Most Loyalty Programs Aren't Ready for AI Agents. Is Yours One of Them?

The last few weeks have been saturated with media coverage and analyst reports about the impact of agentic commerce on retail. As AI agents evolve from answering questions to making actual purchase decisions, retailers are reckoning with a new reality - and reacting. Here are just a few examples of retail brands that are actively integrating agentic commerce concepts into their operations: 

• Loblaw Companies Limited just launched a first-of-its-kind PC Express app inside ChatGPT. It allows customers to plan high-protein meals or birthday parties within the chatbot and then seamlessly "push" those ingredients to the PC Express basket for checkout.
• Woolworths Group is evolving its digital assistant, Olive, into a Google Gemini-powered shopping companion. Rather than simply answering FAQs, Olive is becoming an intuitive partner that, with customer consent, can plan meals, interpret handwritten recipes, and "spot the specials that matter to your budget" to build a basket autonomously.
• Albertsons is exploring conversational advertising deployed through ChatGPT as part of a larger effort to integrate agentic and generative AI tools into its operations. The grocer expects this pilot program with OpenAI, alongside its own embedded agentic AI shopping assistant, to enhance the customer journey and grow its engagement with its customers.
• Target and its retail media business, Roundel, are participating in the same pilot with OpenAI to test contextual advertising based on users’ ChatGPT prompts. Like Albertsons, Target’s foray into conversational AI advertising is part of a broader effort to expand the retailer’s presence in AI-driven shopping tools. 

But one of the biggest unanswered questions surrounding the rise of agentic commerce is its impact on loyalty. Does the human customer’s loyalty to a retailer or brand factor into agentic shopping decisions? What role do loyalty programs play when an AI agent is choosing where to shop and for what?

For loyalty programs, these are existential questions, and the industry is scrambling to answer them. But here's what most platforms miss: if your program can't respond in real time today, it has no foundation for tomorrow's agent-driven world.

The Shift From Memory to Milliseconds

Traditional loyalty programs have long relied on their customers’ memories. Remember your points balance. Remember to activate that offer. Check the app before checkout. This friction was sometimes intentional, designed to create barriers to redemption and protect program economics through breakage, but that doesn’t add value for customers.

AI agents will eliminate this entirely. They don't forget. They don't need to check an app. They calculate optimal value across every available program instantly. AI agents do this in the same way they make all shopping decisions, by evaluating all the data shared by retailers through APIs and ecommerce storefronts, then mapping that to the user’s criteria (e.g., a specific prompt, a shopping list, a recurring restock request). Clearly, this process hinges on how much data retailers make available to AI agents; not just SKUs and prices, but offers, promotions and loyalty data.  

In the Woolworths/Google plan announced at the annual NRF conference in January, Olive makes judgments in the shopper’s best financial interest in the moment, effectively acting as a transaction-level fiduciary. When a shopping agent reviews a cart, it queries tier status, point balances and offer eligibility in the milliseconds before checkout. If a customer is just shy of a threshold - say, spending $45 when a "Spend $50, Get $5 Off" offer is active - Olive identifies that gap and will suggest a $5 add-on to secure the discount. 

If your loyalty engine can’t verify that offer during the agent's API call, the agent will simply optimize for the lowest shelf price elsewhere. If your platform can’t adjudicate in that window, your program is invisible to the agent.

Why Most "Personalized" Programs Will Fail

Here's the reality today: most loyalty platforms claiming to offer personalization are actually just running sophisticated segmentation on batch cycles, i.e., weekly refreshes, overnight processing, or offers that update every few days.

That worked fine when humans were making decisions. But it’s completely inadequate when machines are. Google’s roadmap highlights a shift toward Agentic Consent, in which customers permit agents to automatically "unlock" member-only pricing for a personalized offer. This creates a high-stakes environment: if your platform lags while verifying a member ID, the agent may default to a competitor whose API is faster.

In order to be competitive and enable personalized decision-making, loyalty programs need to offer AI agents three things:

1. Simplicity: Machine-readable rules with no hidden terms.

2. Speed: Sub-second response times during peak traffic.

3. Instantaneous Accuracy: Real-time balance verification and offer adjudication. 

Delivering on these three criteria will require loyalty programs to update their infrastructure to continue offering the personalized offers and experiences their members expect. Speed will be the differentiator when an AI agent is the intermediary.  

Building Loyalty for the Pace of Agentic Commerce

The solution for retailers is to invest in loyalty and personalization platforms that prioritize speed. It also helps to have a technology partner that anticipated the shift to agentic commerce and built out the capabilities necessary to meet it.  

At Eagle Eye, for example, we've been obsessed with real-time performance since our founding, and as consumer expectations for instant retail interactions accelerated to the speed of AI, we kept pace. Our real-time personalization platform, powered by Google Cloud, can handle the issuance and redemption of thousands of completely personalized offers in a second, across all channels, including in-store.

That same infrastructure that enables real-time personalization for humans is exactly what AI agents like Olive will query. The difference is that agents will demand it every single time, not just during your promotion windows. 

Meeting that agent-driven demand will require a platform capable of:

• Real-time offer issuance based on live customer behavior and context.
• Real-time offer redemption at checkout, online and in-store.
• Sub-150ms response times at true peak loads.
• 1:1 Personalization at an individual customer level, not segment pools.

Loyalty and personalization platforms that don’t offer these capabilities will leave retailers lagging in the age of agentic commerce.

The Questions Every Loyalty Leader Should Be Asking

As AI agents start making more purchase decisions, loyalty programs’ utility will shift from inspiring an emotional reaction to delivering immediately recognizable value. Machine logic doesn’t directly feel the anticipatory rush of getting a few points closer to an accumulation goal, but it can still factor it in - if implemented properly - and assign some value to it.  To identify if your platform is truly ready for this kind of instant, agentic assessment, ask your technical team these two litmus-test questions: 

#1. For "in-the-moment" issuance:

Can our system detect a customer’s unique context — like their current location, weather, or the specific items they just added to their digital basket — and issue a 1:1 personalized offer specifically for that moment, before they reach the checkout?

#2. For real-time redemption:

 Can our system validate and apply a personalized discount (like a “$5 off $50” offer only available to a subset of customers) in under 150 milliseconds while handling 5x our usual Black Friday traffic?

If your platform processes offers overnight or relies on "near real-time" syncs that take seconds or even minutes, your program was built for yesterday’s world. In the age of agentic commerce, a 10-second delay might as well be a 10-day delay — the agent has already moved on. As Dunnhumby’s The Science of Shopping newsletter puts it, “loyalty benefits should be easy for agents to evaluate and factor into decisions,” and the speed with which those benefits are exposed to agents is often the critical factor. Milliseconds matter. 

The foundation for agentic commerce is real-time personalization. Not as a feature but as infrastructure. For retailers grappling with how their loyalty strategies fit into this moment, having the right technology partner can make all the difference.  

Eagle Eye is just such a partner. When you’re ready to upgrade your loyalty infrastructure to support the speed of agentic commerce, let’s talk.