Retail

Agentic commerce

Your next customer might be an agent. AI is taking on an active role in discovering, comparing, and even shopping on behalf of consumers. There's a real advantage for retailers who get ahead of it.

A new kind of customer is entering the store

Retail has weathered major disruptions before. Each one, search, social, and marketplaces, rewrote the rules of discovery and conversion. Agentic commerce is the next one, and it's moving faster than most.

AI agents are beginning to shop on behalf of consumers: searching, comparing, and completing purchases without a human ever visiting your site. The interface between buyer and brand is becoming a conversation the retailer isn't part of, unless they've built for it.

The businesses getting ahead of this aren't treating it as a future problem. They're auditing their data, rethinking their content strategy, and identifying where agentic AI creates real operational leverage, before the window narrows.

"Soon, AI won't just help the customer. It will become the customer."

The rules of retail are being rewritten

Visibility is no longer won on search alone

Being found by AI agents requires different data, different content strategies, and a fundamentally different understanding of discovery. If your products or brand aren't legible to large language models, they're effectively invisible in the channels that are growing fastest.

Margin at risk

If checkout migrates to AI-driven environments, high-margin advertising revenue tied to owned channels moves with it. The threat isn't immediate disintermediation, it's gradual compression, almost invisible until it isn't.

Your proprietary data is your most defensible asset

In-store expertise, loyalty history, category-specific knowledge, supply chain efficiencies: these advantages hold in an agentic world. But only if they're digitized, activated, and legible to AI systems. Waiting is not a neutral choice.

How Reaktor can help

We work with retailers to design, operationalize, and embed agentic decision-making into complex commerce ecosystems. That means building the experience layer, the architecture underneath it, and the intelligence that ties both together.

AI readiness and opportunity audit

We assess how prepared your commerce ecosystem is for AI- and agent-driven experiences, across data, architecture, and operating model. The output is a prioritized set of high-impact use cases and a clear path from opportunity to implementation.

Most retailers discover their data isn't agent-readable the same way they discover a leak: when something stops working. This audit finds the gaps before that happens.

Conversational and agentic commerce experience

We define, design, and deliver commerce experiences where customers express intent, and AI drives the outcome. That includes conversational interfaces, goal-oriented journeys, and production-ready agent behaviors that move well beyond traditional browsing.

The shopper says "I need a suit for a November wedding in Copenhagen" and leaves with the suit, the shoes, and a coat they didn't know they needed.

Agent-ready architecture

We design and build the technical foundations that agentic commerce runs on: APIs, data structures, and services configured so AI agents can consume them securely and at scale. The result is an architecture built for real-world deployment, not just proof of concept.

Your catalogue has 400,000 SKUs, your loyalty programme knows what customers bought three Christmases ago, and your supply chain updates by the hour. This makes all of that legible to an AI agent in real time.

Decisioning and orchestration systems

We build the intelligent systems that make agent-driven commerce work in practice: orchestration layers, hybrid decision engines combining rules, ML, and LLMs, and intent-level personalization delivered as integrated systems operating in real time. The right product, the right price, the right moment, without a human having to referee every call.

When retail changes, our clients don't start from scratch

We've spent years building the digital systems that power retail at a global scale, for adidas, PVH, Zalando, and others. That means when the rules of retail shift, our clients don't start from scratch. They have a partner who understands both the technology and the business model underneath it.

Agentic commerce creates real leverage, but only where it connects to genuine operational or experiential gaps. The leaders getting it right aren't chasing every model release. They're asking where AI removes structural friction, where it protects margin, and where it sharpens what makes them distinct. We help you find those answers, then build the systems to act on them.