Retail Differentiation in an Era of Constant Change

Retailers have always had to adapt, but today’s environment tests even the most established organizations. Demands of consistency across markets stem from global expansion as customer expectations continue to rise, and payment preferences are diversifying. As a result, differentiation is no longer just about the right assortment or price. It boils down to how frictionless, reliable and trustworthy the shopping experience feels across every interaction.

According to the LexisNexis® True Cost of Fraud™ Study: North American Retail & Ecommerce, improving customer experience and loyalty ranks as a top business priority for US and Canadian retailer and ecommerce merchants. Balancing building top-line growth with fraud prevention requires a strategy that safeguards the customer experience while staying ahead of evolving threats. As synthetic identities, identity-related fraud and bot attacks continue to rise, fraud can hinder the customer experience by forcing businesses to add friction at critical moments, such as during account creation and purchases.

When we include operational disruption, customer churn and reputational damage, every dollar lost to fraud now costs US retailers $4.61 USD and Canadian retailers $4.52 USD, according to the study. Retail growth strategies that overlook trust are increasingly vulnerable.

What Is Agentic Commerce and Why It Matters Now

Retailers have begun to experiment with agentic commerce, a service in which an AI agent acts on behalf of consumers to research products, compare options and complete their purchases. For merchants, using AI agents has become a way to reduce potential friction between discovery and checkout and embed commerce into conversational environments.

This has led to creating new touchpoints beyond traditional websites and apps. Larger retailers are exploring these new technologies, even in their early stages using platforms like OpenAI/Chat GPT, Google, among others, signaling a shift in the retail landscape. For instance, Google has begun rolling out agentic checkout capabilities within AI Mode and Gemini, including a ‘Buy for me’ feature that allows AI agents to execute purchases on merchant sites for a limited set of US retailers.

In a world where commerce is becoming increasingly automated, trust is no longer a back-end function. It is the front line of differentiation. Retailers who embed security seamlessly into the customer journey will define the next era of growth.

The agentic commerce ecosystem is currently fragmented, with multiple platforms and emerging standards developing in parallel. OpenAI, Stripe, Google and others are introducing tools, APIs and protocols that approach payments, authentication and data exchange differently, while crypto-native initiatives such as Coinbase’s x402 explore new transaction models.

For retailers, this moment should feel familiar. Payments, wallets and digital checkout went through similar fragmentation before standardization emerged. Over the next two to five years, consolidation is likely.

The Security and Fraud Challenges That Come with Agentic Commerce

In the near term, agentic commerce will introduce new risk considerations. AI-driven purchasing increases the attack surface by adding delegated authority, automated decision-making and new payment flows. Identity verification, already the top fraud challenge across account creation, checkout and login, becomes even more critical when an agent is acting on a shopper’s behalf. Identity-related fraud already accounts for up to 45% of fraud cases during US ecommerce purchase transactions.

Retailers also know that security can easily undermine conversion if applied bluntly. Over 60% of US retail and ecommerce businesses report increased customer churn tied directly to fraud prevention measures. Payment restrictions alone contribute to abandonment rates as high as 42%. In an agentic commerce environment, where customers expect automation and speed, poorly tuned controls risk breaking the experience entirely.

Investing Beyond Agentic Commerce: The Next Phase of Retail Innovation

The smarter approach is for retailers to invest in capabilities that improve trust and minimize friction across payments and checkouts, rather than building specifically for agentic commerce.

Retailers can implement risk-based strategies to authenticate shoppers through digital identity risk assessment, behavioral intelligence, email and phone risk assessment, and continued investments in authentication mechanisms like two-factor authentication and digital credential issuance and authentication allowing a shopping experience with minimal friction. Retailers can apply these capabilities whether transactions start on a website, mobile app or AI-driven interface.

AI-driven models can adapt authentication and payment controls dynamically based on context and risk. That flexibility matters. Machine learning technologies have gained traction by helping retailers use risk signals to manage first-party fraud, synthetic identity fraud and emerging payment threats simultaneously. However, around 40% of businesses still rely heavily on manual fraud prevention.

Agentic commerce may still be in its early stages, but the lesson for retailers is already clear: Retailers must build trust into the experience from the start. Retailers that center customer protection in every innovation decision, balancing security with simplicity, will be better positioned to protect conversion, scale globally and meet shoppers wherever the next generation of commerce takes shape. By investing in layered, intelligent risk solutions, retailers can turn security from a potential source of friction to one that acts as a strategic asset that enables better customer experiences.