Stormly

I like how it combines data from different sources and uses AI to uncover insights, explain trends, and highlight opportunities. The natural language feature makes exploring eCommerce data much simpler.

Exposing the analytics over MCP is the smart part, since it puts the answers where people already ask questions instead of in one more dashboard, and keeping PII out of the AI path is a good constraint to commit to early. How does the root cause analysis separate a real drop from normal ecommerce seasonality?

Great product! The interface looks clean and easy to use. I especially like the simplicity of the overall experience. Looking forward to seeing more features.

I like the focus on turning analytics into actionable insights instead of just another dashboard. The automatic anomaly detection and AI-generated reports could save product teams a lot of time. It would be great to see more real-world case studies showing the impact on revenue and conversion.

I like the focus on turning analytics into actionable insights instead of just another dashboard. The automatic anomaly detection and AI-generated reports could save product teams a lot of time. It would be great to see more real-world case studies showing the impact on revenue and conversion.

Stormly looks impressive! 🤯 Unifying eCommerce data across silos AND explaining anomalies in natural language is solving a real problem. The ChatGPT/Claude integration is a smart move. Curious—how are you approaching GDPR consent compliance for European customers? It's a growing pain point for analytics platforms as regulators get stricter. I build ConsentKeep (GDPR consent logging API for startups) — would love to see how we could integrate!

Stormly looks like a powerful AI analytics platform for e-commerce teams, with an intuitive approach to turning complex data into actionable insights.

I like how it combines data from different sources and uses AI to uncover insights, explain trends, and highlight opportunities. The natural language feature makes exploring eCommerce data much simpler.

Hi everyone! 👋 We're excited to finally share Stormly. We built Stormly because we were frustrated that traditional analytics platforms tell you what happened, but leave you figuring out why. For eCommerce teams, that's often the hardest and most time-consuming part. Instead of adding AI as a chatbot on top of an existing product, we built Stormly AI-first from day one. Every part of the platform is designed to help you understand your business faster—from automatically finding the root causes behind revenue changes to proactively surfacing opportunities and recommending what to do next. Stormly also understands the complexity of eCommerce. It combines customer behavior, products, inventory, merchandising, marketing, and business data into one place, so you get answers in natural language instead of spending hours building dashboards or SQL queries. We'd love to hear your feedback, feature requests, and toughest analytics questions. Thanks for checking us out! 🚀

Very useful approach, thanks for creating this one

E-commerce analytics fragmentation finally solved. Most online stores waste days every quarter trying to answer simple business questions - why did conversion drop this week, which product categories underperformed, what impact did that marketing campaign actually have. Data lives scattered across Shopify, GA4, payment processors, inventory systems. Even with all the raw data available, teams spend hours doing SQL joins or manual spreadsheet analysis just to find the root cause. Stormly eliminates that entire category of busywork by unifying fragmented data and using AI to automatically answer the why question instead of just reporting the what. The natural language interface removes the SQL expertise barrier - merchandisers and marketing directors can ask questions directly instead of waiting for analysts. The proactive anomaly detection angle is especially clever - catching checkout issues or product performance drops before customers complain. Real win for ecommerce teams that need fast, data-driven decision-making without hiring a full analytics team.

E-commerce analytics is critical for scaling. Love that this is purpose-built for e-commerce teams rather than generic analytics. The product-focused approach makes a lot of sense.

Looks impressive. I like the focus on explaining why metrics changed, not just displaying dashboards.

seems good, I will try for sure

The "explains why it happened, not just what" framing is the real pitch here — every analytics tool shows you the dip, almost none tell you the cause, and that's usually where non-analysts give up. The MCP angle for asking questions through Claude or ChatGPT is genuinely forward-looking; most tools are still stuck on rigid dashboards. My one honest worry with AI root-cause features is trust: when it says "sales dropped because of X," can I see the underlying data it reasoned from, or do I have to take the explanation on faith?

Stormly has great potential! A few improvements could make it even better. I'd love to share my feedback and suggestions. WhatsApp: https://wa.me/447307349530 Telegram: t.me/rforrank