Tradeshift replaces legacy BI with Amazon Quick, cuts costs 40%
Query response times speed up 30x, embedded analytics becomes revenue generator.
Tradeshift, an AI-driven accounts payable and e-invoicing platform operating in over 70 countries, faced severe limitations with its legacy in-house BI tool. The old system capped queries at 10,000 rows, limited reports to 25 MB, retained only six months of data, and consumed 50% of one FTE's capacity for maintenance. These constraints prevented large-scale trend analysis, anomaly detection, and predictive modeling, while Customer Success and Finance teams spent hours on manual CSV exports and Excel macros. External customers had no self-service path, relying on engineering for custom reports.
To address these challenges, Tradeshift deployed Amazon Quick, an agentic AI workspace offering a chat agent for natural language Q&A, Flows for no-code multi-step automation, and Research for comprehensive analytical reports. The implementation began with a proof of concept in early 2024, progressing to an embedded analytics MVP by March 2025. Results included 30x faster query response times, 40% reduction in total cost of ownership, and transformation of embedded analytics into a revenue-generating product. The AP Auditor chat agent now enables finance users to interact with data directly via conversational queries, while automated workflows eliminate manual reporting bottlenecks.
- Query response times improved up to 30x compared to the legacy BI tool.
- Total cost of ownership reduced by 40% after migrating to Amazon Quick.
- Embedded analytics became a revenue product, replacing a tool that consumed 50% of an FTE's capacity.
Why It Matters
Legacy BI can't scale; agentic AI with chat and automation turns data into a profit center for AP platforms.