Sales and margin reporting
Revenue, discount load, and margin by product, category, employee, and location, over the periods you actually manage against.
Platform
The numbers, and what to do about them.
Reporting tells you what happened. The engines underneath tell you what to reorder, which discounts are working, and which transactions do not look right.
Operational reporting
Sales, margin, category performance, and staff productivity computed from the transaction record rather than a nightly approximation.
Demand forecasting
Sell-through and lead time feed replenishment suggestions, turning purchasing into a review rather than a guess.
Risk and fraud signals
A risk engine flags transaction and discount patterns that deserve a second look, with the reasoning attached.
STORE PERFORMANCELast 7 days
- Net sales$48,210+12.4%
- Avg basket$71.40+3.1%
- Discount load8.2%−1.6%
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Illustrative. Demos run in a dedicated environment with our team.
In detail
What intelligence covers
Replenishment forecasting
A demand model proposes order quantities from real sell-through instead of a static reorder point that nobody has revisited.
Fraud and anomaly detection
Discount abuse, refund patterns, and irregular voids surface as ranked signals rather than something you find at year end.
Loyalty performance
See whether the loyalty program is changing behaviour, not just whether points are being issued.
Multi-location comparison
Compare stores on the same basis, with location boundaries respected in who can see what.
Exportable data
Reporting output is exportable, because at some point your accountant will want it in their own tool.
Connected
Works with the rest of the platform.
These are the areas this capability touches most directly.
See it running on real workflows.
Demos are run by our team in a dedicated demo environment, walked through live on a call — so you see the parts that matter to your operation, not a generic tour.