Summary of Key Points
Nile, founded by 21-year-old Dai Haozhuang, focuses on building the infrastructure for Agent e-commerce (automated transactions between intelligent assistants) for independent North American online retailers. The company offers an AI-powered product catalog, sales attribution, and private Agent services, charging based on CPS (cost-per-sale commissions), and has already secured tens of millions in pre-seed funding. Their data shows impressive results: retailer conversion rates have increased by 150%-300%, monthly growth rates by 15%-30%, with zero uninstallation rates. The core belief is that A2A (Agent to Agent) commerce represents the future, and traditional e-commerce interfaces will be replaced by AI-driven models. Nile aims to create new infrastructure rather than merely fixing issues in the existing system.
I. Agent E-commerce: The Era of “Automated Buying and Selling” between Intelligent Assistants
Agent e-commerce isn’t about humans using intelligent assistants to make purchases; it’s about intelligent assistants conducting transactions directly with each other. For example, if you ask a private Agent to buy a mattress for you, it will automatically negotiate the price with the retailer’s Agent, check inventory, and place the order—all without you needing to open an app or web page.
Why is this the future? Dai Haozhuang believes:
1. Interfaces Will Be Revolutionized: In the future, phone screens will be rendered by AI models, and traditional product detail pages and search bars will disappear; all interactions will be handled through Agents.
2. Transactions Will Be More Efficient: Smart contract technology will automate transactions (such as automatic settlements and returns), eliminating the need for platform intermediaries.
3. Retailers Will Control Customer Relationships: Traditional platforms (like Amazon) monopolize customer data, but in Agent e-commerce, retailers will directly possess records of interactions and customer preferences, freeing them from relying on these platforms.
II. Nile’s Three Key Solutions to Address Core Pain Points in the Agent Era
Nile doesn’t just provide “intelligent assistant tools”; it builds the foundation for retailers’ Agent e-commerce services, focusing on three main areas:
1. AI-Powered Product Catalogs: Making Products Understandable to Agents
Traditional product descriptions (30-word titles + a few images) are incomprehensible to Agents. Nile helps retailers expand product information to 100,000 characters (300 times more), including selling points, specifications, and after-sales policies, adapted for various Agent interfaces (e.g., ChatGPT voice output, WhatsApp cards). For instance, when selling an electric scooter, the Agent can directly provide details like “100-kilometer range” and “2-hour charging time” without translation.
2. Clear Sales Attribution: Tracking Every Transaction Step
The conversion process through Agent channels (e.g., user-Agent → retailer-Agent → order placement) is complex. Nile tracks every step: what the user asked, which products were recommended, and whether a sale was made. Retailers get full visibility to avoid being deceived by platform “black boxes.”
3. Private Personal Agents: Customized Customer Service for Retailers
Retailers can deploy their own Agents on platforms like ChatGPT and WhatsApp. For example, when a user searches for “XX brand mattress,” a customized Agent interface from the retailer pops up. Retailers can control all customer interactions without relying on platform data.
III. Why Giants Like Amazon Have No Chance in Agent E-commerce?
Dai Haozhuang believes that traditional e-commerce giants’ strengths are actually obstacles:
1. Dependency on Consumer-facing Interfaces: Amazon’s core is its app and advertising system, which Agent e-commerce doesn’t need. Its advertising revenue would be impacted; for instance, Amazon can’t abandon its app or share product data with OpenAI, hindering integration into new ecosystems.
2. Heavy Data Burden: Amazon has accumulated大量 user click and browsing data based on traditional interfaces, which is useless in the Agent era. To transition to Agent e-commerce, it would need to overhaul its entire recommendation algorithm, which is nearly impossible.
3. Retailer Distrust: North American retailers want to escape Amazon’s exploitative practices (high commissions, ad bidding). Agent e-commerce allows them to interact directly with users, reducing the role of intermediaries.
IV. The Future of Advertising: From “Bidding Ads” to “Bidding for Products”
Advertising won’t disappear, but its format will change:
- Currently: Retailers bid on keywords (e.g., “electric scooter”), and users click on ads to access product pages.
- In the Future: Ads and products will merge into “bidding products”—retailers package product information (including videos, reviews) into contracts, and Agents will automatically recommend based on user preferences. For example, if an Agent wants a “high-value electric scooter,” its product contract will compete with others’ to be selected.
Dai Haozhuang says, “In the future, content, products, and ads will all be treated as materials with no distinction.” The billing model will also shift from click-based to transaction-based (similar to Nile’s CPS model).
V. Nile’s Business Strategy: Avoiding Model Manufacturers and Building Indispensable Infrastructure
Nile’s strategy is to avoid working with model manufacturers like OpenAI:
- Tasks Models Can’t Handle: Models can understand products but can’t build product catalogs or manage global distribution. Nile focuses on creating the “0-to-1” infrastructure (standardizing product information) and the “global” distribution network connecting retailers and Agents, areas that model manufacturers don’t cover.
- Early-stage Trust from Retailers: Established platforms (like Shopify) exploit retailers; as a startup, Nile promises to give them control over customer relationships and data, making it attractive.
Concerns: Nile is worried about competitors building similar infrastructure or short-term temptations (e.g., selling smart devices for quick profits). Dai Haozhuang emphasizes, “We aim to build the foundation for retailers, not just make a quick profit.”
V. Future Possibilities: Could There Be No More Retailers?
Dai Haozhuang boldly predicts that traditional retailer models may disappear in the future. AI models are more intelligent than humans, though currently expensive. Tasks like supply chain negotiations, pricing, and brand design can be handled by AI. The ultimate goal is “production equals sales, design equals brand”—all intermediaries (middlemen, shipping agents) will vanish, with brands connecting directly to users through Agents.
Despite being young, he believes that taking a more risky approach might lead to the right decisions sooner. Nile’s ambition is evident in its name: it aims to become the “river” of the Agent e-commerce era, connecting all retailers and Agents.