Online shopping changing general merchandise retail
This research explores how general merchandise retail is changing due to online shopping. It will examine shifts in shopping behavior, retail operations, and competitive dynamics driven by e-commerce.
Last updated May 23, 2026 09:07
Intelligence Brief
The current state and what matters now
Actors
The field is still led by Amazon, Walmart, Target, Costco, and a long tail of marketplace sellers, category specialists, and private-label operators. The actor set is widening further: AI shopping assistants, search and browser agents, retail media networks, commerce infrastructure vendors, and subscription membership ecosystems now shape discovery and conversion. Amazon is increasingly acting as both retailer and shopping interface, while also routing shoppers to other stores when its own catalog is not the best match. Walmart is using marketplace assortment, unified app experiences, and AI integrations to extend general merchandise online. Target is formalizing membership, same-day delivery, creator commerce, and store-based fulfillment as an integrated operating layer. Google is becoming a major upstream commerce actor by embedding agentic shopping into Search, Gemini, YouTube, and Gmail, including a Universal Cart that spans merchants and surfaces. Stores, clubs, and value chains matter more because they are blending assortment, fulfillment, and digital merchandising into one system.
Moves
- Delegated shopping is moving from novelty to utility: assistants can recommend products, compare options, track prices, and increasingly complete purchases.
- Cross-merchant routing is becoming explicit, with Amazon and Google-style surfaces surfacing products outside their native catalog and sending shoppers to merchant sites or assisted checkout flows.
- Universal carting is emerging as a shared layer, letting shoppers collect items across merchants and surfaces before checkout.
- Auto-buy and price-triggered execution are emerging, with shoppers setting conditions and letting systems purchase when thresholds are met.
- Agent-led discovery is accelerating as retailers test natural-language search, conversational assistants, and AI-guided decision support.
- Structured product feeds are becoming core infrastructure for AI shopping, because assistants depend on clean metadata, pricing, and inventory.
- Marketplace expansion is absorbing more general merchandise assortment, especially where long-tail selection and seller depth matter.
- Store fulfillment is expanding, with stores increasingly serving shipped online orders, same-day delivery, pickup, and returns demand.
- Retail media integration is deepening, with on-site, in-store, and offsite media tied more tightly to sales outcomes and verified identity.
Leverage
Advantage now comes from controlling the full commerce loop: discovery, trust, assortment, fulfillment, and monetization. The strongest players combine traffic, first-party data, inventory density, and delivery reliability. Physical stores still matter when they reduce last-mile cost, support returns, and improve immediacy. The newest leverage point is AI-mediated intent capture: whoever influences the assistant, ranking, or recommendation layer can shape demand before the shopper reaches a retailer’s website. Control over product feeds, identity linking, catalog quality, and inventory accuracy is now a source of bargaining power. Retailers that expose clean inventory and pricing data across channels gain an edge because digital convenience is now a core battleground even in value-oriented general merchandise. Cross-service identity graphs, such as linking shopping to media behavior, are becoming a new personalization asset. A further advantage is emerging in interface control: retailers that can separate discovery from checkout without losing the customer can monetize routing, not just transactions.
Constraints
- Thin margins still limit how much price competition and free shipping can be absorbed.
- Fulfillment costs remain structurally high for bulky, low-value, or high-return general merchandise.
- Product-data quality is now a hard constraint: if catalogs, attributes, pricing, or availability data are wrong, AI search and marketplace conversion degrade quickly.
- AI adoption is outpacing execution, creating a gap between strategic intent and operational readiness.
- Merchant defenses against bots remain a friction point, because retailers must distinguish helpful agents from malicious automation.
- Attribution conflicts are intensifying as media teams, creators, merchants, and store operators optimize for different outcomes.
- Checkout fragmentation persists: shoppers may discover products in one interface, compare in another, and complete payment on a different surface.
- Platform control disputes are rising as retailers block or limit shopping bots that threaten traffic, pricing power, or customer ownership.
- Attention is more distributed, so retailers must win earlier research moments without losing efficiency at the point of purchase.
Success Metrics
Success is increasingly measured by profitable digital penetration, not just online sales growth. Key metrics include gross margin after fulfillment, repeat purchase rate, order frequency, basket size, conversion rate, and customer lifetime value. Retailers also track on-time delivery, pickup adoption, return rates, inventory turns, and retail media revenue. In the AI era, new metrics matter too: assisted conversion rate, recommendation accuracy, search-to-purchase time, the share of traffic influenced by agents, the percentage of orders completed through conversational or delegated surfaces, and the share of purchases triggered by price alerts or auto-buy rules. For membership-led commerce, retailers are watching subscription attach rate, partner usage, and retention lift. For marketplaces, seller quality, take rate, API integration depth, and trust signals remain central. For grocery and essentials, replenishment frequency and share of household spend are becoming more important. Awareness-stage engagement and early-funnel community research are also becoming measurable inputs to conversion.
Underlying Shift
The deeper shift is from a store-centric distribution model to a data- and AI-orchestrated commerce system. Online shopping has already changed general merchandise retail by making assortment, pricing, logistics, and media continuously adjustable. The new phase goes further: shopping is becoming mediated by assistants, recommendation engines, membership ecosystems, creator networks, and unified operating layers that blur the line between browsing, buying, and fulfillment. The retailer is less a shelf owner and more a platform operator coordinating demand across digital interfaces, stores, and delivery networks. In this model, the store is a node, the app is a control surface, and AI is becoming the front door and, increasingly, the checkout layer. Commerce is also becoming more interoperable, with merchant data and transaction flows exposed to agents through shared protocols rather than only proprietary retailer stacks. The interface is shifting from keyword search to intent interpretation, and now also from direct purchase to routed purchase and delegated execution.
Current Phase
The market is in a late adoption, early transformation phase. Omnichannel is no longer novel; it is table stakes. The next competitive wave is about who can operationalize unified commerce, agentic shopping, and marketplace-led assortment without destroying margin or trust. The profit pool is still contested among retailers, marketplaces, brands, creators, and retail media businesses, but the battle is shifting toward who owns the customer interface, the AI layer, and the transaction rules. The winners will be those that turn complexity into a simpler customer experience while also reducing internal friction and improving inventory truth. The evidence now suggests online shopping is not just supplementing general merchandise retail; it is increasingly setting the operating logic for it. The newest phase is a contest over who owns the first question, not just the final click.
What to Watch
- Agentic and conversational commerce adoption, especially whether AI assistants become a meaningful source of traffic and conversion.
- Universal cart and cross-surface checkout, especially whether carts can persist across search, video, email, and chat.
- Merchant acceptance of AI checkout, including whether retailers monetize assistant traffic or keep blocking it as bot risk.
- Auto-buy and price-alert usage, including whether shoppers trust delegated purchase execution for repeatable categories.
- Marketplace operating models, especially whether marketplace becomes a core assortment and growth system rather than a side channel.
- Unified commerce execution, especially whether retailers can truly collapse channel silos for customers and operations.
- Retail media integration, including whether on-site, in-store, and offsite media become one measurable system.
- Inventory and catalog accuracy, since AI ordering and availability tools only work if product data stays clean.
- Upstream research behavior, including whether community platforms and search agents become standard first stops before retailer search.
Latest Signals
Events and actions shaping the domain
Google launches Universal Cart
Full signal summary: Google introduced Universal Cart, an intelligent cart that works across Search, Gemini, YouTube, and Gmail and can track price drops, price history, and stock changes. That points to shopping becoming a cross-surface transaction layer rather than a single-site checkout flow.
Target marketplace drives non-merchandise growth
Full signal summary: Target said non-merchandise sales grew nearly 25%, reflecting strong growth in Roundel, Target Circle 360, and the Target+ marketplace. That shows marketplace and adjacent monetization are becoming material enough to support the retail model.
Google expands UCP for AI shopping
Full signal summary: Google updated Universal Commerce Protocol so agents can pull real-time pricing and inventory from retailer catalogs and save multiple items to cart at once. This is a concrete infrastructure step toward AI-mediated shopping across merchants.
Google Search adds AI shopping ads
Full signal summary: Google launched new Gemini-powered shopping ad formats in Search that generate product explainers and connect shoppers to relevant products at discovery time. This shifts product discovery toward AI-generated guidance instead of traditional keyword-led browsing.
Amazon routes shoppers to other stores
Full signal summary: Amazon said shoppers searching branded items can now see results from other stores labeled 'Shop brand sites directly,' and can sometimes buy those items through Buy for Me. That signals Amazon is willing to route demand outward when it improves relevance and conversion.
Dominant Patterns
High-density signal formations shaping the current domain landscape
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Aggregating signals by recency and strength
Weak Signals, Rising Patterns
Less visible signal formations that may gain significance over time
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Aggregating signals by recency and strength
Analysis
Interpretation of what’s changing
Marketplace Growth Is Becoming a Margin Defense, Not Just a Growth Story
Full analysis summary: Walmart, Best Buy, and Target are all pointing to the same quiet shift: marketplaces are no longer just a way to add sales, they are a way to protect the economics of general merchandise when owned inventory is harder to grow profitably. The mechanism is simple but powerful. Third-party sellers widen the shelf without forcing the retailer to carry all the inventory risk. That means more assortment, less working capital tied up, and less markdown exposure when demand is soft. In other words, the marketplace becomes a kind of shock absorber for a category that is structurally more fragile than grocery or consumables. That is why the signals matter together. Walmart is explicitly linking marketplace to its general-merchandise strategy, and more than two-thirds of that assortment is already general merchandise. Best Buy’s digital marketplace more than doubling online assortment is the same move in different clothing: turn a fixed shelf into a flexible platform. Target’s non-merchandise growth through Target+ suggests the fee and transaction layer can start to offset weakness in the core store business. The implication is that retailer quality may increasingly depend less on how much inventory they own and more on how effectively they can monetize a broader ecosystem around it. A marketplace can preserve margin even when direct retail demand is sluggish, because the retailer can still earn fees, ads, and transaction economics while letting sellers absorb the inventory burden. There is a catch. A marketplace is not free margin. It can dilute control over pricing, fulfillment, and customer experience, and not every category benefits equally from third-party expansion. Some of the growth may also be channel shift rather than true demand creation. But the direction is clear: for big-box retailers, marketplace investment is becoming less like an experiment and more like a defensive capital-allocation strategy.
Commerce Is Moving From Checkout to Delegated Execution
Full analysis summary: The real shift in AI shopping is not that people can search faster. It is that the assistant is starting to behave like a constrained buyer: watching prices, comparing merchants, assembling carts, and in some cases completing the purchase. Once that happens, the old center of gravity — the checkout page — matters less than the rules the assistant is allowed to follow. That is why the recent moves line up so neatly. Amazon extending shopping beyond its own catalog, Google stitching items across Search, Gemini, YouTube, and Gmail into a Universal Cart, and Walmart framing Sparky around situations rather than queries all point to the same mechanism: the system is no longer just helping a human browse, it is acting on behalf of a human’s intent. Think of it less like a better store clerk and more like a procurement layer with a memory. It can keep monitoring after the shopper leaves. The business implication is uncomfortable for retailers and brands. If the assistant is the operative buyer, then persuasion shifts upstream into rules, permissions, and trust. Who gets to set the thresholds? Which merchant is preferred when price, speed, and loyalty conflict? Which assistant is allowed to auto-buy at all? Those become the new battlegrounds, not just product page optimization or ad placement. There is some evidence this is already changing conversion quality, not just traffic volume: Adobe’s AI-driven traffic converting better than non-AI traffic suggests these sessions are not casual curiosity clicks. They are more pre-qualified, more intent-rich, and closer to action. Still, the picture is not settled. Delegated commerce works best when the task is bounded and the rules are clear; it is much messier for ambiguous, high-consideration, or emotionally loaded purchases. The assistant may compress the funnel, but it does not eliminate judgment — it relocates it.
Marketplaces Are Becoming the Router, Not the Shelf
Full analysis summary: Agentic shopping changes the unit of competition. The old game was: who has the best shelf, the best search ranking, the best assortment. The new game looks more like network routing: who can catch intent early, translate it into a basket, and send the order to the right merchant or fulfillment path before the shopper ever commits to a retailer-specific journey. That is why the recent moves matter together. A universal cart across Search, Gemini, YouTube, and Gmail is not just a convenience feature; it is a transaction layer spreading across surfaces. Etsy inside ChatGPT and Amazon’s cross-merchant shopping tools point in the same direction: discovery is being detached from a single storefront and pushed into assistants that can assemble, compare, and delegate. In that world, the marketplace is less a warehouse of SKUs than a traffic controller at an airport, deciding which runway the demand lands on. The mechanism is simple but disruptive. As AI compresses search, comparison, and checkout into one flow, the platform that owns the orchestration layer can intercept demand before it hardens into a retailer preference. That shifts value away from assortment alone and toward the ability to recognize intent, maintain trust, and route fulfillment across merchants. Walmart’s marketplace-heavy general merchandise mix and Target’s marketplace-driven non-merchandise growth suggest retailers already see this as a way to expand reach without relying only on owned inventory. The implication is that marketplace strategy is becoming infrastructure strategy. Investors should care less about raw SKU count and more about whether a platform can sit across surfaces, not just inside one app. The winners may be the companies that become the default middleware for commerce. But there is a catch: routing power is fragile. If assistants own too much of the transaction path, retailers may resist, as Amazon’s pushback against Perplexity shows. And AI-driven shopping is still early enough that the real split between “helpful discovery” and “control of checkout” is not settled. The market may be moving toward demand-routing infrastructure, but the borders of that infrastructure are still being fought over.