About Us
Utilizing AI technologies such as Deep Learning and Natural Language Processing, we help enterprises design intelligent conversational customer service systems to respond to customer needs efficiently around the clock.
Through the statistical analysis of past transaction data and customer behavior, we provide enterprises with scientific marketing planning and targeted campaign strategies.
Customized software products, such as order management, warehousing management, report analysis, etc., are tailored according to the unique business processes of the enterprise to facilitate business digitization.
We provide active defense systems such as multi-layer firewalls and intrusion detection, as well as regular vulnerability scanning and security assessment to help enterprises improve their information security level.
Using deep learning and natural language processing technologies, we have developed the Intelligent Assistant System. It has learned billions of pieces of knowledge to understand different user needs and provide personalized solutions. Users can interact with the intelligent assistant through voice or text to check product information, place orders or inquire about after-sales service at any time, experiencing a caring, round-the-clock service.
Through proprietary software and IoT sensors, we have realized online connectivity between end retailers and suppliers. The system continuously learns customer complaint data and behavioral patterns, uses artificial intelligence to predict future sales and proactively places replenishment orders. At the same time, it can be used to monitor and manage multiple inventory locations, ensuring that the shelves break through to optimal stock levels.
We have rich big data analysis capability to continuously optimize each user’s interest and preference profile. Through a diversified online and offline marketing campaign delivery system, the platform can accurately place personalized promotional messages to enhance user stickiness and conversion rate.
We combine a number of advanced sensors to monitor equipment operating parameters and use deep learning to discover patterns hidden behind big data. When the system detects any abnormal signals, it will proactively send out notifications, so that maintenance personnel can prevent potential problems in advance, and achieve the purpose of mastering the life of the device and improving equipment utilization.