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Evolving from legacy BI to agentic AI at Tradeshift with Amazon Quick

Machine Learning Blog



This article describes how Tradeshift, an AI-powered accounts payable platform, migrated from a legacy BI tool to Amazon Quick, an agentic AI workspace with natural language querying, automated workflows, and research capabilities.

  • Legacy BI tool limited to 10,000 rows per query and consumed 50% of one FTE's capacity for maintenance
  • Amazon Quick deployment achieved 30x faster query response times and 40% reduction in total cost of ownership
  • Built three-layer analytics architecture: 16 embedded QuickSight dashboards, conversational AI access, and tiered data autonomy (Standard and Premium tiers)
  • Internal teams save 8.5 hours weekly on manual reporting; external customers save 6-8 hours per week
  • Embedded analytics generated 2% incremental annual recurring revenue and improved customer retention by 10%
  • AP Auditor chat agent enables self-service natural language queries without SQL knowledge or BI team dependency
  • Achieved 98% internal adoption and 50% active monthly adoption among enterprise buyers within first year

Tradeshift transformed analytics from a cost center into a revenue-generating product by leveraging agentic AI to democratize data access and eliminate manual reporting bottlenecks.



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