From January 6th to 10th, at the International Consumer Electronics Show (CES) 2025, Gausscode showcased a series of digital intelligence products and solutions for the automotive industry, powered by Generative Artificial Intelligence (GenAI).
The highlights of this exhibition included CADI (Consumer Automotive Dialogue Intelligence), the GenAI Badge System (CALO S3), and the Leads Scoring Engine (CALO S2) — a suite of data-driven intelligent products designed to transform marketing, sales, and service in the automotive industry.
These innovations demonstrated the company’s extensive expertise in AI technology and underscored its commitment to driving digital transformation and intelligence upgrades within the automotive sector.
During a Q&A session, Gausscode’s Founder and Chairman, Dr. Jie Cheng, stated: “The dialogue will become a new data modality, the integration of Generative AI (GenAI) technology with traditional business scenarios is a key focus of our exhibition.
By utilizing data combined with large language models, we have achieved a deep understanding and prediction of customer behaviors across marketing, sales, and service processes in the automotive industry. This enables the automated generation of customized marketing content and service recommendations, providing robust support for personalized services and marketing strategies.”
Efficiency Upgrade: GenAI Accelerates Automotive Digital Intelligence
In 2024, the widespread adoption of Generative AI models across industries has brought transformative changes to the automotive sector. By deeply integrating these technologies with existing business processes, traditional operations have been reinvigorated, unlocking new levels of productivity and innovation.
This shift has driven qualitative improvements across all aspects of automotive operations, sales, and customer service.
CADI: Amplifying the Value of Automotive Data by 100%
CADI (Consumer Automotive Dialogue Intelligence) introduces a revolutionary approach to cost reduction and efficiency enhancement in the automotive industry. By building a foundational knowledge hub, integrating knowledge engines, and applying large models to real-world business scenarios.
It provides car manufacturers with efficient, intelligent, and highly personalized digital solutions that maximize the value of automotive business data.
CADI leverages a vast database of automotive industry resources to build a specialized knowledge engine tailored to the sector. This engine provides robust foundational support for deep digital intelligence in business scenarios.
By integrating massive data sets such as business metrics, promotional policies, vehicle databases, and dealership inventory data, CADI extends its application across the entire “marketing, sales, and service” (MSS) value chain. It empowers automakers with comprehensive solutions to optimize pre-sales, in-sales, and after-sales processes.
In real-world applications, CADI has demonstrated exceptional performance.
It can efficiently analyze large volumes of vehicle documentation (with a 500% increase in parsing efficiency), deliver accurate and detailed responses (with a 90% accuracy rate), and intelligently diagnose faults. This reduces the time required for vehicle reception, pre-inspections, and generating maintenance reports by 50%.
More importantly, CADI acts as a 24/7 automotive expert, providing users with reliable and personalized services anytime, anywhere. By significantly cutting labor costs, it enhances customer satisfaction and operational efficiency.
GenAI Badge System (CALO S3): Upgrading sales efficiency from local to overall levels.
“The GenAI Badge System (CALO S3), driven by generative AI models and data, empowers management to adopt scientific strategies and achieve PDCA (Plan-Do-Check-Act) closed-loop management. This system enhances operational efficiency, boosts profitability, and achieves the goals of ‘understanding customers, increasing efficiency, and driving conversions,’” stated the CALO product manager at Gausscode.
The system integrates platform, data, operations, and hardware into a cohesive framework. It provides structured, data-driven support to sales representatives, dealerships, and automakers, improving sales conversion rates, management operations, and high-quality decision-making.
For sales representatives, the system offers precise customer profiling and intelligent script recommendations, helping them refine their sales techniques and optimize strategies based on historical data analysis.
For dealership managers, it enables clear tracking of sales processes, quantifies management outcomes, and facilitates more effective evaluations of employee performance to create tailored management strategies.
For automakers, the system delivers real-time, comprehensive customer insights, supporting precise decision-making across pre-sales, after-sales, and marketing functions to drive data-driven business growth.
By 2024, CALO S3 has been widely adopted and recognized by over1,000dealerships worldwide.
Leads Scoring Engine (CALO S2): Boosting In-Store Conversion Rates by 30%
The Leads Scoring Engine (CALO S2) integrates data across three key dimensions — people, vehicles, and dealerships. Centered on consumer big data, it covers six core modules, including DCC (Dealer Call Center) workflows, first-call invitations, leads follow-ups, leads grading, defeated leads management and recovery, and sales trend forecasting.
This innovative solution is designed to enhance sales efficiency and customer satisfaction in the automotive industry.
In practical applications, the engine has demonstrated remarkable results.
Using advanced data analytics and intelligent algorithms, the platform has helped dealerships increase invitation-to-visit conversion rates by 10% to 30%, and leads conversion rates by 13.5% to 15%.
Additionally, it reduces the need for 1-2 full-time staff per dealership on average, allowing dealerships to reallocate resources toward personalized customer service and relationship building, thereby enhancing their competitive edge in the market.
The groundbreaking solutions — including the Intelligent Leads Scoring Engine (CALO S2), GenAI Badge System (CALO S3), and CADI — seamlessly integrate generative AI models, advanced computational capabilities, and innovative interaction methods.
Together, these solutions deliver highly intelligent and efficient solutions to improve sales performance and operational management.
Dr. Jie Cheng concluded: “In the past, due to technological limitations, it was difficult to systematically capture and analyze the interactions and recommendations between sales and customers, and convert them into effective tools for optimizing business processes. Now, with the advancement of large language models (LLMs), we have a more mature technological foundation. Moving forward, We will focus on the sales field to exponentially improve the effectiveness and efficiency of automotive sales.”
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Company Name: Gausscode Technology Inc.
Contact Person: Becky Xu
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Country: United States
Website: https://www.gausscode.com/
