Consumer
AI Is Reshaping Demand, Pricing, and Margin Faster Than Compensation Can Respond
From AI-driven demand forecasting to prescriptive pricing and promotion optimization, consumer brands are accelerating analytics — while compensation structures lag behind how commercial teams are actually making decisions today.
Trusted by compensation leaders protecting billion-dollar brands

Pricing Power Now Lives in Analytics Talent
As pricing, promotion, and assortment shift to prescriptive AI, the people building and tuning those models now influence margin as directly as pricing strategy itself.
Your Go-to-Market Speed Is a Talent Decision
When demand signals shift overnight and retailers adjust inventory strategies, commercial and analytics teams must move quickly. Compensation structures built for legacy job families slow that response.
Demand shifts weekly. Promotions adjust daily. If RGM talent turns over or stalls in approval cycles, margin performance slips in real time.

Revenue Growth Management is evolving from spreadsheet analysis to prescriptive optimization. As AI models inform assortment, elasticity, and trade spend, pay architecture must reflect hybrid commercial-analytics roles.
When digital commerce, data science, and traditional brand roles sit in the same hierarchy, inconsistent premiums create internal friction. High performers disengage long before they resign.
Stabilize Commercial Talent to Protect Margin
Margin performance now hinges on teams shaping pricing, promos, assortment, and forecasts.
As AI accelerates decisions, pay programs must move just as fast—without losing governance. Misleveled or under-equitized pricing, digital, or RGM talent drives lost leverage.
When comp drifts, margin follows.

Where Consumer Brand Compensation Leaders Go for Clarity