Quick Overview
Camping World implemented AI in call centers to handle increased call volume and after-hours calls, improving lead capture and customer query resolution.
Camping World
Company Size
~10,000 employees (estimated)
Revenue Range
Not publicly disclosed
Primary Challenge
Managing high call volumes and missed after-hours calls impacting customer service and sales
Key Metrics
\- Improved lead capture\- Enhanced customer query resolution
The Problem
Call centers struggled with high volume and after-hours calls, leading to missed opportunities and customer dissatisfaction.
The Solution
Deployed AI-powered call routing and automated response systems to manage call traffic efficiently and extend service hours.
Results
\- Increased lead capture rates\- Improved resolution of customer queries\- Enhanced customer satisfaction and operational efficiency
Details
Industry
Retail & E-commerce
Departments
Customer Support & Service
Use Cases
Customer Ticket Management
Client Communication
Tags
LLM
Machine Learning
Computer Vision
Predictive Modeling
Scalability
Cost Reduction
Team Efficiency
SaaS
Enterprise-Ready
AI Tools Used
No items found.
Sources
https://www.ibm.com/case-studies/camping-world?utm_source=vktr.com
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