When Every Retailer Has AI, What Actually Creates an Advantage?

Artificial intelligence is quickly becoming standard equipment for marketers. Retailers are using it to create campaigns, optimize media, personalize experiences, and make decisions faster. That adoption will only accelerate as peak season approaches. As access to these capabilities becomes more widespread, however, simply having AI within the marketing stack will become less meaningful. The greater opportunity lies in making sure the technology understands the specific commercial priorities of the business and can learn from the data that makes each retailer different.

This is becoming particularly important as AI changes the way people shop. Consumers can increasingly use AI-powered search tools to compare products, ask for recommendations, and narrow down choices based on their individual needs. Parts of the traditional discovery journey that once happened across search engines, social platforms, marketplaces and retailer websites can now take place within a single interaction. For marketers, this creates another influential intermediary in the shopping journey at the same time that AI is taking on a greater role in deciding how their media budgets are spent.

Retailers therefore need to think carefully about where the intelligence generated from their customers and campaigns ultimately lives. When those learnings remain within individual platforms, they may improve performance there but they do not necessarily become intelligence that the retailer can apply across the rest of its business. Building models around a retailer’s own commercial objectives and data creates the opportunity to develop knowledge that can inform decisions across channels and continue improving over time.

Peak season provides a good example because every retailer enters the period with different priorities. One may need to increase store visits during an important promotional window, while another wants to move seasonal inventory before year-end. Others may be focused on acquiring customers profitably or protecting margin. Even retailers advertising across many of the same channels may therefore need their technology to make very different decisions.

A retailer focused on driving in-store sales, for example, could bring together in-store sales data, promotional calendars, customer profile data and contextually relevant media signals. An AI-powered model can assess those inputs together and continually allocate investment towards the audiences, channels and moments most likely to influence the desired commercial result. As demand, inventory and promotions change throughout the season, the model can adjust alongside them.

We've seen this approach work outside retail as well. For a leading UK FMCG brand, weekly sales data was connected to media delivery at postcode-sector level, allowing an AI-powered allocation model to identify areas with the greatest opportunity for incremental growth. The campaign delivered 2.4x the beer and lager return on ad spend benchmark and 3.75x its incremental sales goal. The model was effective because it had a clearly defined commercial objective and the business data required to make decisions against it.

As marketers prepare for peak season, defining that objective should come early in the planning process. Retailers should identify whether they're prioritizing store revenue, profitable acquisition, inventory movement, margin or another commercial outcome, then assess which existing data can help AI understand and optimize towards it.

As AI becomes embedded throughout marketing and increasingly influences how consumers discover products, competitive advantage will depend on how intelligently retailers connect their technology with their own businesses. The strongest models will learn from a retailer’s customers, commercial priorities and data, creating intelligence that becomes more valuable with every campaign.

Freddie Turner is the managing director for EMEA at Chalice AI, platform-independent advertising AI that drives real world outcomes for your brand — with full transparency.