What is AI commerce in retail real estate? AI commerce is the use of artificial intelligence platforms like ChatGPT, Google Gemini, and branded AI assistants to discover, compare, and purchase products through conversational interfaces rather than traditional e-commerce websites or in-store visits. On March 24, 2026, Walmart revealed a critical data point that every CRE retail investor should understand: products sold directly inside ChatGPT converted at one third the rate of those that redirected users to Walmart's website. This finding, shared by Walmart EVP of AI Acceleration Daniel Danker, is reshaping how the world's largest retailer and its competitors approach AI powered shopping, with direct implications for brick and mortar retail real estate, foot traffic patterns, and the future of omnichannel strategy. For a comprehensive look at how AI is transforming the broader real estate landscape, see our complete guide on AI tools for real estate investors.
Key Takeaways
- Walmart revealed that ChatGPT in-app checkout converted at one third the rate of its own website, prompting OpenAI to pivot away from Instant Checkout entirely.
- Major retailers including Target, Sephora, Nordstrom, Best Buy, Home Depot, and Wayfair are now building branded AI shopping apps inside ChatGPT's ecosystem.
- The 3x conversion gap suggests physical retail and established e-commerce channels remain far more effective for closing transactions than pure AI interfaces.
- CRE retail investors should view AI commerce as a discovery and traffic generation channel, not a replacement for stores, which reinforces the value of well located retail assets.
- OpenAI's Agentic Commerce Protocol now connects merchants to ChatGPT's 900 million weekly active users, creating a new layer of product discovery that drives traffic to both digital and physical storefronts.
The Walmart Experiment: What Happened Inside ChatGPT
OpenAI launched Instant Checkout in late 2025 as its first foray into AI powered transactions. The feature allowed ChatGPT users to purchase products from retailers like Walmart, Etsy, and Shopify merchants without leaving the chat interface. OpenAI positioned it as the next step in AI enabled commerce, a frictionless experience where a conversational recommendation would seamlessly convert into a completed purchase.
The reality proved far more complicated. According to CNBC, Walmart's EVP Daniel Danker stated at the Morgan Stanley Tech, Media and Telecom conference on March 4 that in-chat purchases converted at one third the rate of click-out transactions that sent users to Walmart's website. He called the in-chat checkout experience "unsatisfying" and confirmed Walmart was pivoting away from it. By March 24, OpenAI announced it was discontinuing Instant Checkout entirely and replacing it with a new model: branded in-app experiences built by the retailers themselves.
This pivot matters enormously for CRE retail investors. If AI commerce had proven more efficient than traditional retail channels, it would have accelerated the decline of physical stores by removing the last friction point between product discovery and purchase. Instead, the data shows the opposite: consumers still prefer completing transactions through established channels, whether that means clicking through to a retailer's website or, by extension, visiting a physical store.
The New Model: Branded AI Shopping Experiences
Walmart's replacement strategy is telling. Rather than letting ChatGPT handle the transaction, Walmart is embedding its own AI assistant, Sparky, directly inside ChatGPT. Users who discover products through ChatGPT conversations will enter a Walmart branded environment where they can link their Walmart accounts, access loyalty programs, and complete purchases through Walmart's own payment system. This Sparky within ChatGPT integration began rolling out the week of March 25, 2026.
Walmart is not alone in this approach. According to Retail Dive, leading retailers now building branded in-app experiences for ChatGPT include Target, Sephora, Nordstrom, Lowe's, Best Buy, The Home Depot, and Wayfair. Sephora is launching a ChatGPT app that integrates loyalty programs and personalized recommendations, with in-app checkout planned for the future. A similar Walmart integration with Google Gemini is expected next month.
For CRE investors, this signals something critically important: the major retailers are doubling down on brand controlled commerce experiences, not ceding their customer relationships to AI platforms. This is the same strategic logic that drives retailers to maintain flagship stores, invest in experiential retail, and resist marketplace disintermediation. When the world's largest retailer chooses to embed its own branded shopping experience inside an AI platform rather than let the AI handle the transaction, it reinforces the enduring value of brand controlled retail touchpoints, including physical stores.
What the 3x Conversion Gap Means for Retail Real Estate
The conversion data from Walmart's ChatGPT experiment provides the first empirical evidence for a thesis many CRE retail investors have held intuitively: AI will change how consumers discover products but will not replace the channels where they actually buy them. The implications are significant for several categories of retail real estate.
Grocery Anchored and Essential Retail
Walmart operates approximately 4,700 stores in the United States, serving as the anchor tenant for thousands of shopping centers. The company's decision to use ChatGPT as a discovery channel while maintaining its own transaction infrastructure suggests that physical stores remain central to its strategy. Walmart's investment in curbside pickup, in-store fulfillment for online orders, and same day delivery all depend on the physical store network. AI commerce reinforces this model by driving additional product awareness that ultimately funnels through Walmart's owned channels, both digital and physical.
Experiential and Specialty Retail
Sephora's integration with ChatGPT includes personalized product recommendations based on skin type, preferences, and purchase history. However, the company is maintaining in-store experiences like Color IQ skin matching and fragrance testing that AI cannot replicate. For CRE investors in lifestyle and specialty retail centers, this validates the strategy of curating tenants who offer experiences that drive store visits. AI becomes the top of funnel that generates interest, while the physical store closes the sale. CRE sales volume is forecast to increase 15 to 20% in 2026 (Source: industry research), and experiential retail assets are capturing a growing share of investor allocations.
Big Box and Home Improvement
Home Depot and Lowe's joining ChatGPT's commerce ecosystem is notable because home improvement retail has traditionally been resistant to pure e-commerce disruption. Consumers overwhelmingly prefer to see, touch, and compare building materials, appliances, and fixtures in person before purchasing. AI can help a homeowner identify what type of kitchen faucet they need, but the conversion will almost certainly happen in-store or on the retailer's own digital platform. The 3x conversion gap Walmart measured is likely even wider for home improvement categories.
AI Commerce as a Discovery Engine, Not a Transaction Engine
The emerging consensus from March 2026 data is that AI's primary role in commerce is product discovery and recommendation, not transaction completion. This distinction is critical for CRE retail investors trying to model the impact of AI on foot traffic and tenant sales productivity.
OpenAI's Agentic Commerce Protocol now connects merchants directly to ChatGPT's 900 million weekly active users. When a user asks ChatGPT "what's the best air purifier for a 500 square foot apartment?" the system can surface specific products from connected retailers with pricing, reviews, and availability. But the data shows that users then want to complete the purchase through familiar, trusted channels, whether that is the retailer's website, their mobile app, or a trip to a nearby store.
This discovery-to-conversion pipeline actually benefits well located retail real estate. Physical stores positioned in high traffic locations gain an additional layer of product awareness through AI channels that did not exist a year ago. A consumer who asks ChatGPT about running shoes and sees Nike, Adidas, and New Balance recommendations from multiple retailers is more likely to visit a nearby sporting goods store to try on options, not less likely. For a deeper look at how ChatGPT advertising partnerships are reshaping retail, see our earlier coverage of the Criteo integration.
92% of corporate occupiers have initiated AI programs (Source: CBRE), and retail operators are among the most aggressive adopters. However, only 5% report achieving most AI program goals, suggesting the industry is still early in figuring out how AI fits into existing business models. The Walmart conversion data provides a concrete example of this: the technology works brilliantly for discovery but falls short on transaction completion, creating a clear division of labor between AI and physical retail.
Investment Implications for CRE Retail Portfolios
CRE retail investors should adjust their thesis around AI commerce based on three key insights from the Walmart and ChatGPT data.
First, AI commerce strengthens the case for necessity based and experiential retail real estate. Properties anchored by grocery, pharmacy, home improvement, and experiential tenants benefit from AI driven product discovery without facing AI driven transaction disintermediation. The tenants using ChatGPT and Gemini for product recommendations are the same tenants who need physical stores to fulfill those recommendations.
Second, tenant AI sophistication is becoming a lease evaluation factor. Retailers who invest in branded AI experiences, whether through ChatGPT apps, Gemini integrations, or proprietary AI assistants, are positioning themselves to capture AI driven demand. CRE investors evaluating prospective tenants should ask about AI commerce strategy alongside traditional metrics like sales per square foot and same store growth. For related analysis on how Google's agentic commerce push affects retail CRE, see our earlier coverage.
Third, the AI in real estate market, projected to reach $1.3 trillion by 2030 at 33.9% CAGR, will increasingly flow through retail touchpoints. The retailers building ChatGPT and Gemini integrations today, including Walmart, Target, Sephora, and Home Depot, are the anchor tenants of tomorrow's AI augmented shopping centers. CRE investors should favor properties leased to tenants who are actively investing in AI commerce infrastructure. If you are ready to position your retail portfolio for the AI commerce era, The AI Consulting Network specializes in exactly this analysis.
What Comes Next for AI Commerce and Retail CRE
The next twelve months will see rapid iteration in AI commerce. Walmart's Gemini integration launches in April 2026. Sephora's in-app checkout within ChatGPT is expected by mid-year. OpenAI's Agentic Commerce Protocol will continue expanding its retailer network. Each of these developments generates data about consumer behavior that CRE investors can use to refine their retail investment strategies.
The data from Walmart's ChatGPT experiment suggests that AI driven discovery platforms, whether ChatGPT, Google Maps, or Apple Maps, are becoming the new front door for retail. But the store, both digital and physical, remains where the sale happens. For CRE retail investors, this is a fundamentally bullish signal for well located, well tenanted retail real estate. CRE investors looking for hands on AI implementation support can reach out to Avi Hacker, J.D. at The AI Consulting Network for personalized guidance on evaluating how AI commerce will affect your specific retail portfolio.
Frequently Asked Questions
Q: Will ChatGPT replace in-store retail shopping?
A: No. Walmart's data shows ChatGPT in-app checkout converted at one third the rate of its own website. AI is proving far more effective as a discovery and recommendation engine than as a transaction platform. Physical stores remain essential for product evaluation, immediate fulfillment, and experiences that AI cannot replicate. The major retailers are investing in AI commerce as an additional traffic channel, not a replacement for stores.
Q: How does AI commerce affect retail foot traffic?
A: AI commerce is emerging as a new product discovery layer that can increase awareness and drive consumers toward both digital and physical retail touchpoints. When ChatGPT recommends specific products from connected retailers, consumers often complete purchases through the retailer's own channels, including store visits. Early evidence suggests AI discovery adds incremental traffic rather than diverting it from stores.
Q: Which CRE retail property types are most insulated from AI commerce disruption?
A: Grocery anchored centers, experiential retail, and home improvement properties are the most insulated. These property types offer experiences, including product testing, immediate pickup, and personalized service, that conversational AI cannot replicate. Properties anchored by retailers actively building AI commerce integrations, such as Walmart, Target, Sephora, and Home Depot, are particularly well positioned.
Q: Should CRE investors factor AI commerce strategy into tenant evaluation?
A: Yes. Tenants investing in branded AI commerce experiences through ChatGPT, Gemini, and proprietary AI assistants are positioning themselves to capture AI driven demand. CRE investors should evaluate prospective tenants' AI strategies alongside traditional metrics like sales per square foot. Tenants with strong AI commerce infrastructure are more likely to sustain traffic and sales growth in the evolving retail landscape.
Q: What is OpenAI's Agentic Commerce Protocol and why does it matter for retail CRE?
A: The Agentic Commerce Protocol is OpenAI's framework that connects retailers directly to ChatGPT's 900 million weekly active users. Retailers share product feeds, pricing, and promotions so their catalogs are fully represented in ChatGPT conversations. For CRE investors, this creates a new discovery channel that drives traffic to retailer owned platforms and physical stores, reinforcing the value of well located retail assets tenanted by ACP connected retailers.