Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
A global technology provider powering online marketplaces and retail media for leading brands and retailers.
Scaling operations created bottlenecks in catalog onboarding, where manual categorization delayed time-to-revenue. Internal teams also faced friction...
“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—for their individual purpose or to redefine workflows in their teams to bring more value to the user.”
SaaS platform for enterprise marketplaces, dropshipping, and retail media.
AI research and deployment company developing generative models and tools.
Mirakl's Marketplace operations is part of this use case:
Related implementations across industries and use cases
Associates manually routed complex tickets and managed 47K product tags. Now, AI agents triage requests and classify attributes.
Generic queries clogged phone lines. AI now resolves 60% of app inquiries, freeing advisors to solve complex customer issues.
Data scattered across 700 tables forced operators to perform 100 daily manual tasks. Now, AI agents autonomously execute these workflows.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Managers spent hours manually calling applicants, losing many to delays. Now, an AI agent screens and auto-schedules interviews via text.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
A global technology provider powering online marketplaces and retail media for leading brands and retailers.
Scaling operations created bottlenecks in catalog onboarding, where manual categorization delayed time-to-revenue. Internal teams also faced friction...
“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—for their individual purpose or to redefine workflows in their teams to bring more value to the user.”
SaaS platform for enterprise marketplaces, dropshipping, and retail media.
AI research and deployment company developing generative models and tools.
Mirakl's Marketplace operations is part of this use case:
Related implementations across industries and use cases
Associates manually routed complex tickets and managed 47K product tags. Now, AI agents triage requests and classify attributes.
Generic queries clogged phone lines. AI now resolves 60% of app inquiries, freeing advisors to solve complex customer issues.
Data scattered across 700 tables forced operators to perform 100 daily manual tasks. Now, AI agents autonomously execute these workflows.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Managers spent hours manually calling applicants, losing many to delays. Now, an AI agent screens and auto-schedules interviews via text.
On-premise systems, dispersed and brittle, bottlenecked every release. AI agents now run routine dev steps — hours cut to minutes.
A mistranslated word could derail global R&D projects. Now, researchers instantly refine technical papers & communicate seamlessly across languages.