Extrakt.AI automates supply chain operations by extracting data from various document types, including emails and PDFs, and integrating it directly into ERP and TMS systems without manual entry. This technology eliminates the inefficiencies of data handling, achieving over 99% accuracy in data extraction while simplifying template creation to a spreadsheet-like format.
Funding
Funding not disclosed
Founders
Product
Problem
Many supply chain operations still rely on manual data entry from documents like PDFs, emails, and spreadsheets into ERP and TMS systems, leading to inefficiencies and errors. Traditional OCR solutions often fail to achieve the accuracy needed for reliable data integration, requiring significant manual validation and correction.
Solution
Extrakt.AI automates supply chain workflows by using AI agents to extract data from various document types and directly integrate it into ERP and TMS systems. The platform eliminates manual data entry, understands processes, and resolves missing or ambiguous data. Users can automate tasks such as processing purchase orders, invoices, order confirmations, and demand forecasts from PDFs, emails, spreadsheets, and other formats. Template creation is simplified with a spreadsheet-like interface, and the system achieves over 99% data extraction accuracy.
Target Audience
The primary target audience includes supply chain professionals, logistics managers, and operations teams seeking to automate data entry and improve the efficiency of their ERP and TMS systems.
Features
- AI-powered agents for automated data extraction from supply chain documents
- Support for various document types, including PDFs, emails, spreadsheets, and scans
- Direct integration with ERP and TMS systems
- Spreadsheet-like interface for easy template creation and validation
- Data extraction accuracy exceeding 99%
- GDPR, ISO 27001, and SOC 2 compliance for data security
- Metadata analysis to provide context for extracted data