Tradeshift Moves to Agentic AI with Amazon Quick, Speeding Up Queries 30 Times

Tradeshift, a platform for accounts payable management and electronic invoicing, originally used its own BI tool that struggled with growing data volumes and customer expectations. It supported a maximum of 10,000 rows per query, a 25 MB report limit, and stored only six months of history. The company migrated to Amazon QuickSight, an AI-powered analytics space that includes a chat agent for natural language queries, automated workflows (Flows), and a research module (Research). Results: query response time dropped from 45–90 seconds to under 3 seconds, total cost of ownership decreased by 40%, and infrastructure costs fell by 35%. Internal teams saved 8.5 hours per week on manual reporting, while external buyers saved 6–8 hours per user. The company launched embedded analytics with two tiers: Standard (standard dashboards) and Premium (custom dashboard creation, scenario modeling, and access to agentic AI). In the first year, 50% of enterprise buyers actively use the platform, and customer retention with analytics is 10% higher. The architecture includes 16 embedded dashboards, over 270 SPICE datasets, and the AP Auditor chat agent connected to 11 reference documents, 9 dashboards, 14 query topics, and 68 tools via the Model Context Protocol. Security is ensured with Okta SSO, custom namespaces, signed URLs, and row-level security with 14,000 rules.