Custom AI RFQ Automation Software

The demo accepts common RFQ formats, like PDFs, Excel spreadsheets, or even text-based documents, and automatically extracts the list of requested products, quantities, and units.

Our AI uses a combination of OCR (for scanned PDFs), layout recognition, and natural language processing to detect tables, item codes, and descriptions. It can handle irregular document structures and mixed-language content.

Once items are extracted, the system automatically searches your internal ERP catalog to find the closest product matches — even if names, codes, or units don’t align perfectly.

The demo uses a hybrid AI matching engine that combines vector search (semantic understanding) with fuzzy text matching. This means it can identify equivalent products even when item names differ, abbreviations are used, or multiple languages appear in the RFQ.

The demo automatically pulls relevant pricing information for each matched product from your previous quotations, purchase orders, or historical ERP data.

The system cross-references your matched items with stored pricing histories, including supplier relationships, last purchase prices, or average costs. The AI can also calculate a confidence level and suggest a “most likely” valid quotation price.

After item extraction, matching, and pricing, the system automatically assembles a ready-to-review quotation in a structured format, complete with item lines, descriptions, quantities, and suggested prices.

The demo outputs an editable Excel or JSON file compatible with ERP import workflows. Each line item includes matched product codes, historical prices, and confidence scores. The export can be configured to match your company’s quotation template or ERP schema.