Returns and ID checks slowed global support. AI now automates these flows on WhatsApp and voice, matching tone to local markets.
A British multinational fashion retailer operating across 83 countries, managing its own label alongside partner brands like Gap and Victoria's Secret.
Rapid global expansion required scaling support across diverse markets while maintaining the brand's specific professional yet approachable tone....
Next's Customer support is part of this use case:
Multichannel retailer of fashion, beauty, and home products.
AI agent platform for autonomous enterprise customer service.
Related implementations across industries and use cases
Generic queries clogged phone lines. AI now resolves 60% of app inquiries, freeing advisors to solve complex customer issues.
Bots failed on complex returns, forcing calls. AI agents now use live supply chain data to resolve 60% of WhatsApp inquiries.
Refund and tracking requests overwhelmed agents. AI now automates routines, while live guidance helps staff resolve complex issues.
Generic queries clogged phone lines. AI now resolves 60% of app inquiries, freeing advisors to solve complex customer issues.
Bots failed on complex returns, forcing calls. AI agents now use live supply chain data to resolve 60% of WhatsApp inquiries.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.
Returns and ID checks slowed global support. AI now automates these flows on WhatsApp and voice, matching tone to local markets.
A British multinational fashion retailer operating across 83 countries, managing its own label alongside partner brands like Gap and Victoria's Secret.
Rapid global expansion required scaling support across diverse markets while maintaining the brand's specific professional yet approachable tone....
Next's Customer support is part of this use case:
Multichannel retailer of fashion, beauty, and home products.
AI agent platform for autonomous enterprise customer service.
Related implementations across industries and use cases
Generic queries clogged phone lines. AI now resolves 60% of app inquiries, freeing advisors to solve complex customer issues.
Bots failed on complex returns, forcing calls. AI agents now use live supply chain data to resolve 60% of WhatsApp inquiries.
Refund and tracking requests overwhelmed agents. AI now automates routines, while live guidance helps staff resolve complex issues.
Generic queries clogged phone lines. AI now resolves 60% of app inquiries, freeing advisors to solve complex customer issues.
Bots failed on complex returns, forcing calls. AI agents now use live supply chain data to resolve 60% of WhatsApp inquiries.
Store managers lost applicants to a 10-day hiring cycle. Now, an AI agent screens and schedules via text, saving thousands of hours.
Shoppers built lists item-by-item. Now, they build full baskets in one prompt, while staff automate internal workflows.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.