When customers ask us about AI, they're asking: does it actually make your product better? Our answer is yes. We've embedded AI into three areas where it moves the needle: customer data insights, support, and how our team builds product.
1. Data Intelligence: Vinta Agent
At Vintaflow, we've introduced Vinta Agent, an AI copilot built on Microsoft Fabric that connects to our unified data lake. It transforms how supply chain teams interact with data—allowing them to ask complex questions and get instant answers from live sources.
Unified data intelligence: Vinta Agent integrates product, inventory, and order data across our global supply chain ecosystem, creating a single, trusted source of truth.
Conversational analytics: Users can simply ask questions like "Which distributors are running below safety stock on rosé SKUs?" and get immediate, data-backed insights.
Continuous awareness: The agent actively monitors imports, alerts, and operational anomalies, helping teams anticipate issues before they escalate.
2. Customer Support and Knowledge Base: Hugo
An intelligent chatbot built into Vintaflow that scans our knowledge base and customer data to deliver fast, context-aware answers. It resolves common issues immediately or routes complex ones to the right support channel with full context.
Interprets customer intent, matches it against known articles and past cases, and either self-resolves or enriches the context before routing.
Over time, it helps customers self-serve more effectively while reducing friction for complex cases.
3. Agentic Engineering
Agentic coding tools are woven into how product managers and engineers work. Product managers use them to generate UX mockups, API schemas, and user-story specs. Engineers leverage them to accelerate coding tasks—boilerplate, refactoring, unit tests, debugging—while owning design and architecture decisions.
The Bottom Line
AI works best when it solves a real problem. We've focused on three areas where it genuinely creates value: smarter customer decisions, frictionless support, and faster shipping. That's how we're thinking about AI adoption.