Technology of Fashion
Technology Of Fashion

Your Website Is Talking to Machines Now

By SartorFit · November 28, 2024

Your Website Is Talking to Machines Now

The Rise of Agentic Commerce and What It Means for Your Fashion Brand

For the past twenty years, the digital economy has operated on a simple principle: a human browses, a human clicks, a human buys. Every website, every product page, and every marketing campaign was built for human eyes and human hands.

That era is ending.

Your website is no longer just talking to people. It is talking to machines. AI agents are now discovering, evaluating, and purchasing products on behalf of consumers — and they are doing it at scale. The market for agentic commerce is expected to be worth $236 billion by 2034. In 2026 alone, AI platforms will account for an estimated $20.57 billion in U.S. retail ecommerce spending — nearly four times the 2025 figure.

The machines have arrived. The question is whether your brand is ready to talk to them.


What Is Agentic Commerce?

Agentic commerce is the use of autonomous AI agents to research, compare, and complete purchases on behalf of consumers with minimal human input. Instead of a customer searching for a product, comparing options, and checking out, they simply delegate the task to an AI agent. The agent does the rest.

This is not a distant future. It is happening now.

  • Visa has partnered with OpenAI to enable secure Visa payments within agentic commerce, allowing AI agents to initiate payments within defined user permissions. Visa's Intelligent Commerce platform provides the trust, controls, and connectivity needed for AI agents to securely discover, initiate, and complete transactions.

  • Salesforce has made Agentforce Commerce generally available, with Shopper, Buyer, and Merchant Agents live now and native integration with ChatGPT and Google Search arriving in the coming months.

  • Google is expanding agentic commerce features across AI Mode in Search and the Gemini app. The Universal Commerce Protocol (UCP), developed with companies including Walmart and Shopify, provides a way to standardize and streamline agentic commerce agents across platforms.

  • Shopify reported AI-powered search orders up nearly 13x year over year and AI-driven traffic up 8x in Q1 2026. Both Bank of America and Stifel upgraded Shopify to Buy within a single week, citing agentic commerce as the central thesis.

This is not speculation. This is a structural shift in how commerce works.


The Machine-Readable Business

For an AI agent to discover your brand, evaluate your products, and complete a purchase on behalf of a customer, your website needs to be machine-readable. This means your catalog, pricing, inventory, and policies must be structured in a way that AI systems can understand and act upon without human intervention.

The Agent2Agent (A2A) protocol, developed by Google and now supported by major cloud platforms, provides the standard for how AI agents discover and communicate with each other. Every A2A-compliant agent publishes an agent-card.json file at a well-known URL on its own domain. This "Agent Card" is a machine-readable descriptor that contains the agent's identity, capabilities, skills, and endpoints.

When a shopping agent searches for a product, it scans the web for Agent Cards. It evaluates which brands have the capabilities it needs — the ability to check inventory, accept orders, provide sizing information, or process returns. If your brand does not have an Agent Card, you are invisible to the machines that will soon be doing the shopping for millions of consumers.

Similarweb data shows that AI-driven traffic to Amazon has more than doubled over the past six months, driving about 13.9 million visits in the month of June alone. And conversion rates from AI assistant referrals already outperform those from all other channels.

The machines are shopping. They are buying. And they are favoring brands that are built to be discovered.


The Fashion Opportunity

For fashion brands, the agentic commerce shift represents a massive opportunity — but only for those who are prepared.

Fashion is uniquely suited to agentic commerce because it is deeply personal, highly visual, and notoriously difficult to get right online. Fit issues are the number one reason for returns, and returns are a profit killer. AI agents can solve this by using data — body measurements, style preferences, past purchases — to make highly informed decisions on behalf of consumers.

SartorGuide AI is leading this charge. Our AI-powered body measurement technology enables accurate sizing from a smartphone camera, reducing returns from 80% to under 15%. When a shopping agent is evaluating brands, it will favor those that can demonstrate high fit accuracy and low return rates. SartorGuide AI makes fashion brands agent-ready.

But agent-readiness goes beyond fit. It requires a complete business infrastructure that is machine-readable and agent-compatible.


LolaGuild: The Business Operating System for the Agentic Era

This is where LolaGuild comes in.

LolaGuild is the AI-powered Business Operating System for fashion brands. It combines everything you need to compete in the agentic commerce era:

  • Lola365 – Enterprise-grade business operations (inventory, sales, CRM, accounting, manufacturing, POS) that ensure your data is structured, accurate, and machine-readable.

  • RoseHub – AI-powered social media management that ensures your brand is visible and legible to both human and AI audiences.

  • Design Media – AI tools for professional visuals that make your products discoverable by visual search agents.

  • Lola Print – Enterprise printing with guild pricing, because the physical world still matters.

  • SartorGuide AI – Body measurement technology that reduces returns and makes your brand attractive to AI shopping agents.

  • Business Quests – Gamified growth from E Rank to S Rank, because agentic commerce rewards brands that are systematic, not chaotic.

  • Guild Community – Connection with other fashion founders and mentors who are navigating the same shift.

LolaGuild is built on enterprise-grade architecture. We are a certified Microsoft AI Partner, a certified NVIDIA Partner, and integrate with Red Hat open-source technologies. LolaGuild is live on the Microsoft Commercial Marketplace (Azure Marketplace) — giving you enterprise-grade security, scalability, and credibility from day one.

This is not startup software. This is infrastructure for the agentic era.


What You Need to Do Now

The agentic commerce shift is accelerating faster than most brands realize. Here is what you need to do to prepare:

1. Make Your Catalog Machine-Readable

Ensure your product data is structured, consistent, and accessible. AI agents need clean data to make decisions. If your catalog is messy, you will be invisible.

2. Implement Agent Discovery

Deploy an Agent Card on your website. Use the A2A protocol to make your brand discoverable by AI shopping agents. If you do not have the technical resources to do this, platforms like LolaGuild can help.

3. Reduce Returns with AI

Fit-related returns are the biggest friction point in fashion ecommerce. Implement AI body measurement technology like SartorGuide AI to reduce returns and build trust with both customers and AI agents.

4. Build Systems, Not Hustle

Agentic commerce rewards brands that are systematic, predictable, and reliable. LolaGuild's gamified quest system helps you build the infrastructure you need, one quest at a time.

5. Join a Community

The agentic shift is complex and fast-moving. You do not need to figure it out alone. Join LolaGuild's community of fashion founders who are navigating the same transformation.


The Bottom Line

The age of agentic commerce is here. Your website is no longer just talking to people. It is talking to machines. The brands that adapt will capture the traffic, the trust, and the transactions. The brands that do not will become invisible.

At SartorFit and LolaGuild, we are building the infrastructure that makes agentic commerce work for fashion brands. From AI body measurement to enterprise-grade operations to gamified growth, we give you everything you need to compete in the machine-driven economy.

The machines are shopping. Are you ready to talk to them?


About the Author

Taiwo Popoola is the Founder and CEO of SartorFit , a technology company building the future infrastructure of fashion business. SartorFit's flagship product, LolaGuild , is an AI-powered business growth platform that helps fashion brands replace hustle with systems, level up from E Rank to S Rank, and grow through quests, guilds, and AI-powered tools.

SartorFit is a certified Microsoft AI Partner, a certified NVIDIA Partner, and integrates with Red Hat open-source technologies. LolaGuild is live on the Microsoft Commercial Marketplace (Azure Marketplace) .

👉 Get LolaGuild on Microsoft Marketplace


Links Summary

ResourceURLSartorFithttps://sartorfit.comLolaGuildhttps://lolaguild.comSartorGuide AIhttps://ai.sartorfit.comMicrosoft Marketplacehttps://marketplace.microsoft.com/en-us/product/sartorfit-app.lolarose-business-center?tab=PlansAndPrice


References

  1. EMARKETER. (2025). AI platforms to account for 1.5% of total US retail ecommerce sales in 2026, or $20.57 billion in spending.

  2. AlixPartners. (2026). AI shopping agents: Customer gains, retailer gains, and what retailers stand to lose. Agentic e-commerce market expected to be worth $236 billion by 2034.

  3. Braze. (2026). Agentic Commerce: A Complete Guide for Brands. Consumer adoption of agentic shopping expected to jump from 19% to 46% by the end of 2026.

  4. Similarweb / Modern Retail. (2026). AI-driven traffic to Amazon has more than doubled over the past six months, driving about 13.9 million visits in June.

  5. Bank of America & Stifel. (2026). Shopify upgraded to Buy, citing agentic commerce as the next growth catalyst.

  6. Visa. (2026). Visa Intelligent Commerce platform for agentic commerce. Partnership with OpenAI to enable secure Visa payments within agentic commerce.

  7. Salesforce. (2026). Agentforce Commerce generally available with Shopper, Buyer, and Merchant Agents.

  8. Google. (2026). Agent2Agent (A2A) protocol for AI agent discovery and communication.