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Retail Pennsylvania

Weis Markets: +$3.4M annual private label margin improvement

197-store grocer made assortment decisions from 7-day-stale syndicated data. Promotional lift took 3 days to calculate.

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The Challenge

Why Weis Markets Needed a Power BI Solution

197-store grocer made assortment decisions from 7-day-stale syndicated data. Promotional lift took 3 days to calculate.

The Solution

What We Built

Power BI connected to Retalix POS and JDA merchandise planning. Daily margin by store, category, and SKU. Lift visible within 24 hours.

Technologies: Retalix POS, JDA Merchandise Planning, Azure Data Factory, Power BI Pro

The Results

Measurable Outcomes

+$3.4M annual private label margin improvement

340 underperforming SKUs identified in first 60 days.

“The only way to compete with Walmart is to know your numbers better. Power BI gave us that edge.”
— SVP Merchandising, Weis Markets
FAQ

Retail Power BI — Common Questions

Power BI connected to Retalix POS and JDA merchandise planning. Daily margin by store, category, and SKU. Lift visible within 24 hours.
+$3.4M annual private label margin improvement. 340 underperforming SKUs identified in first 60 days.
Most Power BI projects of this scope are delivered in 8-16 weeks. Working dashboards appear within the first 2 weeks.
Retalix POS, JDA Merchandise Planning, Azure Data Factory, Power BI Pro

Project Summary

Industry
Retail
Location
Sunbury, PA
Key Result
+$3.4M annual private label margin improvement
Contact
SVP Merchandising
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