39 categories left shoppers guessing; support swamped with routine calls. Agentforce now covers the catalog, the cart, and what comes after.
A global consumer appliance company with 39 product categories and $5.5 billion in annual revenue, growing 25% year over year.
With dozens of products spanning beauty, cooking, cleaning, and more, online shoppers struggled to compare options and discover accessories, causing...
“Agentforce takes us to a whole new level. We offer so much, and now Agentforce can help our customers navigate all of it to find exactly what they need. We want to delight them so much that they come back and buy the next thing.”
Manufacturer of household appliances, kitchen electronics, and beauty products.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
SharkNinja's Guided shopping is part of this use case:
Related implementations across industries and use cases
Agents manually searched 10,000 docs. AI now guides diagnostics and ensures techs arrive with parts, cutting call times by 50%.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.
Three agents left buyers waiting 10+ hours. An AI agent now resolves 84% of inquiries instantly, driving a 130% increase in sales.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Seasonal surges overwhelmed 600 specialists. Now, AI agents autonomously resolve order tracking and FAQs using real-time data.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Disconnected systems trapped buyer data and complicated B2B orders. Now, AI-powered commerce unifies buying across showrooms and screens.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
39 categories left shoppers guessing; support swamped with routine calls. Agentforce now covers the catalog, the cart, and what comes after.
A global consumer appliance company with 39 product categories and $5.5 billion in annual revenue, growing 25% year over year.
With dozens of products spanning beauty, cooking, cleaning, and more, online shoppers struggled to compare options and discover accessories, causing...
“Agentforce takes us to a whole new level. We offer so much, and now Agentforce can help our customers navigate all of it to find exactly what they need. We want to delight them so much that they come back and buy the next thing.”
Manufacturer of household appliances, kitchen electronics, and beauty products.
AI-powered CRM platform for sales, service, marketing, and commerce teams.
SharkNinja's Guided shopping is part of this use case:
Related implementations across industries and use cases
Agents manually searched 10,000 docs. AI now guides diagnostics and ensures techs arrive with parts, cutting call times by 50%.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.
Three agents left buyers waiting 10+ hours. An AI agent now resolves 84% of inquiries instantly, driving a 130% increase in sales.
Online shoppers lacked guidance to navigate 26,000 appliances. An AI agent now matches natural queries to technical specs, driving sales.
Seasonal surges overwhelmed 600 specialists. Now, AI agents autonomously resolve order tracking and FAQs using real-time data.
Disparate tools slowed 320,000 employees. Unifying on Teams and Copilot connected the workforce and embedded AI into daily habits.
Disconnected systems trapped buyer data and complicated B2B orders. Now, AI-powered commerce unifies buying across showrooms and screens.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.