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Intelligent Outbound Calling System

A “Faster, Better, Smarter, and More Cost-Effective” Solution to Empower the Digital Transformation of Traditional Call Centers.

Pain Points

In traditional customer service centers, agents are required to make a large volume of calls every day, leading to issues such as high work pressure, non-standard operations, and declining outbound calling efficiency. Additionally, the difficulty of training employees increases, and operating costs continue to rise. Compared to human agents, intelligent outbound calling robots can avoid many of these problems, offering significant advantages in cost reduction and efficiency improvement.


Product Overview

The GienTech Intelligent Outbound Calling System builds on traditional outbound calling systems, integrating AI technologies such as natural language processing, speech recognition, and semantic understanding. It provides machine-based outbound calling to replace human agents, performing tasks such as product promotions and customer callbacks. This system addresses the issues of high costs, low efficiency, and non-standardized scripts found in traditional outbound calling systems.

Application Scenarios
  • Bill Collection and Payment Follow-up | Based on the collection stage, administrators set up scene conversation models in advance. The robot automatically calls customers, engages in conversation, and tags and classifies them according to business labels based on customer data pushed by the business system.

  • Product Marketing | Based on marketing business needs, scene models are created and marketing outbound tasks are automatically initiated. The robot accurately judges and classifies customers' purchasing intentions according to their intent, forwarding potential customers to human agents.

  • Event Notification | Based on business requirements, outbound event notification tasks are automatically triggered. The robot interacts with customers, marking and classifying them based on their feedback, significantly reducing labor costs.

  • Survey Collection | Based on actual survey needs, conversation models are set up to enable the robot to accurately collect customer feedback and generate reports, reducing the cost of manual dialing by human agents.

Business Values

The Intelligent Outbound Calling System helps clients improve outbound calling efficiency, reduce operational costs, and avoid many risks associated with human customer service.

Improve Outbound Efficiency and Reduce Operational Costs

The outbound calling efficiency of the intelligent outbound calling robot is about 5 times that of human agents. When facing a large volume of outbound tasks, the robot can execute more efficiently. Additionally, compared to human agents, outbound robots have lower operational costs and higher stability, thus enhancing the overall business value for enterprises.

Standardize Outbound Calling Operations

The outbound calling robot engages with customers based on predefined scenario models, ensuring consistent and emotionally neutral interactions—unlike human agents who may be affected by mood swings or fatigue, leading to higher complaint risks. After the call, the robot automatically analyzes the conversation and categorizes customers into defined segments, overcoming the common issues of misrecording or omission seen in manual operations.

Key Features

The Intelligent Outbound Calling System utilizes AI technologies (ASR, TTS, NLP) and voice communication softswitch technologies to implement batch automated calls, multi-round natural language interactions, and automatic customer tagging and filtering based on human-machine interaction details. It is an intelligent outbound calling solution that uses high concurrency and reliability designs, supporting dynamic expansion based on business scenario changes.

Case StudiesView More
Multimedia Customer Service System for a City Commercial Bank

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