compliance with retail standards. This validation process includes checks for data completeness, format correctness, and adherence to regulatory requirements. Once validated, the data is transformed into a structured format and integrated into a centralized data warehouse, making it readily available for downstream analytics and reporting. Monitoring mechanisms are established to track key performance indicators (KPIs), such as extraction accuracy rates, processing times, and anomaly detection alerts. These alerts notify stakeholders of any discrepancies during the extraction process, enabling timely interventions. The business value of this DAG lies in its ability to streamline document processing, reduce manual errors, and enhance data accessibility, ultimately supporting informed decision-making and operational efficiency in the retail industry.

Part of the Data & Model Catalog solution for the Retail industry.

Use cases

• Reduces manual data entry errors and processing time
• Enhances compliance with industry regulations and standards
• Improves data accessibility for analytics and reporting
• Streamlines document management processes in retail
• Facilitates better decision-making through accurate data insights