On July 27, Yonyou grandly released the industry's first enterprise service model YonGPT in Beijing, which is the latest research and development achievement of Yonyou based on digital and intelligent technology to serve enterprises and public organizations. YonGPT covers corporate finance, human resources and business, and is a multi-field integrated, multi-modal comprehensive enterprise service model.
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Multi-field fusion and multi-form comprehensive large model
Gathering Enterprise Service Digital Intelligence and New Wisdom
The application of information technology in enterprises and public organizations has entered the era of digital intelligence after experiencing the age of computerization and informationization. The application of digital and intelligent technologies in enterprises has also entered a new stage of "digital intelligence" that emphasizes both digitalization and intelligence from the previous "digitalization" stage. The enterprise application and service model has also moved from the integration of the information ERP era to the integration of the digital intelligence BIP era. Industry-industry integration (such as production-marketing collaboration), industry-finance integration (such as smart pricing), and industry-management integration (such as real-time performance) have become the trend of enterprise business innovation and management reform in the era of digital intelligence; themed, integrated, and intelligent innovations Application has become a new target for the advancement of enterprise digital intelligence.
YonGPT is a comprehensive large-scale enterprise service model based on the base layer adapting to the industry's mainstream general-purpose language large model and open source model, combined with Yonyou's 35 years of experience in serving multiple fields and multi-industry enterprises that can be reused and leading practices. . Different from the large enterprise service model in a single field, YonGPT covers finance, human resources, and multiple enterprise production and operation management fields including marketing, R&D, procurement, manufacturing, supply chain, projects, and asset operations. The enterprise service model of comprehensive intelligence in the field meets the needs of the times for enterprises to realize the integration and innovation of business and business, business and finance, and business and management based on digital intelligence technology.
Through the organic integration with other products of Yonyou Business Innovation Platform - Yonyou BIP, YonGPT also innovatively combines the enterprise's privatized data with the enterprise service model through a specific mechanism, which can not only solve the internal data security and privacy issues of the enterprise, but also make full use of The emergence of reusable professional capabilities brought about by the multi-domain and multi-industry association of large models has transformed enterprise services from process-driven to semantic-driven based on large-scale model scheduling, bringing intelligent business operations and natural human-computer interaction to enterprises , intelligent knowledge generation, and semantic application generation are multi-form and comprehensive enterprise service models.
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YonGPT makes finances smarter
Gain insight into business and optimize business
UFIDA started from financial software 35 years ago. Finance is the earliest field that UFIDA focuses on. It is also the field with the largest customer base and the most accumulated knowledge and experience. YonGPT large model has unique advantages in intelligent financial analysis and decision-making, intelligent fiscal and taxation knowledge generation, and natural human-computer interaction, driving financial intelligence from process automation to value creation automation.
YonGPT's large-scale model capabilities in the financial field are built on the basis of event accounting theory. Yonyou has developed a new generation of intelligent accounting products based on event accounting theory, providing fine, real-time, multi-dimensional data, which is a solid foundation for large-scale data applications. Enterprise performance management is a sharp tool to improve business management. Yonyou self-developed multi-dimensional database and developed a new generation of enterprise performance management products, including comprehensive budget, management accounting report, operating cost, profit analysis, etc. and accumulated a large number of management practices. It is the YonGPT large model It provides a rich model foundation and data support. Relying on YonGPT large-scale model technology, a systematic management model has been formed to provide management decision-making and value creation services for enterprises.
YonGPT will be integrated into the overall framework of business-finance integration, reshape the business-finance process, gain insight into business, optimize business, and create value on this basis. Take a typical application scenario of a customer’s large financial model as an example: it can respond to inquiries from business managers on relevant indicators at any time based on natural language conversational interaction throughout the process, such as querying the profit of a certain product during a certain period; based on the accumulation of financial data and algorithms , to automatically generate visual charts and reports; it can perform inferential driver analysis, automatically identify business problems, and quickly locate the cause. Based on market changes and historical data, it can intelligently sense the association and attribution of data in various fields of enterprise production, sales, and storage, and simulate Adjust the relevant strategies and calculate the profit data of the next business cycle with multiple factors to ensure the achievement of the company's business performance.
UFIDA YonGPT large model helps finance realize value creation. for example:
Intelligent analysis assistant: Using YonGPT's generation ability and natural language interaction ability, users only need to use natural language to ask questions, and then they can automatically generate visual charts and report texts;
Intelligent business analysis: YonGPT can integrate knowledge in different fields, provide more comprehensive information through in-depth data mining, and provide in-depth diagnostic analysis for business operations;
Smart prediction: Based on the reasoning ability of large models, YonGPT can intelligently sense the data association and attribution in various fields such as production, sales, inventory, etc. of enterprises, conduct reasoning business insight, and accurately predict future enterprise benefits;
Smart order profit analysis: take orders, varieties, customers, organizations and other dimensions as the analysis objects, and support enterprises to mine profit improvement points from orders;
Smart treasury: The treasury is based on the management of corporate cash flow and focuses more on strategic value creation and risk control;
Intelligent generation: intelligently recommend applicable tax policies (especially tax reduction and exemption) and related cases, intelligently generate tax data insights, etc.
In addition, YonGPT also assists in the implementation of unattended sharing centers, including smart business travel, smart document review, smart insights, smart inquiries, etc.
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YonGPT makes manpower smarter
Realize data identification, intelligent selection and intelligent employment
At present, enterprise human resource management is facing a series of challenges, such as difficulty in identifying, selecting and employing people. How to improve the accuracy of recruitment, systematization of management, human efficiency and job fit through digital intelligence technology is an important aspect of human resource management. Adapt to rapidly changing critical needs.
The YonGPT large model of Yonyou provides strong support for accelerating the digital intelligence of human resource management, and helps enterprises realize " data knowledge, intelligent selection, and intelligent employment ".
Identify people by data: YonGPT-based talent discovery can realize accurate intent recognition, help enterprises to achieve precise screening of search results, and accurately find candidates that better meet user needs; at the same time, YonGPT-based talent portraits can also be used to identify employees and positions The evaluation analysis and comparative analysis of portraits help enterprises to scientifically identify and analyze candidates and high-performing personnel.
Intelligent selection: YonGPT-based intelligent recruitment, oriented to enterprise business development, accurately matches the enterprise's business attributes and organizational portraits, helps enterprises quickly and accurately screen and locate talents, discovers talents from the massive resume pool, and optimizes the application experience through AI interaction , to achieve the accuracy and intelligence of the selection.
Smart Employment: Based on YonGPT’s probation period evaluation, it can automatically generate a probation period evaluation for the employee and submit it for review based on the employee’s work performance, goal achievement, daily collaboration, special work and other behavioral data; Based on YonGPT’s talent allocation plan, it can more accurately match the organization’s job requirements and talent capability structure, and realize more efficient and intelligent management and allocation of human resources within the organization.
YonGPT can help human resource managers realize digital talent identification, talent screening and talent allocation through in-depth data applications, help HR truly focus on core strategic work, and improve the temperature, height and breadth of human resource management.
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YonGPT makes business more agile
Realize intelligent transactions, resilient supply, and production-sales collaboration
As the industry's first enterprise service model, YonGPT also integrates knowledge and experience in business fields such as enterprise procurement, supply chain, marketing, and manufacturing to help enterprises realize digital intelligence in procurement transactions, supply chain collaboration, precision marketing, and intelligent manufacturing . change.
The YonGPT large model can help enterprises realize intelligent transactions such as supplier recommendation, price forecast, and intelligent bid evaluation in the procurement business; in the supply chain link, it can help enterprises realize demand forecasting, inventory optimization, resilient supply, and efficient execution; in the marketing link, it can help Enterprises realize sales forecasting, production-sales coordination, and precise marketing; in the intelligent manufacturing process, intelligent applications in the manufacturing industry such as intelligent production scheduling, intelligent maintenance of equipment, and scrap steel inspection help enterprises to fine-tune management and control, and operate intelligently.
Procurement transactions based on YonGPT: The intelligent recommendation engine can screen and recommend qualified suppliers for buyers based on sourcing materials and different procurement requirements, helping enterprises intelligently identify high-quality suppliers. The purchase price forecast is based on historical transaction prices, and with the help of data analysis and AI prediction algorithm capabilities of the digital intelligence platform, it can predict future price trends, thereby helping companies to better formulate procurement plans and effectively control procurement costs. The online intelligent bid evaluation tool can intelligently analyze and compare bidding documents, and provide intelligent reference opinions for the bid evaluation process, thereby reducing the risk of bid rigging, improving the fairness and transparency of bidding, reducing the cost of bid evaluation, and improving the accuracy of enterprise bid evaluation and decision-making efficiency.
Supply chain collaboration based on YonGPT: Supply network optimization can dynamically calculate the safety stock of different warehouse materials based on historical consumption and demand forecasts, and calculate and recommend target stocks and expected order quantities in a certain period of time in the future according to the set service level. Under the premise of ensuring customer service level, reduce and optimize inventory costs. The intelligent sales order generation service based on the RFQ dialogue summary realizes the online efficient collaborative application scenario of "chatting while placing an order". Through the "interactive innovative" order generation assistant, realize fast and intelligent order generation.
Precise marketing based on YonGPT: Enterprises can scroll and predict the commodity sales trend of the enterprise for a period of time in the future, so as to drive and link production and procurement plans, assist all levels of the organization to make appropriate decisions, and realize production and sales coordination . Intelligent identification of channel visits can collect a large amount of data and photos during the salesperson's visits to channels and customers, and intelligently identify and analyze information through AI to reduce collection and inspection costs, improve business efficiency, and support marketing activities, marketing expenses, and advertising precise marketing management.
Intelligent manufacturing based on YonGPT: Intelligent production scheduling adopts operations research algorithms to perform multi-objective optimization scheduling for factory processes and machine-level production operations, shorten production time, and improve on-time order fulfillment rates. Intelligent repair and maintenance of equipment realizes rapid fault reporting by voice on the mobile terminal, intelligently generates repair work orders, intelligently recommends maintenance solutions in combination with equipment documents and maintenance knowledge bases (including fault knowledge graphs), and summarizes the maintenance solutions to maintenance knowledge after the maintenance is completed library to help enterprises complete the accumulation of knowledge and experience in equipment maintenance. Scrap steel intelligent detection uses image recognition technology to complete the quality inspection of scrap steel in iron and steel enterprises, automatically recognizes and determines the grade of scrap steel, and solves the problems of harsh environment, high work intensity, emotional quality inspection, adulteration and cheating, and difficulty in tracking the scrap steel quality inspection process. The accuracy rate of this intelligent detection is over 95%, and it has been applied in more than 20 iron and steel enterprises at home and abroad.
YonGPT is the industry's first large enterprise service model with multi-domain integration and multi-form comprehensive features. Yonyou will continue to invest resources in iterative training and continue to enrich various enterprise services based on this large model.