Fragmented backends, each brand with its own voice. Agentforce handles order queries across all — adding a brand is a config, not a rebuild.
The world's leading beauty company, with dozens of global brands each selling directly to consumers through its own branded website.
Consumers expect conversational chat support at any hour, but every interaction had to reflect each brand's distinct voice, from YSL to Kiehl's....
Global manufacturer and retailer of cosmetics, skincare, and beauty products.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
L'Oréal's Order status support is part of this use case:
Related implementations across industries and use cases
Peak season required 300 temps to manage 9,000 daily cases. An AI agent now handles the volume across 19 countries with zero backlog.
Millions of questions across 2,000+ brands. Building a separate AI for each wasn't viable. One agent now handles all—and hands off cleanly.
Untagged, long articles confused the agent. AI summarized data to fix retrieval, matching the NPS of human teams.
Peak season required 300 temps to manage 9,000 daily cases. An AI agent now handles the volume across 19 countries with zero backlog.
Every Madi update was gated by external engineers. Now the Color Crew—no engineering background—builds and ships new workflows themselves.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Every asset needed manual checks on science, claims, and local rules, adding weeks. 14 AI agents now flag issues; experts decide.
New subscribers churned before anyone called—too costly to reach them all. An AI agent now calls every one; early cancellations halved.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.
Fragmented backends, each brand with its own voice. Agentforce handles order queries across all — adding a brand is a config, not a rebuild.
The world's leading beauty company, with dozens of global brands each selling directly to consumers through its own branded website.
Consumers expect conversational chat support at any hour, but every interaction had to reflect each brand's distinct voice, from YSL to Kiehl's....
Global manufacturer and retailer of cosmetics, skincare, and beauty products.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
L'Oréal's Order status support is part of this use case:
Related implementations across industries and use cases
Peak season required 300 temps to manage 9,000 daily cases. An AI agent now handles the volume across 19 countries with zero backlog.
Millions of questions across 2,000+ brands. Building a separate AI for each wasn't viable. One agent now handles all—and hands off cleanly.
Untagged, long articles confused the agent. AI summarized data to fix retrieval, matching the NPS of human teams.
Peak season required 300 temps to manage 9,000 daily cases. An AI agent now handles the volume across 19 countries with zero backlog.
Every Madi update was gated by external engineers. Now the Color Crew—no engineering background—builds and ships new workflows themselves.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Every asset needed manual checks on science, claims, and local rules, adding weeks. 14 AI agents now flag issues; experts decide.
New subscribers churned before anyone called—too costly to reach them all. An AI agent now calls every one; early cancellations halved.
Data siloed across five products, no shared identity. A unified ID and AI trained on slang now complete cancellations inside the chat.