Reads your data. Explains it. Suggests the next move. An AI Agent built for ecommerce.
Laplace runs on an ontology: a map of how your orders, ads, products, and customers relate. With those relationships defined, the AI hallucinates less, pins down the real problem from accurate data, and tells you how to fix it.
Half a day per report, and the cause is still a guess.
When collecting and reconciling numbers eats all your time, the why and the what-next come down to guesswork.
Exporting files from every channel
You download ad and order data channel by channel and paste it into one sheet. Then do it again next week.
Half a day fixing formulas
One report means rebuilding VLOOKUPs and SUMIFs. Tracking down the error cells alone takes ages.
You see the number, not the reason
You can see the drop, but why it happened is a guess. The next step waits for the next meeting.
Just ask. Get the analysis and the next step.
Laplace AI works on an ontology that defines how your data connects and what it means. With that business context, it goes past looking up numbers to find causes and suggest actions.
Ask, and it analyzes
Type a question and it queries your connected data and returns the result.
Automatic anomaly detection
It spots major changes and anomalies on its own and sends you an alert.
Root cause and action plan
It traces cause and effect, like why conversion rate fell sharply from last month, and suggests what to do.
Charts and reports, built for you
Each answer comes with charts and a report.
Related insights
It recommends related charts and the next question to ask.
Your permissions, respected
AI features work only within the permissions your project grants you.
Detected before you ask. Root cause and action plan included.
Laplace spots major changes and anomalies, sends you an alert, breaks down where the drop came from, and suggests what to do. Click each step.
Values in K. Flags any day outside the normal range.
AI that understands your data answers by following the evidence.
Laplace defines how orders, ads, products, and customers relate and what each one means, so the AI hallucinates less. You can see the exact data path behind each answer.
- Links each store's option names to one base product (SKU)
- Attributes ad creatives to products to calculate ROAS per product
- Recognizes the same customer across channels
- 1Ads → Products: attribute each creative to the products it sold
- 2Products → Inventory: compare remaining stock with sales pace
AI follows your access level.
AI features work only within the permissions you have in the project. If you can't see the data, the AI won't answer with it.
- Same data scope as each team and role
- Data outside your permissions never goes into an answer
- The same permissions apply to AI tools connected over MCP
Ask Laplace from the AI chat you already use.
Connect Laplace to Claude, ChatGPT, or Perplexity to look up your saved Custom Dashboard charts and metrics like repurchase cycle in conversation. Your permissions carry over.
- Look up saved Custom Dashboard charts in conversation
- Ask about metrics like repurchase cycle and contribution profit in the same terms the app uses
- Search the product guide for answers
- View data change history and create restore points
- Your project permissions apply as-is
Claude (web & app)asking LaplaceProducts 1, 2, and 3 have the highest contribution profit, in that order.
Start in the chat you already use.
Our guide shows you how to connect Laplace to Claude, ChatGPT, or Perplexity.