Inventory and retail
Inventory CSV Dashboard for Stock and Retail Teams
Inventory data usually arrives as a spreadsheet export with product, quantity, price, store, supplier, or category fields. The right dashboard makes the next stock question visible without forcing a retail manager to learn BI software.
Upload
Bring the CSV you already use.
Understand
Start with the brief and evidence.
Act
Ask, edit, filter, and export.
See stock signals quickly
Start with row count, product coverage, numeric ranges, missing values, and the strongest category or store signal. These checks make the file understandable before a replenishment decision.
Filter by what the file contains
If the CSV has store, category, campaign, supplier, or status fields, those become useful filters. If a field is not present, it should not appear as a fake control.
Use AI for investigation
Ask which items have unusual values, which store contributes most to a total, or what should be validated before ordering. Keep the answer grounded in the visible data.
Common questions
Is I.S.A.A.C only for inventory?
No. Inventory is one common use case; the dashboard adapts to other CSV structures too.
Can I edit stock data?
The editor is read-only until you explicitly enter edit mode, then you can export the updated CSV.
Keep exploring
See what your own CSV is saying.
Try the browser workspace with a real file and keep the public guide open when you need help.
Start free