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.
The world's largest food and beverage company, with over 2,000 brands across 185 countries, managing millions of consumer service cases annually across email, live chat, WhatsApp, and contact forms.
Delivering consistent, accurate answers across thousands of brands, multiple languages, and constantly evolving product lines grew increasingly...
“While the fundamentals of our brand growth have not changed, the skills, tools and capabilities necessary to drive brand growth in this new landscape require radical shifts.”
Global manufacturer of food, beverage, and nutritional health products.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
Nestlé's Consumer support is part of this use case:
Related implementations across industries and use cases
Fragmented backends, each brand with its own voice. Agentforce handles order queries across all — adding a brand is a config, not a rebuild.
Chatbots pointed customers at articles, not answers. Agentforce searches 50K+ manuals and walks each customer through the fix.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Chatbots pointed customers at articles, not answers. Agentforce searches 50K+ manuals and walks each customer through the fix.
Untagged, long articles confused the agent. AI summarized data to fix retrieval, matching the NPS of human teams.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
One customer, multiple policies, 60+ systems—consistency was out of reach. AI now keeps context intact across voice, WhatsApp, and chat.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.
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.
The world's largest food and beverage company, with over 2,000 brands across 185 countries, managing millions of consumer service cases annually across email, live chat, WhatsApp, and contact forms.
Delivering consistent, accurate answers across thousands of brands, multiple languages, and constantly evolving product lines grew increasingly...
“While the fundamentals of our brand growth have not changed, the skills, tools and capabilities necessary to drive brand growth in this new landscape require radical shifts.”
Global manufacturer of food, beverage, and nutritional health products.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
Nestlé's Consumer support is part of this use case:
Related implementations across industries and use cases
Fragmented backends, each brand with its own voice. Agentforce handles order queries across all — adding a brand is a config, not a rebuild.
Chatbots pointed customers at articles, not answers. Agentforce searches 50K+ manuals and walks each customer through the fix.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Chatbots pointed customers at articles, not answers. Agentforce searches 50K+ manuals and walks each customer through the fix.
Untagged, long articles confused the agent. AI summarized data to fix retrieval, matching the NPS of human teams.
Every new meeting question triggered days of data prep. Finance teams now ask the data lake directly and test hypotheses in minutes.
Every 'why is this number moving?' queued behind the domain team. Now leaders ask Genie directly and get the answer on the spot.
One customer, multiple policies, 60+ systems—consistency was out of reach. AI now keeps context intact across voice, WhatsApp, and chat.
Agents juggling fragmented systems and memory for life-safety calls. One platform + AI copilot cut onboarding from 6 weeks to 2.