Agentic Commerce: 4 AI Strategies Changing the Retail Game

Have you ever wondered what happens when artificial intelligence doesn't just suggest products, but directly guides customers to your store? As the boundary between "search" and "shopping" gradually disappears, a silent revolution is taking place in the global retail industry.

That revolution is called: Agentic Commerce. And giants like Walmart, Shopify, Sephora, and Gap are quietly testing completely different strategies to gain an advantage. Some spend millions to build their own proprietary AI. Others simply optimize product data and let the platform handle the rest.

Notably, they have all learned a hard lesson from Walmart's failure: do not try to sell products directly inside the AI interface. Instead, let AI handle the discovery phase, while you maintain full control over the checkout process and customer relationships.

Let's dissect each strategy and model together so you can find the most suitable path for your business.

What is Agentic Commerce and Why Does It Matter?

Agentic Commerce is a commerce model where AI agents—smart assistants like ChatGPT, Google Gemini, or specialized chatbots—take on the role of searching, recommending, and connecting customers with products. Instead of users having to browse the web, compare prices, and read reviews themselves, they simply describe their needs in natural language, and AI does the rest.

The key point is: AI does not replace retailers. AI only takes care of the product discovery phase. Once the customer has chosen the desired item, the payment, delivery, return, and customer service processes still belong to the retailer. This is the biggest lesson Walmart had to pay dearly to realize.

Strategy 1: Walmart – Building a proprietary agent, but no in-AI selling

Walmart once tested the Instant Checkout feature, which allowed customers to pay right inside the AI interface. The result? Failure. The lesson learned: customers do not want to execute financial transactions inside a chat window.

Instead of giving up, Walmart built Sparky—their own AI shopping assistant—and integrated it into ChatGPT and Google Gemini, places where customers are already present every day.

How it works is simple yet effective:

• A customer asks ChatGPT: "Are there any good air fryers under $80?"
• Sparky (Walmart's agent inside ChatGPT) responds with Walmart products.
• The customer selects a product and clicks "Buy at Walmart".
• They are redirected to the Walmart.com checkout page, fully applying Walmart+ discounted pricing, taxes, and return policies.

Takeaway: Walmart did not abandon AI commerce. They simply reshaped where AI delivers real value. AI handles search and recommendations. Walmart handles every step after the customer clicks. This is a model that requires high investment—dedicated AI teams, API infrastructure, and regular maintenance—making it feasible only for large-scale retailers.

Strategy 2: Shopify – Democratizing Agentic Commerce for every seller

If Walmart chose the expensive path, Shopify chose the opposite: making Agentic Commerce accessible to more than 4 million merchants on its platform.

Shopify created agentic storefronts—an AI technology layer that powers automated search for all merchants. How it works:

• AI agents search through millions of product catalogs from all Shopify merchants.
• Products with complete and accurate data rank higher in AI recommendations.
• When a customer chooses a product, the checkout flow leads back to that specific merchant's Shopify store.
• Sellers retain their own branding, customer data, relationships, and checkout experience.

Takeaway: Shopify has popularized AI commerce. You don't need a $5 million AI budget. You just need quality product data on Shopify, and the platform takes care of the rest. This is a low-investment model suitable for small and medium-sized businesses.

Strategy 3: Sephora – When AI understands your skin better than you do

Sephora didn't build a generic chatbot. They created Sephora GPT, a personalized beauty advisor deeply integrated into the Beauty Insider loyalty program.

How it works:

• Customers open Sephora GPT within ChatGPT.
• The AI understands the customer's skin type, purchase history, allergen ingredients, and membership tier.
• The customer asks: "I need a new moisturizer—my skin has been dry since winter."
• The AI returns personalized suggestions from Sephora's product catalog.
• Checkout happens on Sephora.com, fully credited with Beauty Insider points and member-exclusive pricing.

Takeaway: When your product requires specialized knowledge—beauty, health, fashion, electronics—AI personalization becomes a competitive advantage, not just a convenience. Sephora's AI provides better recommendations than searching the website manually because it has specific contextual information. This is a medium-to-high investment model suitable for brands with strong loyalty programs.

Strategy 4: Gap – Simple presence with surprising effectiveness

While Walmart, Shopify, and Sephora build complex systems, Gap chooses the simplest approach: putting products on Google Gemini via UCP (Universal Commerce Platform).

No custom apps. No chatbots. No dedicated AI team. Just product data compatible with UCP.

How it works:

• A customer asks Gemini: "Show me casual summer dress options under $60."
• Gemini displays Gap's products alongside competitor items, complete with accurate pricing and stock availability.
• The customer clicks a link to visit gap.com and complete the purchase.

Takeaway: Sometimes the best strategy is simply presence. Gap didn't build any custom systems—they just made their product data compatible with UCP and let Google handle connecting customers to products. For most businesses, this is the ideal starting point. Low investment requires only Schema.org markup and an accurate product feed.

Which strategy should your business choose?

There is no one-size-fits-all answer. The right strategy depends on your scale, industry, and resources. Here is a summary table for your reference:

Business Type	Matching Strategy	Reason	Priority Action
Shopify Store	Shopify Agentic Storefront	Automatically set up for all merchants	Complete product data
Amazon/Etsy Seller	Platform Integration	Amazon and Etsy handle UCP for you	Optimize titles, descriptions, images
Independent Website (Small scale)	Gap Model (Google UCP)	Lowest cost, widest reach	Schema.org markup + Google Merchant Center
Independent Website (Large scale)	Sephora Model (Custom AI)	Differentiation through personalization	Build a loyalty program
Large-scale Retailer	Walmart Model (Proprietary agent)	Full control over discovery and checkout	Dedicated AI team, API infrastructure

The core common ground of all Agentic Commerce strategies

No matter which model you choose, there is an unchanging principle: AI handles product discovery, and retailers handle checkout.

Following Walmart's failure with Instant Checkout, the industry has agreed on one perspective: no one is trying to sell directly inside the AI interface anymore. Instead, they find ways to be recommended by AI—and guide customers back to their own stores to complete actual transactions.

The reason is clear: retailers hold the brand, loyalty program, customer data, and return process. AI is just a bridge. And bridges can be replaced. Customer relationships, however, cannot.

The future of retail lies in conversational interfaces

Agentic Commerce is no longer a distant concept. It is happening right now, led by giants like Walmart, Shopify, Sephora, and Gap. And the good news is you don't need a massive budget to join the game.

If you run a small shop, start with the Gap model: ensure your product data is compatible with Google UCP. If you use Shopify, take advantage of the agentic storefront—it's already set up for you. If you have a strong loyalty program, the Sephora model can be a strategic move to differentiate yourself.

The most important thing is not choosing the most flawless model, but starting today. Because when AI becomes the default gateway for customers to discover products, businesses that lack a presence in conversational interfaces will gradually fade from consumer minds.

Is your business ready for Agentic Commerce? Which model are you leaning toward—building your own AI like Walmart, leveraging a platform like Shopify, deeply personalizing like Sephora, or simply maintaining a Google presence like Gap? Share your thoughts below so we can discuss the future of retail in the AI era together!