Agents handled 200 tickets a day, copying replies from a Word doc. Now, AI answers routine questions, freeing agents for complex conversations.
A rapidly growing online fast fashion retailer targeting 18-to-25-year-olds that entered a period of hypergrowth, generating overwhelming support volume during peak shopping seasons.
A small customer service team answering up to 200 tickets daily per agent struggled to keep pace, resulting in massive overtime during peak periods....
“Before Zendesk there were just two of us handling customer service – it’s crazy to look back at us managing all of that with only an Outlook inbox.”
E-commerce brand for vintage-inspired and printed women's fashion.
AI-powered customer service and employee experience software platform.
Motel Rocks's Customer support is part of this use case:
Related implementations across industries and use cases
Refund and tracking requests overwhelmed agents. AI now automates routines, while live guidance helps staff resolve complex issues.
Demand spikes swamped agents with repetitive tickets. Now an AI agent fields the basics, freeing humans for complex, revenue-driving chats.
Global expansion stretched support agents thin. Now, an AI agent resolves nearly half of all tickets, freeing the team for complex cases.
Refund and tracking requests overwhelmed agents. AI now automates routines, while live guidance helps staff resolve complex issues.
Demand spikes swamped agents with repetitive tickets. Now an AI agent fields the basics, freeing humans for complex, revenue-driving chats.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.
Agents handled 200 tickets a day, copying replies from a Word doc. Now, AI answers routine questions, freeing agents for complex conversations.
A rapidly growing online fast fashion retailer targeting 18-to-25-year-olds that entered a period of hypergrowth, generating overwhelming support volume during peak shopping seasons.
A small customer service team answering up to 200 tickets daily per agent struggled to keep pace, resulting in massive overtime during peak periods....
“Before Zendesk there were just two of us handling customer service – it’s crazy to look back at us managing all of that with only an Outlook inbox.”
E-commerce brand for vintage-inspired and printed women's fashion.
AI-powered customer service and employee experience software platform.
Motel Rocks's Customer support is part of this use case:
Related implementations across industries and use cases
Refund and tracking requests overwhelmed agents. AI now automates routines, while live guidance helps staff resolve complex issues.
Demand spikes swamped agents with repetitive tickets. Now an AI agent fields the basics, freeing humans for complex, revenue-driving chats.
Global expansion stretched support agents thin. Now, an AI agent resolves nearly half of all tickets, freeing the team for complex cases.
Refund and tracking requests overwhelmed agents. AI now automates routines, while live guidance helps staff resolve complex issues.
Demand spikes swamped agents with repetitive tickets. Now an AI agent fields the basics, freeing humans for complex, revenue-driving chats.
Employees previously broke work into rigid tasks. Now, they delegate high-level goals to agents that work autonomously for hours.
An aging homegrown CRM held back 1,700 agents. Now, an AI co-pilot helps them draft faster, higher-quality emails from a single screen.
Manual call evaluations delayed insights by weeks. Now, bots score calls at scale, empowering analysts to synthesize data in hours.
Sourcing native speakers for 14 markets was costly. Now, AI handles 40% of routine queries and translates live for a central English team.