An AI-driven experience management platform for enterprises to collect multi-channel feedback, analyze structured and unstructured data, and deliver actionable insights.
Stormly 2.0

About Stormly 2.0
Stormly 2.0 is a cloud-based software platform focused on helping businesses manage weather-related risks through real-time data, predictive analytics, and decision-making tools. The platform aggregates and processes weather information from multiple sources to deliver accurate, up-to-date insights on current conditions, historical trends, and future forecasts. Users can access detailed weather maps, risk assessments, and probability forecasts to identify potential disruptions to operations, supply chains, or investments. Stormly 2.0 is designed for industries such as logistics, agriculture, energy, retail, and event management where weather conditions directly impact business continuity. The platform integrates historical weather data with predictive models to provide actionable intelligence for proactive planning and risk mitigation. It supports scenario analysis, enabling users to evaluate the impact of different weather outcomes on their operations. Stormly 2.0 also offers customizable dashboards and alert systems to keep stakeholders informed of evolving weather risks. By centralizing weather-related decision-making, the platform aims to reduce operational disruptions and financial losses associated with adverse weather events.
Key features
- Access real-time weather data
- Utilize predictive analytics
- Leverage decision-making models
- Track storms and anticipate disruptions
- Assess weather-related risks with risk mapping and probability forecasting
- Make informed decisions about operations and investments
Use cases
- Anticipate and prepare for severe weather events
- Optimize supply chain management to minimize weather-related disruptions
- Inform investment decisions based on weather patterns and trends
Pros
- AI-powered analytics automates trend detection and anomaly explanation
- Pre-built e-commerce reports require no setup and deliver immediate insights
- Seamless integration with major platforms like Shopify and Adobe Commerce
- Custom report creation included at no extra cost
- Clear, actionable insights delivered automatically to inboxes
Cons
- Limited to e-commerce use cases, excluding broader weather-related applications
- May require additional setup for advanced custom reporting
- Dependent on third-party data sources for accuracy and completeness
Frequently asked questions about Stormly 2.0
What is Stormly 2.0 and what does it do?
Stormly is an AI-powered analytics platform designed specifically for e-commerce teams. It automates the analysis of product performance, detects trends and anomalies, and delivers actionable insights directly to users' inboxes to support data-driven decision-making.
Who is Stormly 2.0 best suited for?
Stormly is ideal for e-commerce teams, merchandisers, and product managers who need to monitor performance, identify issues early, and optimize product assortments without relying on manual reporting or data teams.
How does Stormly 2.0 integrate with existing tools?
Stormly connects seamlessly with e-commerce platforms like Shopify and Adobe Commerce, as well as data sources such as Segment, in one click without requiring engineering support. This allows users to start analyzing data quickly.
Can Stormly 2.0 create custom reports?
Yes, Stormly offers a library of pre-built e-commerce reports and can create custom reports at no extra cost based on specific user needs, ensuring relevant insights are always available.
What kind of insights does Stormly 2.0 provide?
Stormly’s AI agent identifies trends, anomalies, and root causes behind performance changes, such as conversion drops or product underperformance, and explains these findings in clear, actionable terms.
How do I get started with Stormly 2.0?
Users can start with a free trial by connecting their data source, selecting reports, and allowing the AI agent to begin delivering insights automatically. No credit card is required to begin.