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AnalyticsRetail

RetailEye

Retail analytics dashboard showing SKU pricing and margin insights

Outcome

40% revenue lift from insights

PythonPlotlySQL

The problem

A 30-store retail chain had rich POS data but no way to act on it - pricing and promo decisions were made on instinct, and margin leaks went unnoticed for weeks.

What we built

Jora built a nightly analytics pipeline that clusters SKUs by elasticity, flags margin outliers, and recommends price adjustments. Store managers get a weekly, prioritized action list.

The outcome

Targeted repricing lifted revenue 40% on promoted SKUs within two quarters, and the ops team caught a recurring pricing error that had been bleeding margin for months.

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