Buy-side agentic commerce overview
- Buy-side agentic commerce is a shopper's own AI agent finding, comparing, and buying products for them across many sellers at once.
- Shoppers already use these agents through AI assistants like ChatGPT and Microsoft Copilot, agentic browsers like Perplexity's Comet, and marketplace tools like Amazon's Rufus.
- For a business, the shopper's agent becomes a new kind of customer to win, one with no brand loyalty and no patience for missing product data.
What is buy-side agentic commerce?
Buy-side agentic commerce is a shopper's own AI agent finding and buying products for them. The agent takes the shopper's goal, such as a budget and delivery date, and searches across retailers. It compares the options, then completes or prepares the purchase within limits the shopper sets.
It's one of the 2 sides of agentic commerce. On the other side is sell-side agentic commerce, where a business's own AI agent helps shoppers and their agents choose from its catalog.
3 traits separate a buy-side agent from a retailer's on-site shopping assistant:
- It works for the shopper, so its job is the best outcome for that person rather than for any one store.
- It carries the shopper's mandate, the budget, preferences, and approval rules the shopper set before the agent started looking.
- It acts across many sellers, comparing a dozen stores' prices and delivery dates in the time it takes a person to open one product page.
That changes who a business has to persuade. A person can be won over by a well-designed product page, but a shopper's agent judges every store by the same data at the same time. It has no loyalty to the brand the shopper liked last year unless the shopper tells it to.
What are the types of buy-side agents?
Buy-side agents come in 4 main forms today, and they differ mostly in where the agent lives and how far it can go without the shopper. All 4 are built on agentic AI, which can plan and take steps toward a goal instead of only answering questions.
The same model is starting to show up in business purchasing, where a company's procurement agent buys supplies within its purchasing policy. Most buy-side activity today, though, is consumer shopping.
An agent funded by ads or referral fees has a reason to favor sellers that pay it. One the shopper or their employer pays for answers only to that buyer, so winning an agent's recommendation can depend on the platform's incentives as much as on the product.
What can buy-side agents do?
Most shoppers let buy-side agents research and compare, but few let them finish a purchase alone. Across 7 markets, 74% of shoppers open to AI shopping would let an agent compare prices, but only 21% would let it complete a purchase on its own. And 59% would require approval for every purchase, according to Global Payments' 2026 agentic commerce research.
Our own consumer research points to the same gap between using AI and trusting it. The Delight AI Index surveyed 1,001 US consumers and found that 71% already use AI customer service. Only 57% like it.
The gap between comparing and buying shows up as 3 levels of autonomy:
- Research only, where the agent compares options and recommends one, and the shopper buys it.
- Buy with approval, where the agent builds the cart and the shopper confirms the total, the way Google's agentic checkout and Meta's Muse work today.
- Buy within a mandate, where the agent buys on its own inside preset limits, such as Rufus Auto Buy purchasing an item once it hits a target price.
For a business, the approval step is where the sale is still open. Between the agent's shortlist and the shopper's yes, a store that can confirm a delivery date or offer a bundle in that conversation can still win the order.
What are retailers saying about buy-side agentic commerce?
Retailers are telling Delight.ai that buy-side agents are both a new place to sell and a threat to how shoppers find them.
At Delight.ai, we build AI agents for retail, travel, and marketplace brands, so we hear how these teams are reacting firsthand. Among the businesses that raised shoppers' AI assistants with us in 2026, 4 concerns came up again and again.
The discovery shift is already measurable for some of these brands. One ecommerce retailer estimated that roughly 30% of its shoppers' product discovery now starts in an AI assistant, before those shoppers ever reach Google.
The most common response is a brand-owned shopping agent. About 6 in 10 of these businesses are building or evaluating a sell-side agent of their own. That way, a shopper or a shopper's agent can get answers from the brand directly instead of only through a third-party assistant.
How does a buy-side agent decide what to buy?
A buy-side agent decides what to buy by comparing the facts it can read and verify across every seller it checks. That usually means structured product data, live price and stock, delivery dates, and reviews. Page design and brand storytelling carry far less weight with agents than they do with human shoppers.
In one example, an agent is shopping for a carry-on suitcase that has to fit a specific airline's size limit. One store lists exact dimensions in its product data, and another only shows them in a photo. The agent can only recommend the store whose data it can read.
When a product drops out, the agent rarely says why. A stale price, a missing spec, or an out-of-stock signal sends it to the next seller, and the business never sees that visit as a lost sale. That makes machine-readable product data the first thing a business needs to get right on the buy side.
How does a buy-side agent pay?
A buy-side agent pays with a payment token the shopper approved, and proves who it is with a digital signature the merchant can check. Those 2 steps, plus a record of what the shopper agreed to, let a store accept an order from software instead of a person:
- The mandate records what the shopper approved, such as a price limit or an exact cart, which Google's Agent Payments Protocol (AP2) stores as a signed digital record.
- The identity check confirms the agent is acting for an actual shopper, which Visa's Trusted Agent Protocol does with agent-specific cryptographic signatures.
- The payment uses a token with spending limits instead of the shopper's card number, through programs like Mastercard Agent Pay, Visa Intelligent Commerce, and Stripe's Shared Payment Tokens.
The identity check has a direct revenue cost when it fails. Bot defenses built to stop scrapers and fraud can block a legitimate shopper's agent too, and every good agent a store blocks is a sale it never sees. The agentic commerce protocols comparison covers how ACP, UCP, AP2, and the card networks fit together.
Where does buy-side meet sell-side?
Buy-side and sell-side agentic commerce meet when a shopper's agent asks a business a question and the business's own agent answers it. Instead of reading a bare product feed, the shopper's agent gets a reply shaped by the business's catalog, offers, and rules. That reply can also draw on what the business already knows about the customer.
Agent-to-agent protocols such as Agent2Agent (A2A) let agents from different companies find each other and exchange information securely, so this hand-off can happen without a person in the middle.
Buy-side agentic commerce example
A shopper tells her AI assistant to buy a specific espresso machine for under $300, delivered by Friday. Her assistant checks 6 retailers, and only one of them has its own sell-side agent. The table follows the purchase step by step and shows what each kind of retailer sees.
The retailer with its own agent won on a question the product feed couldn't answer. Its agent could offer the bundle because the retailer had already approved that offer, and it could promise Thursday because it checked live inventory instead of a nightly feed.
In a Delight.ai agent, approved actions like that offer are step-by-step flows a person reviews before they go live, called Actionbooks. Any request outside them goes to a human. Delight.ai's memory feature, Agent Memory Platform (AMP), ties the exchange to the shopper's history, so the retailer can suggest descaling tablets when she's likely to need them.
Retailers already run this kind of sell-side agent. BJ's Wholesale Club's shopping assistant Bev is powered by Delight.ai and brings product discovery, savings guidance, and member care into one assistant. Members who engaged with Bev converted at a higher rate and showed greater purchasing activity per visit than those who didn't, according to the BJ's Wholesale Club case study.
"Whether a member is browsing for a grill, looking up club hours, or asking about a renewal, they're talking to the same Bev. That's how a real member-team member relationship is supposed to feel."
Scott Vandegrift, VP of Product, BJ's Wholesale Club (2026)
Key takeaways
- Buy-side agentic commerce is a shopper's own AI agent finding, comparing, and buying across many sellers, within limits the shopper sets.
- Most shoppers still approve the final purchase, so a business that can answer the agent's questions in that moment can still win the order.
- Many retailers we work with are responding by building their own sell-side agents, so shoppers and their agents can get answers from the brand directly.
- Agents choose on facts they can read and verify, like exact dimensions and live stock, so a store with missing product data drops out without knowing it.
Shoppers' agents will keep getting better at buying, and no business controls which one a customer picks. What a business can control is the agent answering on its own behalf, and Delight.ai builds that agent with your catalog, offers, and rules behind every answer. See what a sell-side agent could do for your business.