Amazon has launched a 30-minute delivery service called Amazon Now, rolling it out across dozens of American cities as the company escalates its push into the ultra-fast delivery market long dominated by DoorDash, Uber Eats, and Instacart.

The service, available through the Amazon app and website, covers thousands of items spanning fresh groceries, household essentials, electronics, personal care products, and alcohol where permitted. Eligible items are flagged with a “30-minute delivery” banner, and Amazon Now offers are surfaced to customers as they browse.

How It Works

Amazon Now is live in Atlanta, Dallas-Fort Worth, Philadelphia, and Seattle, with expansion underway in Austin, Denver, Houston, Minneapolis, Oklahoma City, Orlando, and Phoenix. The company expects the service to reach tens of millions of customers across these and additional cities by year-end.

The speed is enabled by a network of smaller fulfillment locations, positioned closer to residential and commercial areas than Amazon’s traditional warehouse infrastructure. Reduced travel distances, combined with a curated selection of high-demand items, enable the company to compress delivery windows to 30 minutes or less. In most markets, the service operates around the clock.

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The Price Argument

Amazon Now is not free, but the company is making a deliberate pricing case against its competitors. Prime members pay a flat $3.99 per order, compared with $13.99 for non-Prime customers. Orders below $15 carry a small additional fee of $1.99 for Prime members and $3.99 for non-members.

That structure is notably more transparent than the variable pricing models common among rivals, which typically layer on delivery fees, service charges, expected tips, and, in some cases, per-item price markups. For Prime members placing regular orders, the math frequently favors Amazon Now.

A Broader Speed Ecosystem

The launch extends an already substantial fast-delivery infrastructure. Amazon currently offers one-hour and three-hour delivery across more than 90,000 products, same-day delivery across millions of items, and drone delivery trials in eight US locations through its Prime Air program, targeting sub-60-minute windows.

The scale of that infrastructure is considerable. In 2025, Amazon Prime members received more than 13 billion items via same-day or next-day delivery globally. The United States accounted for eight billion of those deliveries — a figure 30 percent higher than the year prior.

“Amazon Now is for when you need or want the convenience of getting your Amazon order delivered in 30 minutes or less,” said Udit Madan, Senior Vice President of Amazon Worldwide Operations. “You can get everything from groceries for dinner, to AirPods before a flight, to household essentials like laundry detergent delivered right to your door.”

Also Read: Your Homepage Isn’t the Front Door Anymore

The Competitive Stakes

Amazon began piloting 30-minute delivery in Seattle and Philadelphia in December, a move widely interpreted as a direct challenge to the quick-commerce platforms that have built significant consumer habits around on-demand delivery. With Amazon Now now scaling nationally, those platforms face a competitor with deeper logistics infrastructure, a larger existing customer base, and a membership program that makes the economics of fast delivery considerably more favorable for tens of millions of American households.

The race to own the last 30 minutes of retail is no longer a side experiment. For Amazon, it is becoming core infrastructure.

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Amazon is preparing to make a broader pitch to television advertisers—one that extends well beyond traditional TV—when it meets with marketers this week at the annual Consumer Electronics Show.

Executives plan to emphasize not only Amazon’s ability to drive sales through its vast e-commerce platform, but also its growing reach through streaming video, live sports and a widening network of programmatic advertising partnerships. Those alliances include agreements with rivals such as Disney, Roku and Netflix, allowing advertisers to reach audiences beyond Amazon’s owned content.

“At some level, you want to be the ‘everything store’ for advertising,” said Alan Moss, Amazon Ads’ vice president of global sales, in a recent interview.

Moss’s comments signal Amazon’s confidence as the television advertising market increasingly shifts toward earlier negotiations ahead of the industry’s annual “upfronts,” where the bulk of TV ad inventory is sold. Amazon, he said, expects to attract more advertisers—particularly brands that do not sell products on its marketplace.

“The simple definition is: those that don’t sell on Amazon,” Moss said when asked which advertisers the company hopes to court more aggressively.

Also Read: Will AdCP Be Advertising’s Next Great Standard?

Amazon is placing greater emphasis on its ability to deliver large-scale reach through a growing set of demand-side platform agreements that allow advertisers to buy video and audio inventory programmatically across multiple publishers. By consolidating those buys, the company argues, marketers can reduce ad repetition and distribute commercials more precisely.

“We can now connect advertisers to 90 percent of all U.S. households, giving us a broad, deterministic reach,” Moss said.

That reach has also enabled Amazon to introduce a “live events optimizer,” a tool designed to help advertisers connect with audiences during high-profile live moments—an increasingly valuable asset as on-demand viewing fragments traditional television audiences. While much of Amazon’s content is consumed asynchronously, the company has continued to invest heavily in live sports rights, including “Thursday Night Football” and a recently announced deal with the NBA.

Rivals are making similar bets. Disney is expected to leverage its broadcast of the 2027 Super Bowl to promote a broader slate of live events, while NBCUniversal is expanding its sports portfolio through a new Major League Baseball agreement.

Amazon’s assertive posture has not gone unnoticed. The company raised eyebrows last year by hosting its upfront showcase on the opening night of upfront week, a time slot traditionally held by competitors such as NBCUniversal and Fox. The move did not appear to dampen demand.

“We exceeded our own expectations in upfront commitments year over year with new and existing advertisers,” Amazon said in an August statement, citing interest tied to NBA rights and original series including Fallout and Beast Games.

Also Read: Adtech’s New Secret Weapon: The IP Signal

At CES, Amazon will also highlight new advertising tools powered by artificial intelligence. One analyzes a brand’s presence across Amazon properties and automatically generates creative briefs and storyboards. Another, a “full-funnel” product expected to launch in early 2026, is designed to link brand awareness campaigns with direct conversion—moving consumers from streaming video and audio to display, online video and ultimately purchase, whether on Amazon or elsewhere.

Despite lingering economic uncertainty, advertising forecasts have turned more optimistic. WPP Media recently raised its projection for global ad spending growth in 2026 to 7.1 percent, citing a wave of new products and services driven by artificial intelligence.

“To some extent, uncertainty is the new normal,” Moss said. “But advertisers remain focused on using advertising where it’s most likely to achieve their business goals—whether that’s awareness, consideration or conversion.”

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When Angie Chua founded her Palm Springs–based stationery brand, Bobo Design Studio, in 2016, she made a deliberate decision to avoid selling on Amazon. That is why she was startled late last year to discover her products appearing for sale on Amazon’s marketplace—without her knowledge or permission.

The first warning came in December, when Chua noticed a stream of unusual orders originating from an email address ending in @buyforme.amazon. Some orders were for products that were out of stock or no longer sold. Only then did she learn of “Buy For Me,” an AI-powered shopping feature Amazon quietly introduced last year. Chua says she never opted into the program.

“They just opted us into this program that we had no idea existed,” she said, “and essentially turned us into drop shippers for them, against our will.”

Amazon’s “Buy For Me” feature allows shoppers to purchase items from third-party brand websites without leaving Amazon’s app or site. Listings appear alongside standard Amazon search results, clearly labeled as coming from “other brands,” with a prominent “Buy For Me” button. Amazon says the tool uses agentic AI to securely transmit encrypted payment and shipping information to merchants’ sites.

But several merchants told Modern Retail that, to consumers accustomed to Amazon’s interface, the listings can closely resemble standard Amazon product pages—creating the impression that brands are selling directly on Amazon, even when transactions are fulfilled elsewhere.

Also Read: Human-in-the-Loop Isn’t a Crutch. It’s the Safety Net.

In Chua’s case, customers placed orders on Amazon.com that were routed through her Shopify account. After contacting Amazon to opt out, her listings were removed. Still, she worries that other small businesses may be unknowingly enrolled.

She is not alone. Four additional merchants interviewed by Modern Retail said their products were listed on Amazon without consent.

“‘Shop Direct’ and ‘Buy For Me’ are programs we’re testing to help customers discover brands not currently sold in Amazon’s store,” an Amazon spokesperson said. “Businesses can opt out at any time, and we remove them promptly.”

Yet merchants argue that the burden should not fall on them to opt out of a program they never joined.

Amanda Stewart, founder of the Utah-based children’s apparel brand Mochi Kids, learned her entire catalog—some 4,000 products—was available on Amazon only after seeing Chua’s viral Instagram video. Stewart had intentionally avoided Amazon because of concerns over resellers, counterfeits, and brand dilution.

“We’ve not wanted to sell on Amazon on purpose,” she said. “Seeing our products there was frustrating.”

Also Read: GenAI Search Is Rewriting the Shopper’s Playbook

Other founders echoed those concerns. Emi Moon, who runs the digital art brand Peachie Kei, said even her gift cards appeared on Amazon. “It’s a reputational issue,” she said. “I don’t want to be associated with Amazon.”

Several merchants said Amazon’s opt-out approach risks damaging wholesale relationships. One of Mochi Kids’s partners—an independent label that prohibits Amazon sales—questioned why its products appeared on the platform, forcing Stewart to explain the situation and reassure the brand.

“It builds distrust,” Stewart said.

Amazon says product descriptions, images, pricing, and ratings are pulled from merchants’ websites and refreshed regularly, though it may modify content for display. That may explain why one of Chua’s listings—a vinyl sticker—was shown with an image of pants, a product she has never sold.

“I don’t sell pants,” she said.

Chua also reported orders for discontinued products and lingering “shell” listings with jumbled titles and keyword-heavy descriptions, which she fears could divert search traffic from her own site. She has since consulted an intellectual property attorney and launched a survey that has drawn responses from 145 brands who believe their products were listed on Amazon without consent.

For some sellers, the risks go beyond branding. Sammy Gorin, a New York–based artist, said “Buy For Me” surfaced products from her password-protected wholesale portal—raising concerns about tax liability and the exposure of wholesale pricing intended to remain private.

“I keep my wholesale pricing hidden to protect my margins and those of my retail partners,” she said.

The controversy arrives as Amazon takes an increasingly aggressive stance against other companies using AI to access its marketplace. In 2025, Amazon moved to block third-party crawlers tied to companies including Google and Meta, and sent a cease-and-desist letter to Perplexity over its AI-powered shopping browser.

Also Read: Predictive AI Turns Marketing from Guesswork to Genius

At the same time, Amazon is expanding its own AI shopping tools. Alongside “Buy For Me,” it has introduced “Auto Buy” and promoted its shopping assistant Rufus, which the company says makes users significantly more likely to complete purchases.

To Juozas Kaziukėnas, an independent e-commerce analyst, the rollout is out of character. “Normally Amazon requires brands to apply or integrate,” he said. “This isn’t built on partnerships. It just appears—and brands aren’t told.”

For small businesses already navigating a difficult retail climate, the result is yet another burden: monitoring Amazon’s marketplace for listings they never approved.

“It’s just another level of stress,” said Chelsea Ward, founder of the stationery brand Sketchy Notions. “Amazon knows we have very little room to push back.”

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Amazon and Visa are joining forces to accelerate the next frontier in digital commerce: AI agents that can shop — and pay — autonomously on behalf of consumers.

In a joint announcement Monday, the companies said they will offer software developers a new suite of tools through Amazon Web Services to build “agentic commerce” experiences. The tools, which will connect developers to a wider ecosystem of payment and commerce partners, are designed to help AI agents complete transactions reliably and securely — though neither company disclosed when they will debut.

The partnership extends beyond retail. Amazon and Visa are also collaborating with Expedia Group and Intuit to bring agentic shopping and payment capabilities to travel and B2B applications, hinting at an emerging commercial layer where bots, not buyers, initiate and negotiate purchases.

Visa, long vocal about its ambitions in this space, has been signaling the arrival of AI-driven shopping agents since April, pointing to forthcoming Visa cards that allow autonomous payment authorization. “The pace of innovation is very fast — perhaps even accelerating,” Visa CFO Chris Suh said recently, noting the company’s investments across agentic commerce, stablecoin technology, and digital payments infrastructure.

The collaboration arrives amid an industry-wide race to capture the future of “bot-powered shopping.” PayPal, Fiserv, Stripe, and Mastercard are among the companies developing similar capabilities, each betting that AI agents will soon become a mainstream interface for retail and payments.

Also Read: GenAI Search Is Rewriting the Shopper’s Playbook

But the road is far from frictionless. Real-world use cases remain rare, and major questions persist: What happens when an AI agent misinterprets a command? Buys the wrong item? Initiates a return? Who is responsible for errors made by autonomous decision-making?

Amazon is already contending with these questions in the courts. Last month, it filed a lawsuit against AI firm Perplexity over the use of autonomous assistants in its marketplace, underscoring how complex — and litigious — the transition to agentic shopping may become.

Still, the tech giants are pressing forward, betting that the convenience of digital agents will outweigh the operational and regulatory risks. If successful, the shift could redefine online shopping: consumers issuing commands, and AI doing the rest.

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Amazon is testing a new frontier in e-commerce speed: delivering groceries and household essentials in 30 minutes or less. The pilot, called Amazon Now, launched in parts of Seattle and Philadelphia and marks the company’s boldest play yet to match — and potentially surpass — the immediacy of in-store shopping.

The service isn’t cheap. Ultra-fast delivery costs about $14 per order, or $4 for Prime members, with an additional $2 fee for orders under $15. To make the math work, Amazon has positioned small, highly efficient fulfillment sites close to dense residential and commercial areas.

The test comes during a period of retrenchment in Amazon’s physical retail operations, including the shutdown of roughly 70 non-food stores and a recent slimming of its Amazon Fresh footprint. But the company’s delivery ambitions have only accelerated. Amazon is expanding same-day grocery delivery to more cities, speeding up shipments to 4,000 rural communities, and reorganizing inventory so packages travel shorter distances with fewer handoffs.

Despite having a relatively small brick-and-mortar network compared with Walmart or Target, Amazon’s logistical infrastructure is becoming competitive with both, according to analysts at Bank of America. Services like Instacart and DoorDash are also squarely in its sights.

“While this offering is in early test mode, we think Amazon Now is potentially an important step toward Amazon matching or even surpassing the immediacy benefit of in-store purchasing,” said analyst Justin Post.

Also Read: Tariffs Test How Much Price Pain Shoppers Can Take

Amazon CEO Andy Jassy has already predicted that AI-powered efficiency gains will eventually make brick-and-mortar retail less dominant. Amazon Now could be a preview of that shift — and a new hook for Prime membership and on-site advertising revenue, which have grown faster than Amazon’s core retail business.

Key service categories tell the story: in Q3, advertising revenue rose 24%, seller services climbed 12%, and subscription services grew 11%, outpacing online and physical store sales.

The half-hour delivery experiment will likely operate at low or negative margins initially, analysts said. But its limited scale means little impact on Amazon’s broader profitability — and the test signals the company’s broader thesis: speed is not just a feature, but the next battleground of retail.

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Every year, Black Friday pushes Amazon’s systems—and its shoppers—to the edge. Tens of millions of products, millions of buyers, a blizzard of reviews, endless deals dropping by the minute. Chaos for most retailers. A controlled, data-driven machine for Amazon.

Behind that machine is AI.

Artificial intelligence now powers almost every moment of Amazon’s Black Friday experience—what customers see, what they buy, and how securely they check out. From hyper-personalized recommendations to fraud detection that operates at millisecond speed, Amazon’s AI ecosystem is the quiet force shaping the biggest shopping event of the year.

Here’s how it works.

AI-Powered Personalization: The Deal Discovery Engine

Black Friday is a choice overload problem. Amazon uses AI to fix that.

Machine learning models process billions of data points—search queries, browsing history, purchase patterns, abandoned carts, even time-of-day behavior—to build real-time recommendations.

For a shopper in Seattle who loves gadgets? Tech deals rise to the top.
A parent in Atlanta? Toys and home goods dominate the feed.
A beauty buyer in Miami? Limited-edition holiday drops are surfaced first.

These AI cues don’t just personalize the shopping trip—they shorten it. Amazon’s recommendation engine is responsible for 35%+ of total purchases on normal days. On Black Friday, that influence skyrockets as consumers lean on algorithmic shortcuts to navigate the noise.

Voice AI—through Alexa—adds another layer. Shoppers can ask:

• “Alexa, what are my Black Friday deals?”
• “Compare the top offers on noise-canceling headphones.”

The assistant responds instantly, ranking deals based on personal preferences and global trends.

Demand Forecasting & Inventory AI: Predicting What America Will Buy

Black Friday’s biggest sin is simple: running out of stock.

Amazon uses AI forecasting models trained on years of holiday sales, regional trends, and real-time behavior spikes. This helps Amazon:

• Predict demand down to the ZIP-code level
• Pre-position inventory in nearby fulfillment centers
• Adjust pricing dynamically when demand surges
• Reduce overstock by anticipating when interest dies off

Chicago might over-index on winter apparel.
Phoenix might spike in home electronics.
New York might lean heavily on premium kitchen appliances.

AI sees these patterns before humans do, preventing the dreaded “Out of Stock” button that kills both revenue and shopper trust.

On the logistics side, route-optimization AI ensures Black Friday orders move through a system that’s stretched to its limits. In cities like L.A. and Philadelphia—where traffic can ruin delivery promises—AI helps Amazon keep its “arrive tomorrow” magic intact.

Marketing Intelligence: AI That Knows What Will Trend Before It Trends

During Black Friday, Amazon’s marketing engine operates like a newsroom on deadline.

AI analyzes:

• Trending searches
• Social sentiment
• Competitor pricing
• Deal performance in real time
• Engagement signals across cities and states

That intelligence fuels dynamic ad placements—across Amazon, Google, social platforms, and connected TV—that shift on the fly.

In San Francisco or Washington, D.C., where tech adoption is high, Amazon can push deal ads that adapt instantly based on a user’s behavior. If beauty gifts are trending in New York by mid-morning, Amazon’s AI can update creatives, placements, and relevance in minutes—not days.

Black Friday is no longer a campaign; it’s a self-optimizing system.

AI vs. Fraud: The Quiet Battle Behind the Buy Button

More shopping means more fraud.

Fake reviews, payment fraud, bot-driven scams, impersonation attacks—Black Friday is peak season for bad actors. Amazon uses AI to police them aggressively.

Fraud Detection Algorithms

AI models watch transaction patterns in real time:

• Sudden changes in purchase behavior
• Unusual device or location fingerprints
• Suspicious account activity
• High-velocity orders

If anything seems off, the AI system flags or freezes the transaction instantly.

Fighting Fake Reviews

Fake reviews are a billion-dollar problem—and AI has made them harder to spot.

Amazon now uses:

• Machine learning models that analyze grammar patterns
• Linguistic signatures of AI-generated text
• Temporal patterns across multiple reviewers
• Verification cross-checks for “Verified Purchase” claims
• Behavioral signals (e.g., review farms posting in clusters)

Amazon has shut down massive fake-review networks and escalated legal action, including efforts targeting platforms that scrape or impersonate its marketplace.

Guardrails for Business Buyers

For Amazon Business customers, AI tools like Spend Anomaly Monitoring detect unusual purchasing patterns and alert administrators before a costly mistake occurs.

AI isn’t just protecting Amazon—it’s protecting the millions of shoppers who trust the platform.

AI Chatbots & Service Automation: Handling the Holiday Stampede

Black Friday pushes customer support to the brink.

AI-powered assistants—via chat, Alexa, and Amazon’s help portals—resolve:

• Delivery updates
• Returns
• Refunds
• Order tracking
• Product comparisons
• Deal-specific questions

Amazon’s service AI reduces resolution times from minutes to seconds, cutting strain on human reps and keeping frustration low during peak chaos.

What’s Next: The Future of Amazon’s AI-Driven Black Friday

The next wave of AI innovation is already underway:

• AR try-ons for fashion, beauty, and home decor
• AI Deal Advisors that compare discounts across years
• Personalized Black Friday “storefronts” built entirely by AI
• AI-generated product content paired with AI quality-control agents
• Ultra-localized demand forecasting that predicts trends neighborhood by neighborhood

As Amazon continues to push deeper into generative AI (Bedrock, Titan, etc.), Black Friday will evolve from a shopping event into a personalized, predictive experience.

AI Isn’t Behind the Black Friday Experience — It Is the Experience

Amazon’s Black Friday success isn’t luck, scale, or brute force.

It’s AI.

AI chooses the products.
AI sorts the deals.
AI predicts the demand.
AI secures the checkout.
AI personalizes the journey.
AI polices the marketplace.
AI routes the delivery truck.

For shoppers across New York, Chicago, Miami, Seattle, and everywhere in between, Amazon’s AI makes Black Friday feel effortless—even when millions of interactions happen every second.

Black Friday may look like chaos from the outside.
Inside Amazon, it’s an algorithmic ballet.

The post How AI Became Amazon’s Secret Black Friday Engine appeared first on MartechView.

Already the dominant player in retail media and a top destination for search, Amazon’s latest update is another step in developing its advertising platform for a broader appeal. Earlier this year, Amazon set deals with Disney, Roku and Netflix to work with its demand-side platform (DSP), demonstrating the company’s rising power in the digital landscape, including when its sell-side products are paired with its cloud-based marketing technologies.

Amazon’s revenue generated from advertising rose 22% to nearly $16 billion year-over-year for the second quarter of 2025, outpacing the company’s retail business, which saw comparative net sales increase 13%. The company helps advertisers reach an ad-supported audience of more than 300 million in the U.S. through its retail marketplace, Prime Video, Twitch and its DSP, it noted in its earnings release.

Also Read: The Treat Economy: How Small Luxuries Boost Retail Returns

As Amazon expands its advertising platform, it is also seeking to make itself more accommodating to its partners, which is another key aspect of this new update. With the update, many small- and medium-sized businesses will have access to tools that were reserved for those who were registered with Amazon Ads or worked with third-party tech partners. The move follows Amazon’s move earlier this year to give retailers more opportunities to manage their campaigns on their own websites using Amazon Retail Ad Service.

Now, with a simple, no-code user interface (with more robust tools for those with SQL experience), more companies will be able to integrate their first-party data with Amazon’s shopping, browsing and streaming signals for better insights and campaign- and audience-building. Such data collaboration has become more important as the media landscape has become increasingly fragmented and cookies have become less reliable as a customer-tracking tool for digital marketers.

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