Agentic AI will reward strong brands built on trust, evidence and customer connection. Mediocre brands will perish

Host: Andrew Birmingham, Editor - CX | Martech | Ecom

Agentic commerce is about to redraw the shopping journey. AI is moving beyond search and recommendation to evaluate products, weigh trade-offs and increasingly make decisions on the customer’s behalf.

For brands, a chatbot and a few tweaks for AI search will not cut it. Winning will require trusted data, credible evidence and enough brand strength to ensure the machines do not reduce everything to price.

In the latest edition of the Mi3 Market Voice podcast, Accenture Song Senior Managing Director and Global Commerce Practice Lead, Rajat Agarwal, joins Mi3 technology editor Andrew Birmingham to explain why AI agents could transform consumer behaviour faster than the original shift to e-commerce.

Digital commerce solved the problem of access, then replaced it with the problem of abundance. Consumers can find almost anything, but they are often left wading through endless options, dubious claims and reviews they do not entirely trust before abandoning the purchase anyway.

Agarwal says agents could break that cycle by understanding what the customer is actually trying to achieve, testing the available evidence and cutting the field down to a smaller set of credible choices.

The most immediate change will be a move from search-and-browse journeys towards intent-based commerce. Fully autonomous transactions remain at an early stage, but Agarwal expects customers to give agents greater authority as their confidence increases.

That development creates a sharper divide between brands with genuine emotional connections and those that rely primarily on broad positioning. Consumers may continue to ask agents for favoured brands, but weaker brands will increasingly be assessed through price, promotion, availability, features and supporting evidence.

“Mediocrity will evaporate,” says Agarwal who argues that brands without a strong connection to customers risk becoming commodities selected by agents according to functional attributes. “However, brands which still have the right emotional connection with the customer will continue to thrive and to do well.”

This episode also explains why agentic commerce cannot be left to a specific functional or local team or treated as another optimisation programme. Agents may draw on product pages, ratings, reviews, community discussion, video, pricing, inventory and other internal and external sources. Brands need consistent, structured and credible information across that entire environment.

Agarwal advises companies to begin with the customer journeys they want to win. They should then identify the evidence an agent will need, create the supporting knowledge graph, improve product-information and digital-asset systems, distribute the information consistently and measure whether the strategy is working.

Starting with a generic AI-visibility score can produce the wrong result. Agarwal cites a fashion business that appeared to perform strongly in agent discovery but was being associated with discounts and value rather than fashion, inspiration and style.