Evolving from legacy BI to agentic AI at Tradeshift with Amazon Quick
Quick Answer
Tradeshift transitioned from a legacy BI tool to Amazon Quick, achieving 30x faster query responses, a 40% reduction in total ownership costs, and embedding analytics that generate revenue.
Quick Take
This shift democratized data access and improved operational efficiency across their AI-powered accounts payable platform.
Key Points
- Amazon Quick reduced query response times from 45-90 seconds to under 3 seconds.
- The transition led to a 40% decrease in total cost of ownership.
- Tradeshift's analytics now supports up to 100 million transaction records.
- Users can perform natural language queries without SQL expertise.
- The implementation achieved 98% adoption across the organization.
DeepSignal Analysis
What happened
Tradeshift transitioned from its proprietary BI tool to Amazon Quick, resulting in significant operational improvements. The company reported a 30x increase in query response speed and a 40% reduction in total ownership costs. This shift also enabled the creation of an embedded analytics product that generates revenue.
Key evidence
- Tradeshift's legacy BI tool limited query capabilities to a maximum of 10,000 rows and retained only six months of historical data, which hindered advanced analytics.
- With Amazon Quick, Tradeshift's internal teams saved 8.5 hours weekly on manual reporting tasks, while external buyers saved 6 to 8 hours per week per user.
- The company achieved a 2% annual recurring revenue increase from existing buyer accounts through its premium reporting tier after implementing Amazon Quick.
Why it matters
The transition to Amazon Quick reflects a broader trend in the industry towards more agile and efficient data analytics solutions. By reducing reliance on manual reporting and enabling self-service analytics, Tradeshift enhances decision-making speed and operational efficiency. This shift not only improves internal processes but also positions Tradeshift to better serve its customers, potentially leading to increased revenue streams.
Source Excerpt
In this post, we describe how Tradeshift deployed Amazon Quick with agentic AI capabilities to replace our legacy BI tool, resulting in query response times up to 30 times faster, a 40 percent reduction in total cost of ownership, and turned embedded analytics into a product that generates revenue.
Want this in your inbox every morning?
Daily brief at your local 8am — bilingual EN/中文, free.
More from AWS Machine Learning
See more →
Implement on-behalf-of token exchange for multi-tenant agents with Amazon Bedrock AgentCore Gateway
Amazon Bedrock AgentCore Gateway introduces on-behalf-of (OBO) token exchange for multi-tenant AI agents, addressing identity issues when calling downstream APIs. This implementation guide demonstrates how to maintain user identity and enforce least privilege while scaling across tenants using OAuth 2.0 Token Exchange (RFC 8693).
