Disputes required time-consuming manual mediation. Custom AI agents now decide complex cases and trigger resolutions autonomously.
Latin America’s largest e-commerce and fintech company employs 17,000 developers to manage over 30,000 microservices across a massive digital ecosystem.
Resolving disputes between buyers and sellers required time-consuming human mediation that previous automation tools could not handle. The...
“Using AI for cataloging and summarizing reviews is interesting and helpful, but not transformational. We needed a solution that could handle intricate, high-stakes tasks autonomously and more efficiently than human operators.”
E-commerce marketplace and payments platform for the Latin American market.
AI research and deployment company developing generative models and tools.
Mercado Libre's Customer dispute resolution is part of this use case:
Related implementations across industries and use cases
Classifying 100 comments took an hour, forcing sampling. Llama 3.3 now sorts every review by issue type to prioritize fixes.
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Bots failed on complex returns, forcing calls. AI agents now use live supply chain data to resolve 60% of WhatsApp inquiries.
Bots failed on complex returns, forcing calls. AI agents now use live supply chain data to resolve 60% of WhatsApp inquiries.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
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.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.
Disputes required time-consuming manual mediation. Custom AI agents now decide complex cases and trigger resolutions autonomously.
Latin America’s largest e-commerce and fintech company employs 17,000 developers to manage over 30,000 microservices across a massive digital ecosystem.
Resolving disputes between buyers and sellers required time-consuming human mediation that previous automation tools could not handle. The...
“Using AI for cataloging and summarizing reviews is interesting and helpful, but not transformational. We needed a solution that could handle intricate, high-stakes tasks autonomously and more efficiently than human operators.”
E-commerce marketplace and payments platform for the Latin American market.
AI research and deployment company developing generative models and tools.
Mercado Libre's Customer dispute resolution is part of this use case:
Related implementations across industries and use cases
Classifying 100 comments took an hour, forcing sampling. Llama 3.3 now sorts every review by issue type to prioritize fixes.
Manual categorization delayed revenue. Staff-built agents now auto-classify products for 91% faster onboarding, with human oversight.
Bots failed on complex returns, forcing calls. AI agents now use live supply chain data to resolve 60% of WhatsApp inquiries.
Bots failed on complex returns, forcing calls. AI agents now use live supply chain data to resolve 60% of WhatsApp inquiries.
Escalations from 2.5M daily transactions bottlenecked teams. Multi-agent AI now dynamically routes and resolves complex payment issues.
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.
A 200% yearly data expansion bottlenecked global operations. Now, AI accelerates coding, drafts recipe cards, and resolves inquiries.
Moderation couldn't keep pace with 600M users. AI agents now filter toxicity while models recognize 2.5B objects to refine search.