AI-powered insights: The new Reporting & Analytics App at a glance
By Ioana Ploesteanu
Senior Product Marketing Manager
Tradeshift
About the Author
As part of the Product team, Ioana Ploesteanu partners with marketing and engineering to craft the positioning and lead user engagement strategies for e-Invoicing compliance and AI-driven capabilities.
Tradeshift’s newest leap in AI for finance: embedded, intelligent reporting for buyers and sellers, powered by Amazon QuickSight and Amazon Q
Artificial intelligence is rapidly transforming how finance teams operate. From accounts payable to procurement to supplier collaboration, business leaders are turning to AI to simplify complex processes and improve decision-making across the board.
At Tradeshift, we’ve been on this journey since 2017, steadily embedding AI into the fabric of our platform to support a more autonomous, efficient, and data-driven future.
This year we’ve taken another step forward with the Reporting & Analytics app: a smart, embedded analytics solution that brings AI-powered reporting directly to users across our global business network.
Designed specifically for finance and operations teams, and powered by Amazon QuickSight and Amazon Q, the app provides intuitive access to data through natural language interactions, machine learning insights, and interactive visualizations. Whether you’re a buyer looking to optimize invoice cycle times or a seller forecasting payments, the app turns complex datasets into clear, actionable intelligence.
👉 Read more about how Tradeshift is redefining AI analytics with Amazon QuickSight and Amazon Q.
Why we chose Amazon QuickSight and Amazon Q
Tradeshift made a deliberate choice to combine Amazon QuickSight, AWS’s scalable business intelligence service, with Amazon Q, its generative AI assistant. This is an approach that sets us apart.
While others may use QuickSight in isolation, we are among the first to pair it with Amazon Q to deliver a seamless, conversational analytics experience embedded directly in a financial platform.
With this integration, users can simply ask a question like “What is the average invoice approval time this quarter?” or “Which suppliers submitted the most invoices in the last 30 days?” and receive intelligent, easy-to-understand answers generated on the spot. No SQL, no report backlog, no dependence on technical teams.
This move puts generative AI for finance directly in the hands of business users, giving them the power to explore, discover, and act on data without delay. Our close collaboration with AWS allows us to bring these advanced AI capabilities directly to the business users who need them most.
✨ This June, Robert Iordache, our Director of Data Science, presented the Reporting & Analytics App together with the Amazon QuickSight team at London Tech Week.
Purpose-built views for buyers and sellers
The app offers two tailored experiences:
Buyers access a wide range of interactive reports focused on KPIs like invoice volumes, cycle times, document throughput, and supplier activity. These reports support finance transformation, shared services optimization, and strategic procurement decisions. Besides the ready-to-use reports, customization options are available for buyers.
Sellers receive a specialized ML-powered payment predictor, which uses historical payment behavior to forecast when invoices are likely to be paid. This insight helps sellers plan cash flow and manage financial risk more effectively.
Both views are continuously updated with live data from the Tradeshift platform, ensuring accuracy and visibility at every step of the e-invoicing and accounts payable process.
👉 Get the full feature breakdown in the Reporting & Analytics datasheet.
Smarter decisions, without technical barriers
AI in finance is only valuable if it’s usable. That’s why the Reporting & Analytics app focuses on AI accessibility. Users interact with data through a conversational interface powered by generative AI, backed by Tradeshift’s infrastructure.
Finance teams can move beyond static dashboards and manual exports. With natural language queries and predictive insights, users quickly surface the information they need, whether to support an audit, improve payment performance, or identify suppliers at risk of churn.
This is a shift toward self-service analytics for finance, powered by the same AI technologies driving innovation across industries like retail, logistics, and banking.
What’s next for AI Analytics at Tradeshift
This release is just the beginning of our AI roadmap for analytics. We are actively developing new features that will further expand the app’s capabilities, including:
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- Additional machine learning models for predictive analytics
- Enhanced personalization and user context awareness to streamline decision-making
- Deeper integrations across the Tradeshift platform to enable end-to-end AP automation
As more customers adopt the app, we continue to learn from their use cases and evolve the product to meet the growing demand for intelligent finance solutions.
Part of a broader AI Strategy
Tradeshift has always approached AI with a long-term vision. The Reporting & Analytics app is part of Tradeshift’s broader strategy to lead in AI for accounts payable, AI in e-invoicing, and autonomous finance. Since introducing our first machine learning capabilities in 2017, we’ve built an AI-native foundation that enables faster workflows, smarter decisions, and better data quality.
In our upcoming Fall Release, we will be introducing AI Invoice Coding 2.0, a major upgrade that improves classification precision and lays the groundwork for fully automated invoice processing. Alongside the Reporting & Analytics app and our platform embedded GenAI Assistant – AskAda, this is another example of how we’re delivering real, applied AI to the heart of enterprise finance.
Explore the AI-driven future of finance
If your team is ready to accelerate its digital transformation with AI-powered e-invoicing and AP analytics, the Reporting & Analytics app is now available to all Tradeshift users.
This is how modern finance works: powered by AI, guided by data, and built for business users.
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