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
More Case Studies
See All
How Asana (Morningstar) Reduced Workflow Timelines by 2 Weeks and Improved Staff Efficiency by 95%
Finance & Banking
How Caterpillar Inc. Reduced Equipment Failures and Improved Supply Chain Efficiency with AI
Manufacturing
How Domino’s Uses Emplifi AI to Automate Real-Time Social Media Monitoring and Crisis Management
Retail & E-commerce
How Bank of America Uses AI Sales Agents and Virtual Assistant Erica to Enhance Customer Outreach and Service
Finance & Banking
How Built In Improved Win Rates and Deal Size by 10%+ Using Apollo’s Data Enrichment
Technology & SaaS
How QuantaTech Innovations Uses AI to Generate and Update Technical Documentation at Scale
Technology & SaaS