AI commerce is becoming operational

AI commerce is changing how customers discover and evaluate products.

Arne Jeroschewski’s session at DELIVER Europe 2026 focused on what happens when AI agents become part of the buying journey. Instead of relying only on search, ads or brand familiarity, customers can ask AI tools to research, compare and recommend products based on data.

That shift has major implications for ecommerce logistics. Delivery promise, cost, reliability and customer experience will increasingly become part of how AI systems decide which merchants to recommend.

Competition becomes more transparent

In traditional ecommerce, brands could rely on loyalty, advertising and traffic acquisition to win customers.

AI agents change that dynamic. They can compare products, prices, delivery dates and reviews across a wider set of merchants. That makes competition more transparent and potentially more global.

For retailers, this means an average proposition may become harder to defend. If a brand cannot compete on product, price, delivery speed or trust, it risks being excluded from AI-led recommendations altogether.

Delivery data will influence purchase decisions

The session highlighted expected delivery dates as one of the most important logistics signals in AI commerce.

A vague delivery promise may be acceptable to some human shoppers, but AI agents are likely to favour merchants with clearer, more reliable delivery information. Delivery options also matter. If one merchant offers home delivery, pickup, lockers or other flexible choices while another does not, the AI may favour the more complete proposition.

This makes logistics data part of conversion strategy.

Carrier strategy needs to evolve

AI commerce may require retailers to work with more carriers, more markets and more delivery options.

Rather than choosing a limited set of partners through periodic RFPs, ecommerce teams may need more dynamic carrier selection, smarter routing, cost optimisation and broader international reach. The goal is to offer competitive delivery promises wherever AI-driven demand appears.

That creates a new kind of operational pressure: logistics teams need to be ready for more variability, more comparison and more scrutiny.

Reputation becomes harder to hide

Customer reviews and delivery failures will also become more visible.

If AI agents surface poor delivery experiences, missed promises or negative post-purchase feedback, a single operational weakness can influence many future purchase decisions. The delivery experience is therefore not only a customer service issue. It becomes part of the data layer that shapes future demand.

For retailers, this makes post-purchase performance a strategic asset.

What this means for the DELIVER community

For ecommerce leaders, AI commerce should not be treated as only a marketing or SEO issue.

The logistics organisation will play a direct role in whether AI agents recommend, reject or deprioritise a retailer’s offer. Expected delivery dates, carrier choice, cost control, returns, post-purchase communication and customer reviews all become part of the competitive equation.

For logistics and technology partners, the opportunity is to help retailers build operating systems that connect checkout, delivery, tracking, returns, claims and decision intelligence. In an AI commerce environment, the brands that win will be those that can make their promise clear, reliable and competitive at every stage of the journey.