Demand spikes swamped agents with repetitive tickets. Now an AI agent fields the basics, freeing humans for complex, revenue-driving chats.
A rapidly expanding, direct-to-consumer athletic footwear brand that sells premium training shoes exclusively online and through temporary pop-up shops at major sporting events.
Unpredictable retail events like influencer posts and product drops triggered massive order spikes that overwhelmed the customer support team. Agents...
“Our brand promise is literally NOBULL—so our support has to feel approachable, direct, and genuinely helpful. Every interaction is the customer’s first impression of our brand, and it has to be meaningful.”
Athletic footwear, apparel, and nutrition brand for high-intensity training.
AI-powered customer service and employee experience software platform.
NOBULL's Customer support is part of this use case:
Related implementations across industries and use cases
Agents handled 200 tickets a day, copying replies from a Word doc. Now, AI answers routine questions, freeing agents for complex conversations.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Event surges flooded agents with the same ticket questions. Now, AI instantly resolves common queries, freeing the team for complex issues.
Agents handled 200 tickets a day, copying replies from a Word doc. Now, AI answers routine questions, freeing agents for complex conversations.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Testing physical prototypes delayed evaluations by weeks. Now, researchers use AI consumer personas to simulate product trials in hours.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.
Demand spikes swamped agents with repetitive tickets. Now an AI agent fields the basics, freeing humans for complex, revenue-driving chats.
A rapidly expanding, direct-to-consumer athletic footwear brand that sells premium training shoes exclusively online and through temporary pop-up shops at major sporting events.
Unpredictable retail events like influencer posts and product drops triggered massive order spikes that overwhelmed the customer support team. Agents...
“Our brand promise is literally NOBULL—so our support has to feel approachable, direct, and genuinely helpful. Every interaction is the customer’s first impression of our brand, and it has to be meaningful.”
Athletic footwear, apparel, and nutrition brand for high-intensity training.
AI-powered customer service and employee experience software platform.
NOBULL's Customer support is part of this use case:
Related implementations across industries and use cases
Agents handled 200 tickets a day, copying replies from a Word doc. Now, AI answers routine questions, freeing agents for complex conversations.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Event surges flooded agents with the same ticket questions. Now, AI instantly resolves common queries, freeing the team for complex issues.
Agents handled 200 tickets a day, copying replies from a Word doc. Now, AI answers routine questions, freeing agents for complex conversations.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Ad-hoc queries required custom dashboards. Now, specialized agents answer natural language questions with 99.9% accuracy.
Testing physical prototypes delayed evaluations by weeks. Now, researchers use AI consumer personas to simulate product trials in hours.
Basic troubleshooting consumed agents' time. Now, an AI fluent in local dialects independently resolves 73% of these cases.
Manually evaluating high call volumes was slow and inaccurate. Now, AI extracts sentiment so sales teams can refine their outreach.