Wove develops an AI-powered data ingestion engine that transforms unstructured data from various sources, such as emails and spreadsheets, into standardized outputs in seconds. This technology reduces data ingestion workflows for logistics companies from days to minutes, significantly enhancing operational efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Logistics companies face significant challenges in efficiently extracting and standardizing data from unstructured sources like emails, spreadsheets, and documents. Manual data entry from these sources is time-consuming, error-prone, and delays critical processes such as quoting and operations.
Solution
Wove provides an AI-powered data ingestion engine that automates the extraction and standardization of unstructured data from various sources commonly used in the logistics industry. The platform ingests data from emails, spreadsheets, PDFs, and other document types, transforming it into clean, standardized outputs in seconds. By automating this process, Wove significantly reduces data ingestion workflows, enabling logistics companies to quote customers faster, improve operational efficiency, and reduce manual data entry. The platform also includes an email copilot that automatically extracts relevant data from inbound emails and integrates it with existing quoting systems.
Target Audience
Wove's primary customers are logistics companies seeking to automate data ingestion, improve quoting speed, and enhance operational efficiency.
Features
- AI-powered data extraction from unstructured sources (emails, spreadsheets, PDFs, etc.)
- Automated data standardization and transformation
- Email copilot for automatic data extraction from inbound emails
- Natural language querying of rate sheets and contracts
- Compatibility with various global carriers
- Integration with existing quoting systems