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

Tradeshift deployed Amazon Quick with agentic AI to replace its legacy business intelligence tool, reporting up to 30x faster query responses and a 40% reduction in total cost of ownership.

By AIWI EditorialReviewed by Chayanika DivekarAI-assisted summary · human-reviewed1 min readPublished Jul 20, 2026

Single source1 source

Reality Check

Availability: Shipping now
Hype-o-meter: Some hype
Who it's for: Enterprises · Data teams
Do this now: If you run a legacy BI tool, review Amazon Quick's agentic analytics capabilities against your current query and cost benchmarks.
Claims check: Metrics come from the vendor blog describing a single customer deployment; figures are self-reported.
Corroboration: Single source · 1 source

Key Takeaways

Tradeshift moved from a legacy BI tool to Amazon Quick with agentic AI
Query response times reported as up to 30 times faster
Total cost of ownership cut by 40 percent
Embedded analytics became a revenue-generating product

Tradeshift replaced its legacy business intelligence tool with Amazon Quick, adding agentic AI capabilities. According to the post, the migration produced query response times up to 30 times faster and a 40 percent reduction in total cost of ownership. The company also states that its embedded analytics shifted from an internal feature into a product that generates revenue.

Why it matters

The account presents a concrete enterprise migration example, pairing a modernized analytics platform with agentic AI and citing measurable outcomes in speed, cost, and monetization.

Who should care

Organizations running legacy BI systems and teams evaluating embedded analytics or agentic AI for enterprise data workflows may find the described results relevant.

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Sources & Further Reading

Evolving from legacy BI to agentic AI at Tradeshift with Amazon Quick — AWS Machine Learning Blog · Jul 20, 2026

Frequently Asked Questions

What performance improvements did Tradeshift report?

Query response times up to 30 times faster and a 40 percent reduction in total cost of ownership.

What did Tradeshift do with embedded analytics?

It turned embedded analytics into a product that generates revenue.

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