Benyuan Zhengyang Gene Technology Co., Ltd. is a biotechnology company engaged in the research and production of gene vectors. China Resources Pharmaceutical Group, a subsidiary of China Resources Group, a Fortune 500 company, specializes in the research and development of virus gene vectors, gene therapy, as well as biological products such as antibodies and vaccines. Awarded the 863 virus gene vector research and development base by the National Science and Technology Commission, named as a postdoctoral workstation by the Ministry of Human Resources and Social Security, currently a high-tech enterprise and a patent demonstration unit in Beijing, with multiple new drug invention patents.
Our company combines sensing and AI to collect high-frequency energy data related to electricity, water, natural gas, and other energy sources in the laboratory and office areas. Through communication methods such as RS-485, 4G, LoRa, and Ethernet, the energy data is transmitted back in real-time to the smart energy consumption platform. The energy consumption platform has been integrated with multiple internal platforms such as management systems, production systems, and business systems, achieving real-time data flow and sharing.
AI+Enterprise Energy Management Platform
In enterprise energy management, AI digital management uses IoT sensors to collect real-time data on water, electricity, gas, etc., and constructs a digital twin model of energy consumption to accurately identify abnormal energy consumption patterns and inefficient equipment operation states. By relying on machine learning algorithms, AI dynamically optimizes equipment operation strategies (such as central air conditioning, air compressors, etc.), combined with peak and valley electricity prices, weather conditions, and intelligent scheduling of energy production plans, achieving a 15% -30% reduction in energy consumption costs. At the same time, AI automatically calculates carbon footprints, plans emission reduction paths, and helps companies meet ESG compliance requirements, promoting“ Source Network Load Storage; Collaborative optimization to enhance the utilization efficiency of renewable energy. From real-time monitoring and early warning to closed-loop strategy execution, AI technology is driving energy management from experience driven to data-driven intelligence, significantly improving energy efficiency and sustainable development capabilities.
AI+intelligent decision support
In enterprise operation decision-making, AI technology improves decision-making efficiency through data intelligence: integrating multi-source data (structured and unstructured), and using NLP to mine deep insights; Build an AI prediction model based on historical and real-time data to provide early warning of potential issues such as revenue fluctuations and supply chain risks; Simulate different decision paths through algorithms, optimize pricing, production scheduling and other strategies, and combine RPA to achieve process automation; Real time quantification of market, compliance and other risks and dynamic control; Relying on AI technology to deduce cross departmental decision-making linkage effects and optimize resource allocation. AI drives decision-making from; Experience driven; Turn“ Data Intelligence Driven” Enhance the precision, foresight, and risk resistance of decision-making.
AI+Enterprise Human Intelligence Management
In enterprise human resources management, AI technology improves overall efficiency through data intelligence: the recruitment process utilizes NLP to accurately match resumes and positions, combined with ability assessment to reduce screening bias and increase efficiency by 70%; During the training phase, personalized learning paths are generated based on skill data to shorten employee growth cycles by 30%; Performance management relies on the collection of work data to achieve objective evaluation and drive organizational efficiency improvement; By monitoring emotions to warn of the risk of resignation, the efficiency of intelligent customer service in handling administrative consultations has been improved by 60%; RPA automation processes repetitive tasks such as contract entry, freeing up 40% of HR's administrative time to focus on strategic tasks and driving human resource management from experience judgment to data-driven
AI+Financial Management and Risk Prevention
In enterprise financial management, AI technology optimizes core processes through data-driven optimization: RPA and intelligent OCR automatically process repetitive tasks such as invoice review and reimbursement, increasing efficiency by 70% -80% and reducing error rates to below 0.5%; Machine learning accurately predicts cash flow and revenue trends, and generative AI automatically generates financial reports, saving 60% of manual time; Real time monitoring of abnormal transactions and compliance risks to ensure a 100% compliance rate for invoices; Simulate business scenarios to optimize fund allocation and increase investment return by 15%. AI drives finance from; Post accounting; Turn“ Real time intelligence” Significantly reduce costs and increase efficiency, and strengthen risk management.
Our company has built a digital intelligent platform for our Yuan Zhengyang enterprise, which serves as the basic support platform for multi format operation and management in the later stage; Create exclusive intelligent products for external use, promote external business, and empower; AI+” Strategic implementation, providing equipment operation and maintenance, video security management platform based on X-Link smart IoT platform for Benyuan Zhengyang, providing integrated intelligent empowerment for Benyuan Zhengyang, meeting the company's unified management, and successfully promoting the landing and application of the Science and Technology Innovation Center project.
