Next-Gen REBOT Training Robot

Facilitate multi-channel teaching via platforms like apps and mini programs, delivering speech lessons interactively within real-life scenarios. Utilizing the ‘speech recognition + semantic understanding + speech synthesis’ model, a plethora of real-life cases are incorporated, supporting teaching across diverse channels including apps and mini programs. The curriculum emphasizes interactive dialogue exercises with students, enabling real-time quality checks on student responses while also creating personalized student profiles for performance analysis.

Benefits of REBOT Intelligent Training Robot

Streamlined Process Setup

Directly add dialogue skills items to the learning list, which are automatically completed by the robot as complete dialogues, generating tests or scenario exercises for students to use.

Practical Application in Real-Life Scenarios

Support both multi-branch and single-branch dialogue configurations, enabling realistic scenario simulations for human-machine training, with continued support for follow-up interactions.

Learning Map

Develop a learning map incorporating a game-like clearance mode to foster engagement and stimulate interest in learning.

Student Progress Overview

Present a comprehensive overview of students' accomplishments, learning trajectory, as well as strengths and areas for improvement.

Real-time Quality Assessment for Students

Students will conduct real-time quality inspections synchronously during voice conversations, assessing their performance.

Tailored suggestions

Utilizing the memory curve, present challenging questions to students based on their past errors.

Fun and Advantages

Interesting

Providing multimodal emotional interaction combining vision, sound, and text to achieve more flexible interaction, making learning more interesting.

Extensively Tailored

Tailoring learning experiences to your personalized needs to effectively enhance skills in a targeted manner.

Rich Content

Featuring professional theories, product knowledge, top-notch language skills, corresponding techniques, experiential lessons, and classic cases to meet the learning needs of various groups.

Immersive Experience

In various scene simulations, you can have real-time conversations with AI virtual characters, experiencing an immersive environment.

Features of REBOT Intelligent Training Robot

Business Scenario

Industry Pain Point

High Training Cost

Extensive and Expert Product Knowledge, Demanding Personnel Standards, and Substantial Training Investments

High Investment, Low Efficiency

Struggle with Supervision and Service Violations, Arduous Quality Inspection Tasks

Elevated Customer Acquisition Costs

Financial Services Homogenization Leading to Weak Customer Retention and Loss

Heightened Financial Business Risks

Complex Tasks, Heavy Responsibilities, and Inadequate Traditional Technological Solutions

Industry Pain Point

High Sales Costs

Traditional channels incur high costs, with low telemarketing connection rates and heavy reliance on agent expertise

Product Selection Confusion

Customers lack knowledge in choosing professional insurance products

Ineffective Promotion

Blind promotion leads to low product effectiveness as insurance companies fail to understand customer needs

Inconsistent Service

High personnel turnover and varying expertise levels result in inconsistent customer service experiences

Cumbersome Processes

Complex payment and compensation processes lead to poor customer experiences.

Outdated Risk Control

Outdated measures contribute to frequent fraudulent insurance practices.

Industry Pain Point

Insufficient Employee Development

Intense pressure in customer service, service quality bottleneck, and inadequate means to enhance employee skills

Costly Customer Acquisition

High costs, lack of operational capabilities, and stagnant sales funnel conversion

Inefficient Traditional Processing

Traditional data processing lacks efficiency and hampers subsequent analysis, integration, and knowledge accumulation

Limited Risk Control

Numerous risk factors, reliance on singular risk control methods, and an incomplete risk control system

Traditional Banking Challenges

Emergence of internet banking and licensed consumer finance affecting traditional banking operations

Utilizes RTI-AI’s natural language processing and analysis. It guides processes, recommends knowledge, and monitors emotions. It ensures compliance, detects violations in call recordings, and offers personalized services. It provides training and dynamically adjusts personnel skills for intelligent management

Combines call systems for intelligent IVR and outbound functions. It facilitates smooth human-machine Q&A and business processing. Featuring anthropomorphic speech synthesis for natural tone, it supports dialogue logic like interruption and question replay. It autonomously generates call reports and achieves near-human completion rates, boosting outbound call efficiency by over 2.5 times. With visual dialogue design and autonomous learning capabilities, it ensures regulatory compliance and risk prevention

Leveraging natural language understanding, knowledge graph, intelligent search, and recommendation technologies. Designed for financial marketers, it integrates product learning, language practice, and problem-solving. It includes a product knowledge encyclopedia, popular questions, and objection handling cases, enabling marketers to confidently face customers. Covering finance, insurance, securities, funds, and more, it’s a comprehensive learning and practice tool, serving as a financial encyclopedia.

By parsing structured and unstructured data, it forms an integrated knowledge platform for internal use, searchable across various business channels. Additionally, leveraging self-developed knowledge graph construction, it automatically extracts business information and constructs financial knowledge graphs, catering to business consulting, customer marketing, and financial services scenarios. Designed for banks, insurance, securities, and funds, it accelerates the digital transformation process by consolidating data and documents, forming financial data and knowledge assets

Emoti Mate, a human-machine collaborative app on Rebest platform, integrates call center IVR. Real-time voice-to-text translation enables natural language processing for customer intention understanding, knowledge recommendations, and business process guidance. It offers basic Q&A, customer portrait collection, and emotion monitoring, meeting team leader and supervisor needs with real-time violation alerts for risk prevention.

Using speech recognition, all call recordings become text for 100% quality inspection. Recordings flagged for issues undergo manual recheck. Business labels aid management and analysis. Simultaneously, customer data is captured for personalized service. Quality inspection shapes seat skills and provides teaching materials. AI analyzes recordings, simulating diverse customer interactions for seat training and growth.

RTI-AI’s core robots analyze claim data, underwrite customers intelligently, and identify high-risk customers. They extract insurance clause content to enable a price comparison system and personalized product recommendations.

The intelligent telephone robot features anthropomorphic speech synthesis for natural, beautiful sound. It supports dialogue logic and autonomously extracts key information, generating call reports without development. It boosts outbound call efficiency by over 2.5 times, adhering to regulations and mitigating risks.

The RTI-AI Intelligent Telephone Robot utilizes anthropomorphic voice synthesis for natural sound. It supports various dialogue logic, extracts key information, and generates call reports automatically. It enhances outbound call efficiency by over 2.5 times, adhering to regulations and mitigating risks.

Leveraging RTI-AI Bot Factory™, it boosts efficiency threefold, expands into new markets, and enhances user experience through intelligent recommendations and unified services. Data-driven insights drive customer activation and refine operations, focusing on core profits and differentiation

Streamlining credit management with NLP and machine learning, it automates processes, reduces approval times, and predicts risks. By integrating heterogeneous data sources, it enhances user experience and mitigates non-performing loans, cutting costs and alleviating stock pressure

Empower customers with advanced technology for seamless business integration, covering the entire marketing lifecycle. Enhance operations, personalize financial marketing, and boost efficiency for banks

A unified AI platform streamlining bank operations, replacing siloed departmental models. Utilizing a text analysis center, we automate document processing, reducing errors and enhancing efficiency. Powered by RTI-AI Intelligent Knowledge Base, we enable seamless knowledge sharing across all bank departments, enhancing digital operations

Advantages of The Plan

Comprehensive platform, encompassing all financial scenarios.

Integrated quality checks and training to optimize work efficiency.

Proactive services for heightened customer satisfaction.

Seamless processing of structured, unstructured, and semi-structured data.

Establishment of an intelligent knowledge base for unified sectoral services.

User data analysis coupled with interactive insights.

Improved marketing precision and service coherence.

Swift issue resolution to minimize customer churn.

Automatic generation of financial knowledge graphs from data.

Automated construction of financial knowledge graphs from data sources.

Advantages of The Plan

Gain holistic customer insights, boosting sales conversion rates by 60% through tailored product recommendations.

Utilize 24/7 multi-channel support to promptly address inquiries and resolve doubts.

Expedite claims procedures, reducing customer processing time by 50%.

Strengthen risk control measures to efficiently identify and prevent insurance fraud.

Improve accuracy and coherence in marketing and service delivery.

Identify and address customer withdrawal intentions, mitigating churn and enhancing satisfaction.

Advantages of The Plan

Comprehensive Platform: Encompassing all financial business scenarios.

Precision Marketing and Service Enhancement: Improving service coherence and accuracy.

Integrated Quality Control and Training: Enhancing seat work efficiency.

Swift Issue Resolution: Minimizing customer churn by promptly addressing issues.

Proactive Customer Service: Elevating satisfaction levels.

Interactive Data Analysis: Insightful analysis of user data for enhanced decision-making.

Internal Application Cases

KPI Monitoring Metrics

1. Training Costs

2. Onboarding Speed

3. Conversion Rate

4. Customer Complaints

Basic Information

Business Department

Target User

Provide training for the current 200 and subsequent newly recruited telemarketing agents.

Project Overview

Format

Embedding H5 into the internal learning platform.

Core scenarios

Proactive outbound calling, recommending “Business Products” to customers.

Mainly use sections

Phase One: Configure backend Q&A pairs.

Phase Two: Integrate multi-branch dialogue configuration into the backend.

Phase Three: Implement a comprehensive intelligent training system.

Target Revenue

  1. Telemarketing conversion rate: Increased by 7.8%.
  2. Human resource cost savings: 90%-90.47%.
  3. Customer complaints: Reduced by 11.3%.

The initial training scene for newly hired employees

  1. New employees receive learning materials upon joining, review them independently, and observe current employees’ training sessions. After one week, they start participating in some telemarketing tasks.
  2. When the number of new employees reaches 15-20, three teachers are invited to conduct systematic training, lasting for three days.

Utilize the intelligent training system

  1. New employees can access the system for self-learning immediately upon joining.
  2. They must complete assigned learning modules within a specified timeframe and achieve a passing score on the exam to officially start telemarketing duties.
  3. When the number of new hires reaches 15-20, three instructors will conduct systematic training sessions, lasting half a day.