Holiday 2026 Will Reward Retailers That Win Selective Shoppers and AI Discovery

The Holiday 2026 Forecast: Selective, Early and AI-Guided

Holiday 2026 is shaping up as a season of cautious but ongoing spending. Retail analysts from Circana, Publicis Sapient, GlobalData and Retailytics expect consumers to remain willing to buy, but to plan earlier, compare more and switch brands or categories without hesitation. Sudip Mazumder of Publicis Sapient calls it "value-led shopping increasingly mediated by AI," while Marshal Cohen of Circana describes a shift toward "minimalistic buying" — purchasing the bare minimum needed to preserve the holiday without overspending.

Neil Saunders of GlobalData expects a reasonably solid overall season, but warns that headline spending will be selective. His forecast points to polarized results: some retailers will achieve meaningful gains while others miss out. Mazumder is more cautious on the aggregate number, projecting below-2% holiday growth against a soft year-ago comparison, with higher prices, gas costs and elevated credit card debt acting as headwinds.

Several experts say the traditional deep-discount playbook is losing relevance. Bellamy Grindl of Retailytics argues that Holiday 2026 will be a battle for share of wallet rather than a race to the bottom on price. Retailers that stock the right products and use promotions strategically — instead of broadly clearing excess inventory — are more likely to protect margin and win with specific items.

At the same time, artificial intelligence is moving to the center of both product discovery and operational decision-making. Mazumder says retailers risk becoming "non-citable" in AI-driven shopping journeys if product data, pricing logic and value explanations are not structured for answer engines. Grindl adds that brands investing now in AI and planning infrastructure will be able to react faster to competitor pricing, inventory levels and demand shifts during the season itself.

Why AI-Citability, Inventory Precision and Fuel Costs Will Decide the Season

AI Is Becoming the Discovery Layer, Not Just a Marketing Channel

Mazumder's warning is specific: treating AI-mediated shopping as a traditional SEO or marketing-layer adjustment misses the larger risk. If a retailer's product data, pricing logic, availability and value proposition are not structured so answer engines can confidently summarize and recommend them, the retailer can disappear from AI-driven shopping journeys. That is a fundamentally different requirement from keyword optimization, because AI systems need authoritative answers to questions like "which one should I buy and why?" rather than simply finding a relevant page.

Grindl points to a parallel operational use. Retailers that build AI-enabled planning infrastructure now can respond in-season to competitors' pricing, inventory changes and demand shifts instead of waiting until the season ends to understand what worked. That capability may separate fast-moving retailers from those still solving the previous season's problems.

Deep Discounts Are Losing Ground to Inventory Precision

Grindl's advice to concentrate inventory dollars on known winners, rather than spreading investment evenly across an assortment, reflects a broader shift away from broad promotions. She says the brands she works with are planning for a smaller but more profitable holiday, with the focus on protecting margin and winning with the right products rather than chasing every revenue dollar. The deepest discounters are unlikely to be the automatic winners.

Cohen connects this to a demand-side change. Shoppers are looking for gift ideas that are different from what they bought in the past. If retailers rely only on price cuts and lack newness or innovation, they risk failing to provide the inspiration consumers are actively seeking.

Fuel Prices Could Reshape How People Shop, Not Just How Much They Spend

Mazumder argues that higher fuel prices would reduce discretionary trips and impulse buying, leading to fewer but larger baskets. Fulfillment choices would shift toward consolidated pickup orders or ship-to-home options when delivery feels free. That same dynamic raises retailer delivery and replenishment costs at a moment when shoppers are most comparison-hungry. AI amplifies the pressure by making trade-downs, substitutes and deal discovery visible in real time.

Early Planning Creates a Dual Demand: Convenience and Inspiration

Cohen says consumers will start holiday shopping earlier and plan more extensively. They are looking for two things at once: convenience and efficiency on one side, inspiration and excitement on the other. The challenge for retailers is to deliver both, rather than optimizing for only one and leaving the other to competitors.

How Retailers Can Prepare for a Smaller but More Profitable Holiday Season

For retailers and brands planning for Holiday 2026, the analysts' guidance points to a set of concrete operational priorities rather than another round of blanket markdowns.

• Make the product catalog AI-readable. Mazumder advises structuring product data and content around customer intent, including authoritative answers to "which one should I buy and why?" so answer engines can confidently recommend the product.
• Reinforce trust with transparent promotions, clear policies and credible FAQs. These elements improve the likelihood that AI-driven shopping journeys cite the retailer's value proposition.
• Concentrate inventory investment on proven winners. Grindl warns against spreading inventory dollars evenly across the assortment; she recommends identifying winning products and backing into them with stock and promotion support.
• Build in-season reaction capability. Invest in AI and planning infrastructure now so the business can respond to competitor pricing, inventory levels and demand shifts during the season rather than after it ends.
• Balance convenience with inspiration. Cohen notes that early-planning shoppers want efficiency and newness; retailers should provide useful gift ideas and digital options, not only price-focused messages.
• Plan for margin pressure from fuel and delivery costs. Mazumder highlights higher delivery and replenishment expenses at the same time shoppers are comparing heavily, so operational efficiency and strategic promotions matter more than broad discounting.