Overview
Mirakl is positioning itself not merely as a platform provider, but as an infrastructure layer for agentic commerce, signaling a major shift in how marketplaces operate. The company's internal strategy has evolved beyond simply enabling employees to use AI tools; the current mandate is for every worker to become a builder of specialized AI agents designed to redefine workflows. This move represents a fundamental change in operational capability, transforming AI from a specialized tool into a core, scalable business function.
The results of this internal focus are already quantifiable. Technical documentation creation saw a 70% acceleration using ChatGPT Enterprise, and customer support efficiency improved by 37% while maintaining a high 96% customer satisfaction rate. These metrics demonstrate that Mirakl is treating AI not as an optimization play, but as a systemic capability designed to scale value across complex, cross-team workflows.
The breakthrough application, however, lies in catalog onboarding. By implementing an AI-native Catalog Transformer, Mirakl achieved a 91% reduction in onboarding time and cut categorization errors by approximately 50%. This level of automation drastically improves time-to-revenue and ensures a higher quality data experience for merchants—a critical factor in the modern, high-velocity marketplace economy.
The Shift from Consumption to Creation
The Shift from Consumption to Creation
Mirakl’s approach to AI is defined by a cultural pivot: the company moved from the initial vision of "everyone uses AI" to the current focus on "everyone builds with AI." This distinction is crucial, as it elevates the role of the employee from a consumer of AI output to an architect of automated processes. The goal is to identify the most complex, cross-functional workflows and focus leadership energy on building autonomous agents to handle them.
This internal focus on building agents, rather than just consuming them, positions Mirakl to solve systemic operational bottlenecks. For example, the technical writing team leveraged ChatGPT Enterprise to dramatically accelerate product documentation. This wasn't just about saving minutes; it was about achieving consistency and speed across a massive, growing product suite, a feat that was previously resource-intensive and prone to human error.
The operational gains in customer support further illustrate this shift. By deploying a dedicated AI agent trained on Mirakl’s internal documentation, the company managed to boost efficiency by 37%. Crucially, this improvement was achieved without sacrificing customer experience, maintaining a 96% satisfaction rate. Furthermore, the agents provide instant, multi-language support, effectively meeting the demands of a global customer base that requires 24/7 availability.
Scaling Value Through Agentic Workflows
The product strategy mirrors the internal cultural evolution. Mirakl is moving AI functionality away from simple assistance and toward autonomous action on behalf of the user. While human oversight remains necessary for judgment and nuance, the system is designed to execute structured, complex workflows independently. This is the definition of agentic commerce: systems that can act across multiple steps without constant human prompting.
The catalog onboarding process exemplifies this systemic value scaling. Traditionally, onboarding new merchants involves tedious, error-prone manual data entry and categorization. The AI-native Catalog Transformer bypasses much of this friction. By cutting onboarding time by 91% and reducing categorization errors by half, Mirakl is fundamentally improving the data quality and speed at which merchants can go live. This isn't an incremental feature update; it is a foundational improvement to the marketplace's core engine.
Leadership lessons derived from this rollout emphasize targeting the hardest, highest-value customer problems first. The implication is that the most immediate and measurable value is found where the problem is both large and widely felt. The company is also stressing the importance of building at the edge—learning faster than competitors—and measuring success not just on output, but on whether users trust the output enough to treat it as if they created it themselves.
The Future of Commerce: Mirakl Nexus
The ultimate destination for Mirakl’s AI capabilities is agent-driven commerce, a phase where AI agents manage the entire shopper and merchant journey. This vision extends far beyond simple product listings; it encompasses discovery, comparison, purchasing, delivery tracking, and even post-sale service workflows.
To support this complex, multi-faceted environment, Mirakl is developing Mirakl Nexus. This infrastructure is explicitly designed for agent-native commerce, meaning it must handle complexities that traditional e-commerce platforms struggle with. Key capabilities include supporting multi-merchant baskets, managing highly complex transaction flows, and ensuring seamless integration with diverse retailer systems globally.
Adrien Nussenbaum, Co-founder & Co-CEO, has framed the ambition beyond simple optimization. The goal is to set objectives—concerning scale, timing, reach, and impact—that are far greater than what was previously considered possible. This suggests that the next generation of marketplaces will not be defined by their listing capacity, but by the sophistication and autonomy of the agents managing the transactions within them.
