Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Identify the optimal quantity of agents necessary to achieve your target service levels. Break down the requirements by hour, half hour, or quarter hour to determine the appropriate number of agents and phone lines needed to effectively manage the fluctuations in call volume throughout each day of the week. You can visualize, print, or export this information to Excel. Input your call center’s data, including call volumes, operational costs, number of incoming calls, arrival intervals, average conversation duration, after-call processing time, maximum waiting time for callers, and your desired service benchmarks. Subsequently, you will be able to access the performance metrics of Call Center Designer or generate hard copies of them. Additionally, all data entries and the derived statistics can be saved for future reference and easily retrieved. With just a few clicks, all computations and visualizations can be transferred to Excel or Word, facilitating seamless reporting. To enhance staffing and trunking calculations, Call Center Designer employs tailored versions of the Erlang C and Erlang B probability algorithms. This sophisticated tool not only streamlines operations but also aids in strategic planning for better resource management.
Description
cc-Modeler Professional Software offers robust tools designed to enhance the efficiency and scheduling of call centers, regardless of their size. This software streamlines staffing processes, allowing you to boost service quality, pinpoint staffing deficiencies, and ultimately create a more positive experience for your customers. It is ideal for any entity that manages incoming calls, including call centers, help desks, and support teams. The platform helps you accurately determine your staffing requirements for various times throughout the day, accommodating multiple shifts and scheduled breaks to optimize agent schedules and coverage effectively. Additionally, it provides comprehensive performance analytics aligned with your service level objectives, helping to minimize agent overload and improve overall call center productivity. By reducing average speed of answer (ASA) and enhancing consistency in service delivery, you can significantly lower the rate of abandoned calls, thereby elevating customer satisfaction levels. By utilizing cc-Modeler, organizations can not only streamline their operations but also foster a more responsive and customer-centric environment.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
$179.95 one-time payment
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Portage Communications
Website
portagecommunications.com
Vendor Details
Company Name
KoolToolz.com
Website
kooltoolz.com
Product Features
Call Center
Blended Call Center
Call Logging
Call Recording
Call Scripting
Campaign Management
Database
Escalation Management
IVR / Voice Recognition
Inbound Call Center
Manual Dialer
Outbound Call Center
Predictive Dialer
Progressive Dialer
Queue Management
Real-time Chat
Reporting/Analytics
Workforce Optimization (WFO)
Interaction Analytics
Liability Recording
Performance Management
Quality Management
Real-time Guidance
Reporting
Speech Analytics
Surveying
Workforce Management
eLearning
Product Features
Workforce Management
Budgeting & Forecasting
Contractor Management
Employee Lifecycle Management
Labor Projection
Performance Appraisal
Recruiting Management
Scheduling
Skills Tracking
Time & Attendance
Variable Workforce