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CASE STUDY

Specialty Retailer: Einstein for Dynamic Pricing + Promotion Optimization

A specialty retailer deployed Einstein for dynamic pricing + promotion optimization. Margin protection + revenue lift simultaneously.

May 9, 2026 · 2 min read · By admin
At a glance
14% CHANGE
Industry
Retail
Topics
Commerce Cloud · Einstein AI · Salesforce
Published
May 2026
Headline outcome
14% Promotion margin: up 14% (better…

Measured outcomes

What this programme actually delivered.

14%

Promotion margin: up 14% (better targeting)

22%

Promotion-driven revenue: up 22%

The challenge

A specialty retailer ran promotional pricing through gut-feel + spreadsheet rules. Promotions sometimes destroyed margin; sometimes left revenue on the table.

What we built

Einstein-driven dynamic pricing + promotion optimization. ML models trained on historical promotion performance. Per-product price elasticity. Real-time markdown optimization.

Outcomes

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