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Adidas Launches Ecommerce-as-a-Service With AI Agents

Adidas launches an Ecommerce-as-a-Service (EaaS) model powered by Salesforce AI agents. Discover how this B2B pivot unlocks $100M+ in new revenue.

C Carlos Martínez Barriga 6 min read
Adidas B2B technology platform displaying automated ecommerce operations powered by AI agents for global retail brands
Ecommerce-as-a-Service (EaaS) is a business model where established brands rent out their digital commerce infrastructure and logistics to third parties. Adidas is pioneering this space by managing the Audi F1 Team’s global online store using autonomous AI agents.
Table of contents

Executive summary

  • Adidas has transformed from a traditional apparel brand into a B2B tech provider, launching an Ecommerce-as-a-Service (EaaS) model for the new Audi Revolut F1 Team.

  • Powered by Salesforce AI agents, they deployed a global webshop spanning 200 countries and 100 currencies in a blistering 8 weeks.

  • This pivot unlocks a projected $100M+ new revenue stream, proving that the future of retail is renting out your automated infrastructure.

  • The wake-up call for your team: If you are still drowning in manual catalog updates, you are bringing a knife to an AI gunfight.

Imagine the scene. You wake up, pour your coffee, and check the industry news, only to find out your biggest competitor isn’t just selling more products than you. They are now selling the very infrastructure needed to run an entire global retail operation.

That is exactly what happened this week.

Adidas just blurred the line between apparel manufacturer and SaaS provider. They took over the ecommerce operations for the highly anticipated Audi Revolut F1 Team, doing all the heavy lifting so Audi doesn’t have to lift a finger. And they did it at a speed that should terrify any COO still relying on manual workflows.

The $100M pivot nobody saw coming

According to Digital Commerce 360, Adidas senior project manager Dominik Seeberger revealed that this new EaaS model is a massive revenue unlock for the brand, potentially exceeding $100 million. They built and launched the Audi F1 portal in exactly eight weeks.

Eight weeks.

Let that sink in. Most enterprise brands take eight weeks just to approve a new website header. How did they pull this off? By making AI the core engine of their operations, rather than a bolted-on afterthought. This is a textbook example of how AI agents in ecommerce drive sales and ROI, shifting the focus from basic chatbots to autonomous systems that handle inventory, localization, and customer service across 200 countries.

They offer a global checkout supporting 100 currencies. They run 24/7 customer service globally. All powered by technology that operates quietly in the background.

$100M+

Estimated new business value unlocked by Adidas through their EaaS model.

Source: Digital Commerce 360 (June 2026)

Why your digital roadmap is already obsolete

Here is where the majority of brand managers get it wrong. You think AI is a tool to write better product descriptions. It is not. AI is the new infrastructure layer.

While your team is bogged down trying to manually map product data for different regional marketplaces, companies embracing the EaaS model use agentic workflows to automate the entire data pipeline. If you want to understand the mechanics of how massive datasets fuel these decisions in real-time, you only need to look at frameworks like the MCP Snowflake: Connecting AI Agents to Data Clouds. The AI doesn’t just read the data. It acts on it.

Audi chose Adidas because they wanted zero friction. As Audi gears up for its 2026 Formula 1 debut, their focus is on the track, not on setting up warehouses in Singapore or managing returns in Brazil. They rented Adidas’s AI-powered supply chain.

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Renting out the retail engine

Think about what this means for your own brand. If your digital operations are robust enough, they become a product you can sell to others. If they are weak, you will eventually be forced to rent someone else’s.

Traditional Retail ModelEaaS Model (Agent-Powered)
Sell owned products to end consumers.Sell operational capacity to other brands.
Human teams manage localized pricing and support.AI agents autonomously handle 100+ currencies and 24/7 global support.
Months to launch a new geographic portal.8 weeks to launch a full global footprint.

This shift requires a fundamental change in how you treat your digital infrastructure. It echoes insights from the Microsoft Futurist on Scaling Enterprise AI Agents: the companies that win will be those that deploy agents not to assist humans with busywork, but to execute entire operational workflows end-to-end.

Epinium data

Brands that fully integrate AI agents into their catalog and channel management experience an 85% reduction in manual data entry within the first quarter of deployment. (Internal Epinium estimation).

Frequently Asked Questions

What is Ecommerce-as-a-Service (EaaS)?

EaaS is a business model where a company provides its end-to-end ecommerce infrastructure—including web development, checkout, AI customer service, and global fulfillment—to another brand. Instead of just selling products, the provider sells their operational capability.

How is Adidas using Salesforce AI agents?

Adidas uses these agents to handle complex backend tasks autonomously. This includes managing multi-currency checkouts, providing 24/7 localized customer support, and bridging inventory data across 200 countries without requiring massive human intervention.

Why did Audi choose Adidas for their F1 team merchandise?

Audi wanted to focus purely on their motorsport debut in 2026. By partnering with Adidas, they secured a premium, fully functional global retail channel in just eight weeks, avoiding the immense cost and distraction of building their own logistics network.

How do AI agents improve global checkout?

They automatically adjust pricing based on real-time exchange rates across 100 currencies, handle localized tax compliance, and route orders to the most efficient fulfillment centers. It removes the friction of international scaling.

What should CTOs and COOs do right now?

Audit your current operational bottlenecks. If your team is spending hours on manual catalog updates or localized customer service, you need to transition to an agent-based architecture immediately, or risk losing market share to competitors who operate faster and cheaper.

You have a choice to make. You can keep treating AI as an experimental side project. Or you can recognize it for what it truly is: the foundation of modern commerce. The brands that understand this are already building the platforms of tomorrow. The rest are just waiting to become obsolete.

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