Tradeshift Transforms Analytics with Amazon Quick and Agentic AI

Tradeshift, a platform serving global accounts payable and e-invoicing markets, transitioned from an in-house legacy BI tool to Amazon Quick, an agentic AI workspace. This move was driven by the need to handle increasing data volumes and customer expectations. Amazon Quick's capabilities include natural language querying, automated workflows, and deep research functions, all built on AWS with enterprise security. The new system supports large-scale data processing, with dashboards processing up to 100 million records and response times under three seconds, compared to 45-90 seconds previously.

The migration resulted in substantial operational improvements. Internal teams save over 8 hours weekly on manual reporting, while external clients save 6-8 hours per week. Maintenance costs dropped by 40%, and the company reduced infrastructure costs by 35%. The platform's automation and self-service features led to faster report deployment, increased user adoption, and higher customer retention.

A key innovation is the AI-powered chat agent for accounts payable auditors, enabling instant, natural language access to data and documents, reducing dependency on technical teams. Additionally, high-volume data workloads are now processed swiftly, providing real-time operational insights. These enhancements have transformed Tradeshift’s analytics from a cost center into a revenue-generating product, with a 2% increase in recurring revenue from premium tiers.

The implementation exemplifies how enterprise AI solutions can significantly improve efficiency, reduce costs, and empower non-technical users to leverage data insights. The company plans to expand AI capabilities further, including live data actions and broader user access, reinforcing its leadership in AI-driven B2B financial services.