These tools pull insights from your data. You'll find dashboards that bring webshop numbers together and tools that collect data from websites without code. There are also machine learning platforms like DataRobot and Dataiku. That way you work with numbers instead of assumptions.
Extract data from websites without code and track changes, such as competitor prices. For shops that want to automate market research.
Platform for building, managing, and monitoring AI and data analytics in companies, with agent management.
Enterprise platform for building, managing, and monitoring AI agents and machine learning models, for larger organizations with their own data and AI teams.
With GroqCloud, Groq offers lightning-fast AI inference through an API. For developers who want to run language models in their webshop or tools.
AI platform for predictive, generative, and agentic AI on your own infrastructure, even without internet access.
No-code platform for training and applying machine learning and language models on your own text data, for analysts and data experts.
Collects data from Shopify, ads, email and marketplaces in your own Snowflake environment, with AI analysis. For shops that want to centralize their reporting.
Provides data, evaluations and AI systems for AI labs, governments and large companies.
Measure your shop's advertising and revenue results in one place and ask questions to the AI assistant Moby. For shops that want to combine marketing…
Enterprise AI that turns unstructured video, audio, and text into searchable data for media companies and organizations.
Your webshop collects data every day. Visits, orders, ad costs and returns. That information is often spread across separate systems. Data and machine learning tools bring that data together and look for patterns. That way you see faster what works and what costs money.
Data without a question mostly produces charts. First decide what you want to know. Which campaign brings in customers who come back? Which products are often returned? Then choose a tool that answers that question with the data you already have. The answer is often already in your data, once you put it side by side.
An analysis is only as good as the data that goes into it. Check that your measurements are correct before drawing conclusions. Watch out for duplicate orders, test orders and missing costs. If you work with customer data, check where it's stored and who has access. Ideally, choose one source of truth for your revenue. Then everyone on your team talks about the same numbers.
Small and mid-sized webshops get the most out of ready-made dashboards. You don't need programming skills for those. Scale AI, Veritone and Pienso are meant for larger organizations. For those you need your own data team or specialist knowledge. Start with a fixed weekly look at a few key metrics.
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