Adyen: Unified Commerce and Navigating the Shift to Agentic AI Shopping

At the Retail Technology Show event, the evolution of customer-facing touchpoints highlighted a critical reality: consumers expect absolute consistency when interacting with brand ecosystems, whether standing at a physical point of sale (POS) or browsing on a smartphone. Angus Blest, Head of Commercial UK & IRL at Adyen, outlined how the company positions its platform across the checkout optimization, payment aggregation, and artificial intelligence layers of the modern retail journey.

As retailers look to future-proof their operations, bridging the gap between legacy channel silos and emerging AI-driven shopping proxies has transitioned into a major corporate priority.

1. Simplifying Checkout Channels While Expanding Alternative Payment Choice

The structural design of the modern checkout experience is undergoing an extensive overhaul. Historically, retail operations maintained highly disparate, siloed payment pipelines for different storefront mediums—isolating online web checkouts, mobile application processing, and physical in-store point-of-sale systems into disconnected backend networks.

Today, Adyen is helping retailers respond to a fundamental shift where businesses and consumers alike demand a single, highly consistent checkout experience across all touchpoints, regardless of the explicit shopping channel utilized.

This drive for consistency extends past the physical user interface to reshape how payment methods are managed. Specialized alternative payment methods (APMs) that were historically confined to web browser plugins or digital wallets—such as Buy Now, Pay Later (BNPL) schemes—are being ported directly onto physical retail floors.

By unifying their payment infrastructure, Adyen enables retailers to meet modern shopper expectations. Customers can interact with a common interface and select their preferred payment methods fluidly across all digital and brick-and-mortar sales channels, maximizing convenience without introducing backend administrative friction.

2. The Next Wave: Preparing Technology Stacks for Agentic Commerce

The most significant disruptive shift sweeping through the retail payments industry today is the emergence of agentic commerce. Retail executives are intensely focused on evaluating how autonomous AI agents will integrate into the typical customer shopping journey. While the retail sector is universally eager to discuss agentic applications, most organizations do not yet possess a clear, concrete operational execution strategy.

To prepare clients for this imminent technological shift, Adyen is embedding agentic commerce capabilities directly into its product roadmap. The company emphasizes that businesses must proactively re-engineer their underlying core technology stacks to ensure they are agile enough to adapt to an AI-driven market.

According to Blest, the critical first stage that retailers must execute to prepare for this transition involves transforming how products are categorized and surfaced online. Instead of building catalogs solely for human consumers using search engines, retailers must format and expose their inventory data so that autonomous AI agents can seamlessly discover, analyze, and purchase items on behalf of the end user.

Structuring infrastructure around this machine-to-machine paradigm allows forward-thinking brands to capture early market share in the emerging era of automated AI commerce.

Key Highlights from Angus Blest:

• Eradicating Fragmented Checkouts: Blest details how retail operations are moving away from disconnected web, mobile, and in-store payment setups to deliver a highly consistent checkout experience across all channels.

• Cross-Channel Payment Portability: Online-first payment mechanisms, such as Buy Now, Pay Later (BNPL), are moving into brick-and-mortar storefronts to satisfy evolving customer preferences.

• The Rise of Agentic Commerce: Identifying the integration of autonomous AI agents into the retail lifecycle as the most significant, disruptive macro shift in the market.

• The Stack Flexibility Mandate: Retailers must modernize their foundational IT infrastructure to ensure they have the structural flexibility to adapt to changing AI ecosystems.

• Bypassing the Traditional Search Engine: Modern product discovery will increasingly rely on autonomous software agents finding items for consumers, rather than shoppers typing into legacy search bars.

• Exposing Inventory to AI: The baseline requirement for modern digital retail is ensuring that product data is structured correctly for rapid indexing and ingestion by AI agents.