CSAC Intelligent Customer Service Assistant
Assisting customer service personnel in rapidly analyzing issues, retrieving responses from the enterprise knowledge base (KM), and possessing autonomous knowledge base expansion capabilities, significantly reduces initial implementation costs and accelerates the tangible benefits brought by AI.
Innovative development of IOIO.ai-related technologies has optimized early-stage modeling pre-training and long-term maintenance costs, representing a breakthrough in technology.
Get to Know CSAC.
Save Over 80% Costs While Improving Service Quality!
Automate Processes with RPA Forwarding
Integrating RPA Functionality via API for Case Forwarding and Tracking.
Automated Response Generation
Precision Response Generation using RAG combined with our Knowledge Base.
IOIO.ai Learning Engine
Through the IOIO.ai engine, real-time monitoring of staff and customer interactions is facilitated, and it can independently parse various data formats such as PDFs, Word documents, XML, SQL, etc., enriching the knowledge base autonomously.
AIGC Quality Monitoring Signals
Multi-Agent AI Duplicate Verification for Content Accuracy, Effectively Preventing AI Illusions.
Adjustment of Response Tone
Controlled Generation of Content Tone and Style, Minimizing Post-Editing for Increased Efficiency.
Multilingual Capabilities
Real-time Translation and Input/Output Support for Multilingual Communication, Ensuring Seamless Cross-Border Customer Service.
Support for Multi-Platform Software Communication Features
Building a Comprehensive Customer Service System with Both Automation and Service Quality
Addressing Common Customer Service Operational Challenges in Enterprises
Service Volume and Efficiency
High call volumes during holidays or promotional periods and low activity during off-peak hours lead to resource allocation challenges.
Customer service representatives spend too much time querying databases or waiting for system responses, resulting in extended handling times for each customer and decreased efficiency.
Personnel costs
Unable to estimate customer service demand, resulting in either insufficient or idle human resources, making manpower allocation difficult.
Higher wages need to be paid during weekends and off-hours, making it difficult to control labor costs.
transfer and progress
Lack of systematic knowledge management makes it difficult for senior staff to effectively pass on experience to newcomers, affecting overall team performance.
Frequent product updates demand continuous learning from employees, but limited training resources affect service quality.
Employee Turnover
The new employees require an extended period to familiarize themselves with product features and operational procedures, delaying their actual deployment time.
While mentoring new recruits, senior employees still need to handle their daily workload, resulting in a significant increase in work pressure.
