How Motel Rocks Increased Self-Service 3X and Boosted Customer Satisfaction by 9.44% with Zendesk Advanced AI

By: GoBeyond Team

August 10, 2026

3 min read

AI case study for Motel Rocks – 43% ticket deflection and 50% volume reduction with Zendesk AI

Quick Overview

Motel Rocks implemented Zendesk Advanced AI to automate customer inquiry management while maintaining brand voice, using AI chatbots for self-service and intelligent triage. This led to faster ticket handling, reduced ticket volume, and enhanced customer satisfaction.

Motel Rocks

Company Size

7 agents

Revenue Range

Not publicly disclosed

Primary Challenge

Managing growing customer inquiries efficiently during hypergrowth while maintaining personalized service

Key Metrics

- 43% of tickets deflected by AI agents
- 50% reduction in ticket volume
- 9.44% increase in customer satisfaction (CSAT)

The Problem

Manual customer service was overwhelmed by growing ticket volume, limiting response speed and agent focus on complex queries.

The Solution

Deployed Zendesk Suite Pro with Advanced AI powered by Amazon Bedrock, enabling AI chatbots for self-service, live chat, and intelligent triage analyzing customer sentiment and intent in real time.

Results

- Tripled self-service usage
- Halved ticket volume through deflection
- Faster ticket handling and prioritization
- Agents empowered with real-time sentiment and intent insights
- Improved overall customer experience and agent efficiency

“The ability to identify the customer's intent is probably one of the best things we’ve seen.”“Self-service is so important for keeping the workload down and improving the shopping experience.”

Lucy Hussey, Customer Service Manager

Details

Industry

Retail & E-commerce

Departments

Customer Support & Service

Use Cases

Customer Ticket Management

Live Chat Support

Customer Feedback Analysis

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