Defense & Aerospace — Technical Document Knowledge Extraction for Pricing Optimization

Overview

The purpose of this DAG is to optimize pricing strategies in the Defense and Aerospace industry by extracting key insights from technical documents. It ingests data from various sources, including Standard Operating Procedures (SOPs) and playbooks, to ensure comprehensive coverage of relevant information. The ingestion pipeline utilizes advanced Named Entity Recognition (NER) techniques to identify and categorize critical data points within these documents. Once the data is extracted, it undergo

The purpose of this DAG is to optimize pricing strategies in the Defense and Aerospace industry by extracting key insights from technical documents. It ingests data from various sources, including Standard Operating Procedures (SOPs) and playbooks, to ensure comprehensive coverage of relevant information. The ingestion pipeline utilizes advanced Named Entity Recognition (NER) techniques to identify and categorize critical data points within these documents. Once the data is extracted, it undergoes a taxonomy classification process, which organizes the information into a structured format for easy access and analysis. Quality control measures are implemented to monitor the accuracy of the extraction process, with key performance indicators (KPIs) focused on extraction precision rates. In the event of processing failures, a reevaluation process is triggered to ensure data integrity and reliability. The outputs of this DAG include indexed data sets that facilitate quick searches and retrievals, enhancing decision-making capabilities for pricing optimization. Monitoring KPIs such as extraction accuracy and processing times provide insights into the efficiency of the workflow, ultimately driving business value by enabling more informed pricing decisions and improving competitive positioning in the market.

Part of the Pricing Optimization solution for the Defense & Aerospace industry.

Use cases

• Improves pricing accuracy through reliable data extraction.
• Enhances operational efficiency by streamlining document analysis.
• Facilitates quick access to critical technical information.
• Enables informed decision-making for competitive pricing.
• Reduces risk of errors in pricing strategies.