Product analytics built for e-commerce teams
Stormly is an AI-native analytics platform built for the complexity of eCommerce data. It unifies customer behavior, product, marketing, and business data from multiple sources into a single platform that not only reports what happened, but explains why it happened. Stormly's AI proactively identifies opportunities, detects anomalies, uncovers root causes, and recommends actions, while enabling teams to ask analytical questions in natural language through integrations with ChatGPT, Claude, Copilot, and other MCP-compatible AI assistants.
AI-powered root cause analysis for sales, conversion, and revenue changes
Natural language analytics through ChatGPT, Claude, Copilot, and MCP
Unified customer, product, marketing, and business data
Automated AI insights, anomaly detection, and proactive alerts
Product, merchandising, and inventory performance analytics
Marketing attribution and campaign performance analysis
Funnel, conversion, and customer journey reporting
Executive dashboards and customizable reports
Scheduled AI summaries delivered daily or weekly
Multi-source integrations including Shopify, Segment, RudderStack, GA4, custom APIs, and data warehouses
Enterprise-scale analytics capable of processing billions of events
Privacy-first architecture with no AI access to personally identifiable information
Understand why sales increased or decreased
Discover the root causes of conversion drops
Identify best- and worst-performing products and categories
Optimize marketing campaigns and advertising spend
Monitor merchandising performance and new product launches
Detect checkout and funnel bottlenecks
Receive proactive alerts before business issues become critical
Reduce preventable product returns through AI-driven analysis
Enable business users to query data without SQL or BI expertise
Provide executives with automated daily business summaries
Power AI assistants with real-time analytics via MCP integrations
Make faster, data-driven decisions across product, marketing, and eCommerce teams
49 people supporting this launch
4.8
6 ratings
AI video with native sound, paid per clip. Nothing stored.
A calmer Mac menu bar, one click away.
Enterprise Software. Intelligent Automation. Global Impact.
Comments
22Hi 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! 🚀
Building ClearSpend AI.
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.
AI marketing workspace for brands & online businesses to create content, launch better ads, track what works and understand what to improve next.
Stormly looks like a powerful AI analytics platform for e-commerce teams, with an intuitive approach to turning complex data into actionable insights.
Founder
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!
Building ClearSpend AI.
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.
Thanks for your comment! Appreciate it!
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.
Working on that! However, most of our clients are enterprise level ecommerce leaders, so we have NDA's with them. But we will bring in more use cases for sure!
iam founder of launch nest ln
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.
What features would you like to see first?
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?
We actually are now integrating market trends into Stormly, so you will be able to combine product behavioral data with market trends and receive clear conclusions!
SEO expert and Founder
Very useful approach, thanks for creating this one
i write a16z speedrun scout checks within 24hours | Co-Founder & CTO at Dial AI
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.
Make AI simple and human so anyone can create.
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?
Yes everything is based on your data and what impacted certain drops. LLM only explains it.
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.
Data science
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
Looks impressive. I like the focus on explaining why metrics changed, not just displaying dashboards.
This is unique to Stormly! Did you give it a try?