Dmitry G.

Best fit for companies whose incoming product, supplier, customer, or order data doesn't match what's already in their ERP, CRM, or product catalog. Businessware Technologies builds AI matching systems that find the right internal record automatically, even when names, descriptions, units, and formats are inconsistent or incomplete. Workflows we typically automate: - RFQ to ERP: extract incoming line items and match them to existing SKUs or product records - Supplier catalog to ERP: map thousands of supplier products to an internal product master - Product to product: identify equivalent, duplicate, alternative, or related items across different catalogs - Invoice or order to internal records: match incoming items, customers, suppliers, or orders against existing database records - External data to master data: normalize and reconcile records coming from spreadsheets, PDFs, emails, APIs, and third-party systems A typical matching pipeline combines normalization, exact and fuzzy matching, semantic search, LLM-based reasoning, historical matches, business rules, and confidence scoring. High-confidence matches can be processed automatically. Ambiguous cases go to a human reviewer, and approved decisions can be reused to improve future matching. This matters most when a simple SKU lookup or keyword search isn't enough. Every customer or supplier may write the same product differently, descriptions may be incomplete, identifiers may be missing, and several internal records may look equally plausible. We build the complete workflow around the matching logic: ingestion, parsing, candidate retrieval, ranking, validation, review screens, feedback loops, and integration with ERP, CRM, databases, or APIs.