✨ AI Summary
Korso is an AI-powered operations platform that automates the quote-to-order workflow for manufacturers, from processing RFQs to tracking purchase orders. Its core is an intelligent assistant that uses business data to enable rapid analysis and decision-making.
Best For
Manufacturing companies, Operations teams in manufacturing, Businesses handling complex RFQs and quotes
Why It Matters
It reduces the time for quote processing and order tracking from hours to seconds by leveraging an AI assistant that understands business documents and history.
Key Features
- Automates the full quote-to-order workflow from RFQ processing to purchase order tracking
- Extracts line items and generates professional quotes using AI
- Provides an intelligent assistant with frontier-model capabilities for instant analysis
- Understands business documents, pricing history, and customer relationships
Use Cases
- A sales manager at a custom metal fabrication shop receives a complex RFQ with dozens of line items and technical drawings. Instead of manually entering data for hours, she uploads the documents to Korso. The AI instantly extracts all part specifications, quantities, and materials, cross-references them with historical pricing, and generates a complete, professional quote. She reviews and adjusts a few items based on customer relationship notes the system surfaces, then sends the quote in under 15 minutes.
- A production coordinator in an electronics assembly plant needs to track the status of multiple purchase orders across different stages. He asks Korso's assistant, 'Which POs for Customer X are delayed in machining?' The system immediately lists the specific orders, shows current bottlenecks with machine utilization data, and suggests reallocating resources based on priority. He uses this to update the production schedule and notify the customer proactively.
- An operations director at a plastic injection molding company is preparing for a quarterly review. She asks Korso, 'What were our top 5 most profitable parts last quarter, and why?' The AI analyzes quote acceptance rates, production costs, and margin history, then presents a clear breakdown with visualizations. It also highlights that two high-margin items had longer lead times, prompting her to discuss capacity planning with the team.