Mirakl drives AI agents that transform commerce | Keryc
Mirakl is betting that the next phase of commerce will be driven by AI agents acting on behalf of buyers and merchants. Their bet? Not just that everyone uses AI, but that everyone builds with AI to change how work gets done and how products are sold on marketplaces.
Why does that matter to you? Because building agents shifts agency to the people who know the problems best — your teams — and that usually leads to tools people actually adopt.
Vision and cultural shift
Mirakl moved from a simple slogan, "everyone uses AI", to a bolder one: "everyone builds agents with AI". That means employees aren’t just consumers of answers; they design and own the agents that rewire workflows inside their teams.
Mirakl believes value comes from scaling solutions: identify complex or cross-team flows and focus leadership energy to make them real.
Why is this important? When the people who live the problem build the solution, the result is often more useful and more likely to be adopted. Haven’t you noticed the best tools solve a pain you actually experience every day?
Concrete results that show impact
The numbers are clear — these aren’t vague promises. Mirakl shares measurable improvements across key areas:
70% less time to create internal technical documentation using ChatGPT Enterprise.
37% improvement in customer support efficiency while maintaining 96% satisfaction.
91% faster catalog onboarding with the AI-native Catalog Transformer.
About 50% fewer categorization errors, improving data quality and conversion.
AI agents operate 24/7 and in multiple languages, meeting global support expectations.
Those results aren’t just about speed; they’re about quality, user trust, and time to revenue.
From assistant to an agent that acts on the user's behalf
Mirakl’s product strategy evolved: from AI as assistance to AI that executes structured tasks on the user’s behalf, while keeping humans in charge of judgment and nuance.
Practical examples:
Internal documentation: technical writers cut a lot of writing time and improved consistency across teams.
Customer support: an agent that answers based on Mirakl’s documentation boosted efficiency and let humans focus on higher-value cases.
Catalog onboarding: the Catalog Transformer is the operational breakthrough, cutting onboarding time and reducing critical errors.
All of this shows a pattern: automate repeatable tasks and leave critical decisions to humans.
Mirakl Nexus: infrastructure for agent-driven commerce
Mirakl doesn’t just build agents; it prepares the foundation for those agents to operate in real commerce. Mirakl Nexus is infrastructure designed for agent-native commerce and includes:
Support for baskets with multiple merchants.
Handling of complex transaction flows.
Integrations with retailer systems.
A scalable foundation for agent-powered shopping and service experiences.
The idea is that businesses don’t have to rebuild their entire architecture to take advantage of smart agents. Mirakl offers ready-to-use connections and operations.
Practical lessons for companies that want to move now
Mirakl doesn’t preach blind faith in technology. It offers a method: clear priorities and disciplined execution. Key points:
Start with the customer problems that are hardest and most impactful.
Don’t wait for the tech to "mature"; build at the edge to learn faster than competitors.
Keep users in control and measure whether they trust the output as if they’d created it themselves.
AI success is the mix of the right problem, the right model, and the right user experience.
Don’t stay trapped in small optimizations; aim for system-level change and scale.
If you get ambitious, your goals change: more reach, different timing, and bigger impact than the typical feature backlog.
Final reflection
The most interesting thing here isn’t just the technology — it’s the cultural bet: making the people inside the company the builders of agents. When adoption goes hand in hand with ownership, AI stops being a black box and becomes a palette of tools that solve real problems. And you? What workflow on your team would be radically different if an agent worked for you 24/7?
