Anomaly radar
Learns each metric's normal rhythm by hour and weekday, so a quiet Sunday never pages anyone, and a real dip on a Tuesday does within minutes.
Concept demo · fictional product
An AI copilot that watches checkout, payments and campaigns around the clock, spots the dip before your team does, and walks you to a safe fix in plain English.
Vantri watches checkout, payments, refunds, ad spend, inventory, subscriptions, support tickets, deploys, pricing tests and email flows.
Product
Learns each metric's normal rhythm by hour and weekday, so a quiet Sunday never pages anyone, and a real dip on a Tuesday does within minutes.
Links the drop to the deploy, campaign or provider that changed, and says why it thinks so.
Rollbacks, paused campaigns and feature flags, always behind a confirm and a full audit trail.
Three lines at 8:00: what moved, why, and whether you need to care.
Per workspace, decide what Copilot may only watch, suggest, or do on its own.
How it works
Read-only connections to your store, payment provider, ad accounts and deploy pipeline.
Vantri builds a baseline for every metric and shows you what it would have flagged.
Pick channels, quiet hours and which fixes need a human to say yes.
Pricing
$0/mo
For one store finding its rhythm.
$79/mo
For teams that sell every hour.
$249/mo
For several brands and regions.
Prices are illustrative. Vantri is a fictional product.
FAQ
Only if you allow it. Every action type has its own switch: watch only, suggest, or act. The default is suggest, and every change is logged.
About a week. Vantri needs a few cycles of your normal traffic before it can tell a slow Sunday from a broken checkout.
No. Related signals are grouped into one incident, quiet hours are respected, and you choose the minimum impact worth a ping.
Connections are read-only unless you enable fixes, data is encrypted at rest, and you can delete a workspace and its history at any time.