From Shelf to Shareholder: How Brands Use AI to Thrive Amid Market Pressures

Walmart’s Q3 earnings, 2025 holiday shopping trends, tariff/inflation hangovers, and the rise of agentic commerce signal a clear shift: consumers are shopping differently, and the pace of change is only accelerating. More consumers are deal-seeking, increasingly channel-agnostic, and far more willing to comparison shop when value tilts in another direction. Retailers and brands have had to adjust on the fly, even as investors expect margin discipline and profitable growth.

In a fast-moving environment, accuracy is everything. The brands winning in this area today are embedding artificial intelligence into their revenue management initiatives to turn market pressure into enduring value.

The Old Playbook No Longer Works

Traditional revenue management systems were designed for a more predictable marketplace, one where shopper habits held steady and annual plans could serve as dependable guides. Those days are long gone.

Outdated pricing models may overlook revenue opportunities, fragmented and/or low-quality data clouds demand forecasts, and siloed teams chase their own key performance indicators, creating avoidable gaps that cost brands money.

The fallout can easily snowball. A CPG brand rolls out a national promotion to boost volume but over-discounts in markets where shoppers would have paid full price, eroding margin without gaining incremental share and weakening its position for future promotions. A retailer allocates inventory based on last year’s patterns, missing early signals that demand has pivoted. These mistakes aren’t anomalies; they happen because decisioning speed can’t keep pace with rapidly changing market dynamics.

How AI Changes the Game

AI is an amplifier for key revenue decisions. By ingesting point-of-sale data, loyalty behavior, competitive pricing shifts, macroeconomic signals, or local competitive actions, companies can identify emerging patterns that wouldn’t have revealed themselves with legacy approaches, creating a new level of actionable intelligence.

Instead of blunt, national-level tactics, brands can calibrate decisions at the market- or store-level. AI-informed dynamic pricing enables teams to strike the right balance between margin and velocity. Promotions can also be targeted to price-sensitive shoppers without conditioning more premium buyers to wait or seek out better deals.

Furthermore, with AI’s predictive modeling, companies move from reacting to anticipating market shifts. That foresight allows teams to rebalance inventory, adjust production, or refine promotional plans before small trends become costly problems.

For example, suppose a SKU appears to be underperforming with a key retail partner. A traditional analysis might blame weakening category demand. Instead, AI uncovers local competitive pressure or operational misfiring, such as poor shelf placement. Instead of blanket solutions, teams can act with surgical precision.

From Tactical Wins to Strategic Value

The near-term gains of AI-powered decision-making are meaningful: stronger promotional return on investment, reduced waste, faster inventory turns, and fewer out-of-stocks that send shoppers elsewhere.

Longer term, brand equity depends on being consistent, available, and priced in a way that conveys value. AI gives brands the ability to deliver that experience across thousands of SKUs and countless stores. Reliability builds trust, and trust, particularly among value-minded consumers, builds loyalty.

Retailers also benefit. When brands use AI to make smarter pricing, promotion and inventory decisions, it aligns both sides around the same goals: better availability, improved customer experiences, and stronger margins.

Evolving customer behavior and market volatility are here to stay. Brands that blend human decisioning with AI-powered insight aren’t just keeping pace, they’re setting the new standard for how growth materializes. The companies building this muscle now will have the advantage long term.

Andrew McKairnes is chief customer officer – analytics at XTEL, a revenue management and analytics leader.