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Mininglamp Conversational Intelligence

Conversational Intelligence is a sales enablement product designed to improve the decision-making quality of store sales managers, ultimately boosting frontline sales performance.

Why Mininglamp Conversational Intelligence?

Integrates Online and Offline Conversation Data

Integrates offline sales conversation data (Lingting Badge) and online sales conversation data (WeChat Enterprise Chat Analysis, Call Centers, Tencent Meeting).

Robust Technology Foundation

Mature voice and semantic recognition technologies, with our knowledge graph technology for building industry-specific NLP models endorsed by prestigious national and international awards.

Extensive Industry Knowledge

18 years of knowledge bases, tag libraries, and metric libraries from top enterprises, including Fortune 500 companies, ensure more accurate and efficient semantic recognition.

Customer Success Services Tailored for Sales

In addition to offering standard products, Conversational Intelligence provides a customer success team to help businesses identify key events and metrics in conversations.

Highlights

Conversation Data as an Asset: Supports a variety of conversation sources including WeChat Enterprise, Call Centers, Tencent Meeting, and offline badge recordings, capturing and consolidating conversation data assets from all angles.

Multi-Dimensional Analysis Marking Key Signals: Intelligently analyzes structured conversation data to identify important signals such as topics and risks, enabling more efficient retrieval of target data.

Enriched Customer Profiles: Analyzes conversation data to extract customer characteristic tags, enriching customer profiles.

Transaction Follow-Up Empowerment: Sales managers can use conversation data from the sales process to help team members develop communication strategies, increasing the chances of closing deals.

Clear Sales Process Reconstruction: Reconstructs the real sales process, providing data-based insights for identifying issues and discovering best practices.

Identifying and Warning of Non-Compliant Transactions: Intelligently identifies non-compliant transaction language and behaviors, promptly alerting relevant personnel.

Standardized Conversation Management: A conversation quality management model combined with flexible, configurable auxiliary tools connects multi-channel conversation data, effectively enhancing the efficiency of conversation management personnel.

Market Feedback Analysis: Uncover customer needs and pain points, identify competitors, understand customer feedback, and guide the timely formulation and optimization of market strategies to enhance competitiveness.

Sales Process Analysis: Enable managers to see the effectiveness of sales standard actions, providing data support for operational optimization.

Digital Empowerment Across Multiple Scenarios

Sales Process Analysis

Analyze real communication data from each salesperson to help managers understand how frontline employees are executing standard sales actions.

Marketing Campaign Analysis

Help managers understand how employees are promoting marketing campaigns and identify customer focus areas and feedback.

Employee Conversation Behavior Analysis

Managers can use dashboards to compare and analyze the conversation behavior metrics of two salespeople, leveraging their business experience to identify key performance indicators that impact results.

Customer Needs Analysis

Assist managers in analyzing the brand and product information that customers focus on during their purchase decisions, as well as their feedback.