In the childhood memories of many old Hangzhou people, my mother used Zhang Xiaoquan knives and scissors to cut clothes, cook ingredients, and trim various items.
Recently, Real Intelligence and "the first share of knives and scissors" Zhang Xiaoquan (stock code: 301055. SZ) officially reached a cooperation, and the real agent digital employee helped Zhang Xiaoquan build an automated and efficient team in the era of human-machine collaboration, so as to improve the efficiency of the enterprise organization.
Zhang Xiaoquan signed a contract with real intelligence and used real agent to build an automated and efficient team
Zhang Xiaoquan brand was founded in the first year of Chongzhen in the Ming Dynasty (1628 AD), has a history of nearly 400 years, is the first batch of national brands rated as China's time-honored brand by the Ministry of Commerce. Zhang Xiaoquan has always adhered to the ancestral motto of "good steel and fine work", and has brought thousands of high-quality products such as knife and scissors supplies, kitchen hardware and furniture hardware to consumers at home and abroad, which have been loved and favored by the majority of consumers.
In recent years, Zhang Xiaoquan's digital and intelligent transformation has been frequent, establishing an intelligent knife and scissors manufacturing center in Yangjiang Jiangcheng Yinling Science and Technology Industrial Park, introducing advanced production lines and information equipment in the industry to realize refined management under the monitoring of the Internet of Things, and setting up a doctoral workstation in Guangdong Province to promote the company's comprehensive transformation and upgrading in automation, informatization and intelligence.
In 2024, Zhang Xiaoquan has a new move to join the "circle of friends" of real intelligence and digital intelligence.
Zhang Xiaoquan signed a contract with real intelligence and used real agent to build an automated and efficient team
Zhang Xiaoquan: Reshape the human-machine relationship and create intelligent finance
Finance is the data center of enterprises, and financial data is one of the key strategic assets in the digital economy, which is essential for enterprise operations and strategic development. Through in-depth analysis of financial data, finding out the internal connection behind the data can provide solid support for enterprise decision-making and bring core competitive advantages to the sustainable development of enterprises.
Before RPA digital employees were widely used in finance, Zhang Xiaoquan mainly relied on manual financial work, but with the expansion of business, this practice gradually became difficult to meet the growing needs of enterprise financial management.
Pain points of traditional finance work:
- Large amount of duplication of operations: The finance department contains a large number of repetitive task processes, such as transaction reconciliation and expense document review, which generates more labor costs and low value-added work.
- Busy business peaks: When accounting at the end of the month and the end of the year, finance personnel often have a "996 work system", while also dealing with slow business response and perceived error risks.
- A large number of heterogeneous systems: Most enterprises have multiple information systems within the enterprise, but these systems lack integration, resulting in information silos and forcing financial personnel to become data "porters".
Intelligent finance is a way to improve and automate financial management using advanced technologies such as artificial intelligence to help businesses increase efficiency, reduce costs, and support better decision-making.
In order to improve the efficiency and effectiveness of accounting and financial management, realize and expand the accounting and financial functions and their strategic value, Zhang Xiaoquan's information department team went deep into the business line, sorted out the automatable scenarios with finance, and developed a series of financial digital employees who can assist employees to complete "large and repetitive, fixed rules, and low added value" based on the real intelligence "AI+RPA" technology.
At present, Zhang Xiaoquan has screened out more than 100 scenarios that can be automatically upgraded, including invoice processing, reconciliation management, capital management and risk management. These automation scenarios will reshape the business, finance, and tax relationships, unleash the energy of finance personnel, and promote the finance department to transform from a traditional back-office support role to a strategic partner, so as to realize the sharing of enterprise data assets and the automation and intelligent management of business.
Zhang Xiaoquan signed a contract with real intelligence and used real agent to build an automated and efficient team
In recent years, AI technology has developed rapidly, and with the support of large models, RPA has become more intelligent.
As a quasi-unicorn and hyper-automation head enterprise of AI, TARS, a vertical large model developed by Real Intelligence, ranks among the best in various domestic large model lists, with differentiated advantages such as "effect availability, cost controllability, customized training, and privatized deployment". The software on the mobile phone completes the goals and tasks of work and life, and realizes "what you say the PC does, what you say the mobile phone does, what you say is what you get".
Zhang Xiaoquan signed a contract with real intelligence and used real agent to build an automated and efficient team
With the unique advantages of leading AI technology, Real Intelligence has created a full-link hyper-automation solution for customers in various industries that is in-depth in business scenarios, out-of-the-box, and quickly launched, helping enterprises achieve multiple, hundred-fold, or even higher performance improvements. At present, the "digital employees" have served more than 2,000 large and medium-sized customers at home and abroad, including finance, operators, e-commerce, manufacturing, tobacco, energy, transportation and other industries, helping them build new quality productivity in the digital and intelligent era.