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
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Classifying 100 comments took an hour, forcing sampling. Llama 3.3 now sorts every review by issue type to prioritize fixes.
Bots failed on complex returns, forcing calls. AI agents now use live supply chain data to resolve 60% of WhatsApp inquiries.
Online shoppers browsed without guidance. A white-glove AI assistant now interprets needs, driving 2x conversion volume vs search.
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.
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Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.
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
Bots failed on complex returns, forcing calls. AI agents now use live supply chain data to resolve 60% of WhatsApp inquiries.
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.
Bots failed on complex returns, forcing calls. AI agents now use live supply chain data to resolve 60% of WhatsApp inquiries.
Online shoppers browsed without guidance. A white-glove AI assistant now interprets needs, driving 2x conversion volume vs search.
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.
Analyzing 200-page reports took senior reps hours. Now, AI extracts key insights, empowering any sales rep to build tailored client decks.
Shifting to B2B sales exposed disconnected workflows and anecdotal forecasts. Now, AI analyzes interactions to surface deal intelligence.