Store IQ and GP measurement

Know exactly how much every decision made you. Closed-loop analytics that connect recommendations to actual profit impact.

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Analytics Foundation

Three pillars of intelligence

Store performance profiling, closed-loop profit measurement, and continuous data quality scoring -- the analytics layer behind every module.

Store Intelligence

Store IQ

Every store gets a performance profile built from actual sales data. Sell-through velocity, size curve fit, category strength, and demand patterns -- all quantified.

Per-store demand profiles updated with every snapshot
Size curve intelligence: which sizes sell where
Category-level performance ranking
Store clustering for allocation decisions

Profit Tracking

GP Measurement

Closed-loop profit tracking that connects recommendations to outcomes. Not projections -- actual measured GP impact.

Track GP impact of every stock move
Before/after comparison on every recommendation
Aggregate reporting across modules
Verified outcomes, not modeled estimates

Data Integrity

Data Quality

Bad data in, bad decisions out. The platform continuously scores your data quality and flags issues before they cause problems.

Completeness scoring on every data feed
Anomaly detection on inventory snapshots
Missing SKU and orphan record alerts
Data freshness monitoring

Closed-Loop Measurement

Closed-loop profit tracking. Not projections -- measured outcomes.

Every recommendation is tracked from suggestion through execution to measured GP impact. You always know exactly how much each decision made you.

R7m

GP uplift measured

1,572

Moves tracked

100%

Decision audit trail

265ms

Analysis speed

See your store analytics

Book a demo and we will show you your store performance profiles and what the platform finds.

Book a demo Platform overview

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