37M product listings, and shoppers navigated alone. Now Lu guides the whole journey—search to checkout—inside WhatsApp.
A Brazilian omnichannel retailer with a marketplace of 300,000 sellers and more than 37 million product listings, with a track record as an early AI adopter across inventory management, marketing, and sales.
Traditional e-commerce requires customers to search, filter, and navigate complex product catalogs independently to find what they need. Consumer...
“This is the dream of decades. The idea of customizing a store window for every consumer has been discussed for years. Now, it’s finally becoming real.”
Omnichannel retail and e-commerce platform in Brazil.
Provided the WhatsApp platform and API to host the conversational AI shopping experience.
Magalu's Shopping assistant is part of this use case:
Related implementations across industries and use cases
Sizing doubts held back shoppers. Virtual try-ons and a Gemini agent now visualize fit and answer queries, lifting conversion 2.6x.
Classifying 100 comments took an hour, forcing sampling. Llama 3.3 now sorts every review by issue type to prioritize fixes.
Online shoppers browsed without guidance. A white-glove AI assistant now interprets needs, driving 2x conversion volume vs search.
Online shoppers browsed without guidance. A white-glove AI assistant now interprets needs, driving 2x conversion volume vs search.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
16.5 hours to a first reply—on 9,500 inquiries a week. Launched the day before Black Friday, AI agents now close 42% without a human.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
Fragmented legacy tools bottlenecked underwriters. A unified platform and GenAI assistant now automate data extraction across 25 countries.
30 minutes per letter, 1,000+ sent per rep each year. AI now drafts and transcribes; no message reaches a customer without a human review.
37M product listings, and shoppers navigated alone. Now Lu guides the whole journey—search to checkout—inside WhatsApp.
A Brazilian omnichannel retailer with a marketplace of 300,000 sellers and more than 37 million product listings, with a track record as an early AI adopter across inventory management, marketing, and sales.
Traditional e-commerce requires customers to search, filter, and navigate complex product catalogs independently to find what they need. Consumer...
“This is the dream of decades. The idea of customizing a store window for every consumer has been discussed for years. Now, it’s finally becoming real.”
Omnichannel retail and e-commerce platform in Brazil.
Provided the WhatsApp platform and API to host the conversational AI shopping experience.
Magalu's Shopping assistant is part of this use case:
Related implementations across industries and use cases
Sizing doubts held back shoppers. Virtual try-ons and a Gemini agent now visualize fit and answer queries, lifting conversion 2.6x.
Classifying 100 comments took an hour, forcing sampling. Llama 3.3 now sorts every review by issue type to prioritize fixes.
Online shoppers browsed without guidance. A white-glove AI assistant now interprets needs, driving 2x conversion volume vs search.
Online shoppers browsed without guidance. A white-glove AI assistant now interprets needs, driving 2x conversion volume vs search.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
16.5 hours to a first reply—on 9,500 inquiries a week. Launched the day before Black Friday, AI agents now close 42% without a human.
Workflows collapsed when staff changed roles. A meta-agent now turns plain-language descriptions into live agents—no AI team needed.
Fragmented legacy tools bottlenecked underwriters. A unified platform and GenAI assistant now automate data extraction across 25 countries.
30 minutes per letter, 1,000+ sent per rep each year. AI now drafts and transcribes; no message reaches a customer without a human review.