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TODAY’S MAZE
Happy Friday! Jeff Bezos is raising $100 billion to bring advanced AI into global manufacturing. The fund aims to modernize factories using new physical models.
This signals a future where software dictates production efficiency. Can automation finally solve lead time issues for ecommerce brands?
In today’s MarketMaze focus:
Bezos' $100B AI fund
Amazon acquires RIVR robotics
Alexa Plus triples orders
Beauty retail traffic trends
Agentic commerce takes hold
+Handpicked recent news you need to know
LET’S ENTER THE MAZE!
- Artur Stańczuk, MarketMaze Founder
MAZE STORY
The Maze: Jeff Bezos courts global asset managers to secure capital for a massive new investment vehicle. The fund aims to acquire manufacturing companies and overhaul operations using advanced AI systems.
The proposed "manufacturing transformation vehicle" targets high-stakes sectors like defense and aerospace to install next-generation efficiencies across industrial giants around the globe.
Bezos plans to use technology from Project Prometheus, a separate company building AI models that simulate physical world behaviors, to transform his new portfolio acquisitions.
This initiative follows a successful $6.2 billion funding round last year that valued the AI-centric startup at $30 billion under the operational leadership of co-founder Vikram Bajaj.
Why it matters: This shift to physical AI signals a new era where software directly dictates the efficiency of production lines. Ecommerce brands must prepare for a future where automated manufacturing slashes lead times.
If AI platforms like Project Prometheus start optimizing factories globally, who will control manufacturing decisions?
- 🧠 Tech platforms (AI providers controlling production logic and optimization)
- 🏭 Manufacturers (factory owners maintaining operational control)
- 📦 Enterprise brands (Nike, Zara shaping production through scale demand)
- 🛒 Large marketplaces (Amazon, Alibaba influencing production standards)
- 🤝 Hybrid control (shared decision-making between AI providers and operators)
☝️ Vote to see results!
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MAZE STORY
The Maze: Amazon acquired robotics startup RIVR this week to automate the "last 100 yards" of delivery. The deal brings Swiss-engineered wheeled-legged robots into the logistics ecosystem to navigate doorsteps.
RIVR utilizes general physical AI to power robots that transition between wheels for high-speed travel and legs for climbing stairs or curbs according to its official blog reports.
The startup previously tested its autonomous systems in Austin through a partnership with parcel delivery platform Veho to refine doorstep delivery for eCommerce parcels.
Amazon and Bezos Expeditions initially backed the Swiss-based firm during a $22 million seed round back in 2024 while the robotics company operated under the Swiss-Mile brand name.
Why it matters: This acquisition moves Amazon beyond the warehouse floor and onto the customer's porch. Solving the final doorstep hurdle reduces human labor costs and accelerates the path to hands-free delivery.
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MAZE STORY
The Maze: Amazon reports that its newly released generative AI assistant, Alexa+, drives three times more purchases and enables users to complete transactions faster during its UK debut.
The system transitions from simple single commands to managing multi-step tasks like building complex shopping lists or booking reservations for users.
Amazon localized the British model to understand regional slang like "knackered" or "it’s nippy" to ensure customers feel a natural connection to the assistant.
Research indicates that nearly 33% of consumers now feel comfortable allowing an AI agent to assist with everyday planning and commerce-related activities.
Why it matters: Generative AI transforms voice assistants from passive speakers into proactive agents that reduce friction in the buying journey. This shift suggests voice commerce is finally becoming a primary revenue driver for brands.
DATA TREASURE
The Maze: Beauty traffic is pooling around a few retail and discovery hubs, not around brand homepages. Sephora, Ulta, Boots, and Fragrantica now own a huge share of digital attention, which means the moment of choice is shifting to platforms that help shoppers compare, learn, review, and buy in one place.
In Jan 2026, Sephora pulled 42.6M visits and Ulta 38.1M, while Boots hit 25.5M and Fragrantica 22.2M, showing that shoppers prefer broad, trusted destinations over single brand sites when they are researching beauty and fragrance.
The gap is brutal lower down the list: MAC had 2.1M visits, NYX 1.77M, Clinique 1.64M, L’Oréal Paris 1.59M, and Estée Lauder 1.14M, which means many famous brands now attract only a fraction of retailer level attention.
Ulta finished fiscal 2025 with sales up 9.7%, comparable sales up 5.4%, and 46.7M loyalty members, while Sephora kept gaining share globally, proving traffic concentration is feeding loyalty, repeat spend, and stronger retail media power.
Why it matters: In beauty, the shelf is becoming the homepage. For ecommerce brands, that means winning search, reviews, content, and paid placement inside retail ecosystems matters more than polishing a standalone site that fewer shoppers visit first.
DATA TREASURE
The Maze: Shopping is starting to move from search bars to AI agents. Agentic commerce is becoming a real channel layer across retail, social commerce, on demand, B2B, and direct to consumer, which means brands now need to optimize for both human shoppers and machine driven recommendations.
In 2025, large language model assistants moved from product discovery into transaction flows, with instant checkout features letting shoppers complete purchases inside chat, turning AI from a referrer into a storefront with payment built in.
Big retailers are already moving fast: Walmart partnered on AI shopping experiences, while platforms across ecommerce, grocery, and marketplace models are testing agent led discovery, faster decisions, and fewer steps between question and order.
The new battleground is not prettier creative or more keywords. It is clean product data, availability, reviews, pricing, fulfillment speed, and attributes that an AI agent can read, rank, trust, and turn into a recommendation in seconds.
Why it matters: Ecommerce teams spent 20 years optimizing for search engines and marketplaces. The next fight is for AI visibility, and the winners may be the brands that are easiest for machines to understand, not the ones that simply spend the most on traffic.
BRIEFING
🏬 Everything else in Ecommerce & Big Tech
🇵🇱 Amazon announced plans to invest over 5 billion euros in Poland through 2028, funding new fulfillment centers and logistics infrastructure on top of the 10 billion euros already committed to the market.
🇩🇪 Shein grew its German partner network to over 600 vendors, utilizing new logistics and technology collaborations to attract local retailers to its expanding European marketplace.
🇺🇸 Google expanded its Universal Commerce Protocol with new cart management and catalog access features, while simplifying Merchant Center onboarding to streamline product syncing across platforms.
🇺🇸 Algolia reported that 83% of B2B sellers now prioritize AI-powered search as core infrastructure, identifying AI capabilities as the top factor when selecting new discovery tools.
🇺🇸 JOOR integrated a proprietary visual AI tool into its wholesale platform that matches runway trends to millions of shoppable products, helping retailers buy seasonal inventory more accurately.
🇺🇸 Uber invested $1.25 billion in Rivian to add 10,000 autonomous R2 electric vehicles to its fleet, targeting robotaxi operations in 25 US cities by 2031.
🇪🇺 Zalando deployed AI-powered warehouse robots across several European distribution centers to accelerate order fulfillment and automate routine tasks amid rising supply chain complexity.
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