Consumer Products — Document Retrieval and Indexing Optimization Pipeline

Overview

The purpose of this DAG is to enhance document search capabilities within the Consumer Products industry by extracting and indexing documents from various sources, including ERP and CRM systems. The architecture comprises an ingestion pipeline that collects documents, normalizes them for consistency, and indexes them for efficient semantic search. The processing steps begin with data extraction, where documents are gathered from ERP transaction logs and CRM customer interaction records. Next, th

The purpose of this DAG is to enhance document search capabilities within the Consumer Products industry by extracting and indexing documents from various sources, including ERP and CRM systems. The architecture comprises an ingestion pipeline that collects documents, normalizes them for consistency, and indexes them for efficient semantic search. The processing steps begin with data extraction, where documents are gathered from ERP transaction logs and CRM customer interaction records. Next, the normalization process ensures that all documents adhere to a standard format, which is crucial for effective indexing. Quality control measures are implemented to validate data compliance, and role-based access control (RBAC) is enforced to secure sensitive information. Once processed, the indexed documents are made available through a unified portal, enabling users to perform quick and relevant searches. Monitoring key performance indicators (KPIs) such as search response time and user engagement metrics helps assess the effectiveness of the pipeline. The business value lies in reducing the time spent on document retrieval, improving decision-making processes, and enhancing overall operational efficiency in the Consumer Products sector.

Part of the Literature Review solution for the Consumer Products industry.

Use cases

• Reduces document retrieval time, enhancing productivity
• Improves decision-making with quick access to relevant information
• Increases data compliance and security through RBAC
• Enhances user satisfaction with efficient search capabilities
• Facilitates better collaboration across departments