Perimeter cross-references inventory, sales and shipments at the SKU and warehouse level. When a pattern falls out of range, it alerts you with the likely cause and the history of every time the same thing happened.
The national average hides the decision. Perimeter drills down to SKU by warehouse and projects how many days of coverage remain at this week’s actual rate of sale.
Every delivery is compared against its committed date and quantity. Missed commitments stop being a hunch and become a number with a history.
Set the threshold once. Perimeter watches the live data and, when it’s crossed, sends the alert to the right channel with the context to act.
Each one is answered in the conversation, with its chart and the SQL behind it. When the number matters, anyone can audit where it came from.
From the moment a pattern falls out of range to when someone on the team can act.
Inventory, sell-through and shipments are checked as often as you defined.
Cross-references shipments, supplier and seasonality to propose an explanation.
Rules out false positives from transfers between warehouses or store closures.
The alert arrives with the SKU, the warehouse, the timeframe and what happened the previous times.
No exporting spreadsheets or pasting data by hand. Every connection is read-only and can be revoked in one click.
SAP
Odoo
PostgreSQL
SQL Server
Snowflake
Databricks
Google Sheets
Slack
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