Introducing AgenticLift: How to launch AI commerce without replatforming

How AI commerce is changing the rules of digital transformation

Whenever paradigms shifted in commerce — the introduction of mobile-first shopping, omnichannel experiences and now, AI — enterprises felt compelled to modernize their technology stacks to take advantage of new opportunities. Cue months of planning, frontend rebuilds and backend modernization that could take months, if not years. 

AI and agentic commerce are changing that equation.

Unlike previous shifts in commerce, AI-driven shopping experiences are evolving in real time. Consumers are already discovering products through conversational interfaces, AI assistants and emerging agentic commerce channels that compress search, recommendation and purchase into a single interaction. The market is moving faster than traditional digital transformation timelines were designed to handle.

That creates a difficult reality for many retailers and consumer brands that already operate under significant complexity:

• Multiple commerce systems layered on top of each other over time.
• Fragmented product information spread across tools and teams.
• Custom integrations that are difficult to modify.
• Engineering teams managing overloaded roadmaps.
• Release cycles focused on stability rather than experimentation.

When AI commerce enters the conversation, many organizations instinctively assume they need to modernize their stack before they can participate. The result is often months of internal discussions around architecture strategy, platform migration and long-term transformation planning before the business has even validated whether AI-driven commerce will generate measurable demand.

While this model still makes sense for many businesses that struggle with legacy platforms, the fact is that AI and agentic commerce are changing the pace of innovation entirely. Companies that can’t wait months to tackle this opportunity also can’t afford to replatform first and “agentify” their commerce second. They need a solution that helps them activate AI commerce fast, so they can: 

• Launch AI commerce quickly. 
• Experiment rapidly.
• Learn from real customer behavior and adapt in real time. 
• Optimize continuously as AI channels evolve. 

Most importantly, they need to do it without disrupting core business operations. In the AI commerce era, competitive advantage will likely come less from the size of a transformation initiative and more from how quickly a business can activate, adapt and learn.

In other words, activation speed becomes more important than transformation scale.

A new model for fast AI commerce: Overlay-based activation

One of the more important ideas emerging in AI commerce is overlay-based activation.

The term sounds technical, but the concept is actually straightforward. Instead of rebuilding the commerce stack to support AI experiences, enterprises layer AI commerce capabilities on top of the systems they already have. This means:

• Connecting existing infrastructure rather than replacing it.
• Exposing AI-ready product data across emerging channels.
• Enabling AI-driven discovery and transactions.
• Routing orders back into existing operational systems.
• Iterating incrementally instead of transforming everything at once.

Under an overlay model, enterprises can begin participating in AI commerce quickly while preserving flexibility for the future.

That flexibility is critical right now because no one knows for sure what the dominant AI commerce interfaces will look like three years from now. 

This is particularly important because AI commerce is still in its early stages. Enterprises that activate early gain firsthand insight into how customers behave inside conversational shopping environments. They learn which products perform well, which prompts drive engagement, how AI-driven discovery changes conversion behavior and what operational adjustments are required to support these channels effectively.

Organizations that wait for a “perfect” long-term strategy may ultimately enter the market with less customer intelligence, less experimentation history and less organizational readiness than competitors who started earlier with smaller initiatives.

Long story short: Enterprises need a practical way to test and activate AI commerce without introducing unnecessary disruption. This is the context behind commercetools AgenticLift.

Rather than positioning AI commerce as a complete infrastructure replacement, AgenticLift is designed as a plug-and-play launchpad that allows enterprise retailers and consumer brands to activate AI-driven shopping experiences on top of their existing stack.

What AgenticLift actually does — and how it works

AgenticLift is designed to help enterprises become AI-commerce-ready without requiring a full replatforming initiative. It enables:

• AI discovery: Make your product catalog understandable, comparable and purchasable inside shoppers’ AI experiences. 
• Access to AI channels: Connect your product catalog, pricing and checkout data to the world’s leading AI channels, such as ChatGPT, Gemini and Copilot. 
• Agentic checkout and transactions: Go live quickly with fully AI channel-enabled checkout and payment logic. 

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Let’s explore how your business can get started with AgenticLift, step by step: 

Step 1: Start instantly 

Layer AgenticLift onto your commerce environment. 

Step 2: Plug in our data

Use a guided set-up to connect your existing commerce data, e.g., product, pricing and checkout information, with minimal engineering lift. In this step, you can add product types and attributes to the commercetools’ business tooling, the Merchant Center.

Step 3: Make your data AI-ready

Once you have uploaded your existing information, our tool will automatically structure and optimize your catalog for agentic commerce channels — without needing to learn each platform’s specifications. This includes: 

• Mapping catalog attributes to LLM-ready fields for every AI channel. 
• Detecting missing required fields instantly.
• Generating structured, AI-optimized product types in minutes.
• Configuring specific data, such as channels, currencies, zones, languages and countries. 

Step 4: Activate your catalog across the channels you need

Now that your product data is machine-readable, you can choose the agentic channels where your product catalog data will be exposed to, enabling discovery, browsing, recommendations and transactions. You can activate your catalog across leading AI channels, like ChatGPT, Gemini and Copilot, with a single integration. 

Importantly, AgenticLift isn’t trying to replace downstream operational systems. Orders generated through AI channels can be routed back into existing fulfillment infrastructure through configured export destinations such as APIs or webhooks.

5. Go live and start selling

Now, you can turn AI-driven product discovery into revenue fast — without disrupting your business. 

Why AgenticLift: Speed, security and scalability  

AgenticLift is effectively designed for organizations that want to participate in AI commerce now while maintaining optionality for the future:

• Go live in days, not months: AI-ready foundations built, secured and compliant from day one with a guided, fast-launch onboarding flow.
  
  
• Keep your stack, skip the rebuild: Connect product, pricing and inventory data seamlessly — without replatforming or backend changes.
  
  
• Start selling through AI channels fast: Launch shoppable AI experiences across discovery and checkout without disrupting your core commerce system.
  
  
• Plug in once, scale everywhere: Support emerging AI protocols, channels and agent ecosystems without rework or vendor lock-in.

That positioning becomes particularly important as the competitive landscape evolves. Some vendors are attempting to build fully integrated agentic commerce ecosystems. Others focus narrowly on checkout middleware, product data enrichment or AI protocol layers.

AgenticLift instead positions itself around activation, helping enterprise retailers and brands go live in AI shopping environments quickly without forcing immediate large-scale architectural change.

Security, governance and scalability still matter

Of course, enterprise adoption is never only about speed. Organizations also need confidence that AI-driven transactions remain secure, governed, auditable and operationally reliable.

AgenticLift addresses this through enterprise-grade security controls, governed execution and full auditability across AI-triggered transactions. The infrastructure is also designed to scale elastically so that increases in AI-driven shopping activity don’t create operational instability or revenue risk.

Those capabilities matter because AI commerce may introduce entirely new traffic and transaction patterns. Enterprises need assurance that experimentation doesn’t compromise reliability.

Conclusion: The future of AI commerce belongs to the fastest movers

For years, businesses approached new commerce opportunities through large modernization initiatives that took months or years to complete. But AI-driven commerce is evolving too quickly for traditional transformation timelines to remain the default path forward. Consumer behavior, AI interfaces and shopping experiences are already changing in real time.

The organizations that gain an advantage in this next era of commerce will be the ones able to activate quickly, experiment continuously and adapt as the ecosystem evolves. AgenticLift offers a more practical path into agentic commerce: Layering AI-ready capabilities onto existing systems so businesses can participate now while evolving over time.

With fast onboarding, low engineering lift and support for emerging AI channels, AgenticLift helps enterprises shorten the distance between AI-driven market shifts and execution. Instead of rebuilding everything before getting started, brands can begin learning, iterating and generating revenue inside AI commerce environments today.

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FAQs

Do businesses need to replatform for AI commerce?

No. Businesses can launch AI commerce using overlay solutions like AgenticLift without replacing their existing commerce stack.

What does AgenticLift do?

AgenticLift helps enterprises make product data AI-ready and launch AI-powered shopping experiences across channels like ChatGPT, Gemini and Copilot.

How fast can businesses launch with AgenticLift?

Businesses can activate AI commerce in days with guided onboarding and minimal engineering effort.

Which AI channels does AgenticLift support?

AgenticLift supports leading AI channels, including ChatGPT, Gemini and Copilot.

Why does speed matter in AI commerce?

Fast activation helps businesses experiment, learn customer behavior and adapt quickly as AI shopping evolves.

Is AgenticLift secure for enterprises?

Yes. AgenticLift includes enterprise-grade security, governance and scalable infrastructure for AI-driven transactions.