Automotive Full-Chain Clue Intelligent Agent
Built on a lead intelligence architecture powered by big data and deep learning, the solution combines business scenario knowledge graphs, advanced AI algorithms, and efficient data processing to drive the digital transformation and intelligent upgrade of automotive enterprises.
The agent possesses over 700 million user data, spanning more than 10 consumption fields, and integrates over 4,000 highly customized models. It is capable of accurately conducting data analysis and prediction. It supports over 20 decision-making application scenarios including market trend analysis and personalized recommendations, and simultaneously integrates over 15,000 dealer inventory index data, ensuring the timeliness and accuracy of the data.
Smart Lead Acquisition Engine S1
By transforming the traditional media advertising placement process of waiting for the right moment into a proactive sales process, it helps enterprises bring high-value lead traffic.
Positioning

Segments potential target users, filters out low-value customers, provides marketing mix suggestions and platform services. Through data feedback and analysis, optimizes the model cycle to ensure the continuous improvement of marketing effectiveness.

Advantages

Smart lead acquisition generates incremental leads; Intent customer insights; Precise customer model calculation; Purchase-intent models connecting customers; Helping enterprises capture high-value lead traffic.

Three stages of the cooperation model
  • Target Model Validation (POC-1)
    Builds big data models for the target customer group; Model calculations match historical leads with real business data from the customer side to store transactions; Validating lead quality and conversion efficiency.
  • Valid Lead Verification (POC-2)
    Generates leads using future data from the P1 model and the DCC service team; Valid Lead transmission and delivery to the customer side for follow-up and conversion. POC outcome report and subsequent scale estimation.
  • Valid Lead Service Model (Official)
    Build a dedicated model and service team; Lead transmission, follow-up conversion, operation matching and model optimization; Stage review and execution optimization, effect improvement.
In-Store Lead Intelligence Engine S2
Expands potential customer sources, optimizes lead allocation, and increases in-store conversion rates to enhance sales efficiency. At the same time, it continuously refines analytical models using lead data to further boost conversion rates and amplify marketing impact.
Positioning

Based on the weak links in the sales conversion funnel, it provides customers with intelligent applications integrating data, models and operations to enhance sales performance. It also promotes the refined management and operation of the entire lead management chain.

Advantages
  • Embedded Process
    The lead management platform conforms to the actual process of lead follow-up business, is easy to use, and can be operated simultaneously on both PC and mobile terminals.
  • Professional Operation
    Lead conversion involves the business operation of dealership stores and has strong practicality. It supports in-store coaching to ensure that every business personnel is proficient in using the model.
  • Real-Time
    Lead intention score and other script tags are output within 3 seconds, fo timely follow-up, with real-time integration of third-party interface data.
  • High Model Accuracy
    Advanced intent-prediction algorithms significantly improve lead KPIs, increasing appointment-to-store conversion rates by over 30%.
AI Smart Voice Badge system
Provides real-time and accurate data and analysis to management at all levels—group executives, store managers, and sales teams—enabling data-driven organizational decisions and driving transformative business growth.
Advantages
  • Efficient Process Management
    Digitizes the sales process, making each link more transparent and controllable, thereby improving overall work efficiency.
  • Intelligent Analysis
    Analyzes sales conversations through the AI technology network to help enterprises better understand customer and improve conversion rates.
  • Customer Insights & Satisfaction Improvement
    By analyzing customer interaction records, enterprises can obtain valuable customer feedback to improve products and services and enhance customer satisfaction.
  • Cost Savings
    Reduces labor costs and further lowers operating costs through process optimization.
  • Personalized Training
    Analyzing the appearance of employees and providing personalized training plans, help enhance the professional capabilities of the entire team.