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# Agentic AI Shopping Layers
Commercetools AgenticLift Connects Legacy Commerce To AI Buying

By Colin Smith | Written with AI assistance | Published 2026-01-27 | Tech
Source: Trend Hunter, https://www.trendhunter.com/trends/Commercetools-AgenticLift
References: [digitalcommerce360](https://www.digitalcommerce360.com/2026/01/21/commercetools-introduces-standalone-agentic-commerce-product/) & [commercetools](https://commercetools.com/press-releases/commercetools-launches-agenticlift)

![Agentic AI Shopping Layers](https://cdn.trendhunterstatic.com/thumbs/597/Commercetools-AgenticLift.jpeg)

Commercetools has launched AgenticLift, a standalone agentic commerce layer that connects enterprise commerce stacks to AI-driven shopping channels. Rather than forcing a replatform, the product sits on top of existing systems and exposes product data and transaction logic to AI agents. It targets large organizations that want to participate in AI-influenced buying journeys while maintaining their current commerce infrastructure.

AgenticLift plugs into commercetools’ AI Hub, which supplies real-time access to catalog, pricing, and transaction data under enterprise-grade security and governance. The layer supports agent-led discovery, cart creation, and checkout workflows that surface inside AI assistants such as ChatGPT, [Google](https://www.trendhunter.com/trends/Agentic-commerce-platforms) Gemini, and [Microsoft](https://www.trendhunter.com/trends/ai-chat-shopping-systems) Copilot. commercetools has aligned the product with emerging agentic commerce protocols, including the Model Context Protocol and [Stripe’s](https://www.trendhunter.com/trends/glup) Agentic Commerce Protocol.

For enterprises across retail, manufacturing, and distribution, AgenticLift provides a controlled path to test and scale AI-powered buying experiences. Teams can keep their business rules, compliance frameworks, and pricing logic intact while exposing shoppable experiences to AI intermediaries. The release reflects a broader shift toward modular, AI-ready commerce architectures that prioritize interoperability over full-stack replacement.

Image Credit: Commercetools

## Trend Insights (Trend Hunter)

- Score: 6.8/10
- Popularity: 65% | Activity: 77% | Freshness: 61%
- Audience gender: 50% men, 50% women
- Primary generations: Millennial, Gen X
- Top markets: North America, Europe, Asia

## Categories

[Trend Hunter](https://www.trendhunter.com/trends) > [Tech](https://www.trendhunter.com/tech) > [AI](https://www.trendhunter.com/ai)

## Key Themes

### What's Driving This Trend

- **AI-driven Shopping Experiences:** Companies are exploring AI-driven shopping experiences that integrate seamlessly with existing commerce systems, offering shoppers personalized and efficient buying journeys.
- **Agentic Commerce Protocols:** The introduction of agentic commerce protocols supports the creation of AI-compatible transaction workflows, enhancing the precision and personalization of retail interactions.
- **Modular Commerce Layers:** Businesses are pivoting towards modular commerce layers that prioritize AI interoperability and allow for flexible, adaptive shopping infrastructures without the need for replatforming.

### Who This Affects Most

- **Retail Technology:** Retail technology is being reshaped by AI advancements enabling new layers of personalization and efficiency through non-disruptive solutions like agentic shopping layers.
- **Enterprise Software:** Enterprise software solutions are increasingly incorporating AI capabilities that align with existing business infrastructures, facilitating a seamless transition to AI-enhanced operations.
- **E-commerce Platforms:** E-commerce platforms are evolving to support AI-driven functionalities that enrich user interaction and streamline digital transactions across diverse retail ecosystems.

## Related on Trend Hunter

- [AI-Enhanced Commerce Tools](https://www.trendhunter.com/trends/aipowered-intelligence-layer.md)
- [Automated AI Shopping Assistants](https://www.trendhunter.com/trends/visa-intelligent-commerce.md)
- [Agentic Shopping Experiences](https://www.trendhunter.com/trends/buy-with-ai.md)
- [AI Retail Forecasts](https://www.trendhunter.com/trends/ai-will-reshape-commerce.md)
- [Enterprise AI Automation](https://www.trendhunter.com/trends/agentic-ai-tools.md)
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- [AI-Powered Personalized Shopping Features](https://www.trendhunter.com/trends/instacart-ai-solutions.md)
- [AI-Powered Shopping Tools](https://www.trendhunter.com/trends/target-7.md)
- [Agentic Retail Platforms](https://www.trendhunter.com/trends/levi-strauss.md)
