Mirakl Agentic Commerce Vision and AI Implementation

Mirakl is implementing an agent-centric AI strategy that transforms employees from AI users into agent builders and evolves its product suite toward agent-native commerce. This shift has resulted in a 91% reduction in catalog onboarding time and a 37% efficiency increase in customer support.

Internal AI Transformation: From Users to Builders

Mirakl has shifted its internal cultural mandate from ensuring all employees use AI to ensuring 100% of employees are builders of agents. This strategy focuses on empowering staff to design and own agents that redefine team workflows and deliver higher user value.

According to Anne-Claire Baschet, Chief Data & AI Officer at Mirakl:

‘The initial vision was 100% of Mirakl workers use AI. We shifted a few months ago to 100% of Mirakl workers being builders of agents‘

Quantifiable AI Impact and Results

Mirakl's deployment of AI agents across internal and external workflows has produced the following measurable results:

  • Catalog Onboarding: The AI-native Catalog Transformer reduced onboarding time by 91% and decreased categorization errors by approximately 50%, directly improving data quality and conversion rates.
  • Customer Support: AI agents providing multi-language, 24/7 support based on company documentation improved efficiency by 37% while maintaining a 96% customer satisfaction rate.
  • Technical Documentation: The use of ChatGPT Enterprise reduced the time required to create internal technical documentation by 70% and increased consistency across teams.

Strategic Framework for AI Implementation

Mirakl leadership emphasizes that AI value is derived from the combination of the problem, the model, and the experience. To maximize impact, the company follows five core leadership principles:

  1. Prioritize High-Value Problems: Focus on the hardest and most widely felt customer problems first.
  2. Early Adoption: Build at the technological edge rather than waiting for technology to mature.
  3. Human-Centric Control: Success is measured by whether users trust the output as if they had created it themselves.
  4. Holistic Integration: Value requires the problem, model, and experience to work in unison.
  5. System-Level Ambition: AI should be used for system-level transformation rather than incremental feature optimization.

As Co-founder & Co-CEO Adrien Nussenbaum states:

‘When you embrace AI, think about objectives‘scale, timing, reach, impact‘ that are far greater than what you‘re used to planning for.‘

Future Roadmap: Mirakl Nexus and Agent-Driven Commerce

Mirakl envisions a future where AI agents act on behalf of both shoppers and merchants across the entire commerce lifecycle, including discovery, comparison, purchasing, delivery tracking, and after-sales service.

To support this transition, Mirakl is developing Mirakl Nexus, an infrastructure designed for agent-native commerce. Mirakl Nexus provides the following capabilities:

  • Support for multi-merchant baskets.
  • Handling of complex transaction flows.
  • Integration with existing retailer systems.
  • A scalable foundation for agent-driven shopping and service experiences.

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