On April 17, at the successfully held "4th National Conference on Smart Logistics and Supply Chain Development for the Alcohol Industry" in Guiyang, Anhui Yufeng Intelligent Technology Co., Ltd. (hereinafter referred to as "Yufeng Intelligent") was awarded the "Outstanding Case in Alcohol Supply Chain" for its independently developed Smart Grain Moistening System for intelligent warehousing. As a leading domestic logistics system integrator and intelligent equipment manufacturer, Yufeng Intelligent has leveraged its core smart warehousing technologies to serve top-tier liquor enterprises such as Jinpai Group, Wuliangye, and Yingjia Gongjiu. Through its comprehensive intelligent warehousing and logistics solutions, the company has helped drive digital and eco-friendly upgrades in key processes of the traditional liquor industry, including raw material moistening, finished product storage, and distribution logistics. This award marks another industry-wide recognition of Yufeng Intelligent's innovation and achievements in the alcohol supply chain sector. Intelligent Upgrade Demand in the Beverage Industry i. Labor Costs: The beverage industry is labor-intensive, requiring substantial human support across its entire production process. The sharp increase in labor costs creates an urgent need to improve production methods and reduce costs. Additionally, as production capacity expands to meet growing demand, the industry is in a rapid development phase. The surge in mid-to-high-end consumption is driving a significant capacity expansion, placing high demands on production efficiency. ii. Low Equipment Automation: Many beverage companies still rely on manual operations and human judgment, lacking intelligence and automation. This further hinders the improvement of production efficiency. iii. Traditional Warehousing: Traditional manual warehousing management makes information tracking difficult and causes issues such as information discrepancies. iv. Information Silos: The beverage manufacturing process spans several areas, including raw material procurement, production management, quality control, and warehousing logistics. However, information systems for these different stages are relatively independent, making it difficult to share and integrate data. This reduces production efficiency and decision-making accuracy. Application Case in the Beverage Industry Application case of a health wine company's inventory and grain system Intelligent manufacturing is accelerating the transformation of traditional brewing methods, leading the industry from "manual brewing" to the "4.0 intelligent brewing" era, transforming chaotic workshops into standardized "smart factories." As the first key step in the brewing process, grain conditioning, a core procedure, tests both experience and heavily relies on labor. In traditional processes, after conditioning, brewers usually pile the sorghum nearby for resting to fully expand the starch and promote gelatinization, whic...

To agilely respond to the complex and ever-changing market environment and comprehensively enhance product innovation efficiency. On April 6th, Anhui Yufeng Intelligent Technology Co., Ltd. (hereinafter referred to as "Yufeng Intelligent") invited senior IPD expert to conduct a training session on "Product Management and R&D Management IPD System in Practice." This training focused on end-to-end product lifecycle management, cross-departmental organizational collaboration, and the implementation of structured processes, aiming to help the company address core pain point in product development and enhance market competitiveness. The company’s management team participated in the training throughout. This training session invites senior practical expert in the fields of IPD transformation, product planning, and R&D management as instructors. The focus is on addressing key pain points in corporate product management and deeply analyzing common challenges such as "unclear product definitions," "fragmented demand transmission," and "barriers to cross-domain collaboration." The course centers around the IPD system, deconstructing the four core processes: market management, product development, technical development, and product promotion. It combines the matrix collaboration model of four key teams—IPMT (Integrated Portfolio Management Team), PMT (Portfolio Management Team), PDT (Product Development Team), and LMT (Lifecycle Management Team)—to systematically explain how the end-to-end management system supports the dynamic coordination of technology and market. The course offers a methodological guide for building an efficient, collaborative product innovation system for enterprises. At the organizational and process collaboration level, expert emphasized that a "highly matrixed organization" is key to supporting the full lifecycle management of products. By comparing the structural differences between functional, project-based, and matrix organizations, it was made clear that cross-departmental teams must be involved throughout the entire product development process. This begins with using the "Five-Step Method" during the market insight phase to precisely target high-value goals, followed by closed-loop control in the demand management phase through MRD (Market Requirement Document) and PRD (Product Requirement Document) frameworks. In the development phase, the "parallel development model" is used to break down departmental silos and enhance efficiency. Finally, before market exit, the Lifecycle Management Team (LMT) dynamically monitors market performance and formulates a scientific exit strategy.Through a practical case on the "CTO's Dilemma," participants explored how optimizing the allocation of responsibilities and strengthening cross-functional team collaboration can solve issues of process disconnection and resource misallocation caused by changes in product requirements. This ensures precise alignment between technological developmen...

Recently, with the approval of the Anhui Provincial Department of Human Resources and Social Security, Anhui Yufeng Intelligent Technology Co., Ltd. (hereinafter referred to as "Yufeng Intelligent") has officially been granted the establishment of a provincial-level postdoctoral research workstation. This approval not only highly recognizes Yufeng Intelligent's long-standing efforts in technological innovation and talent cultivation but also serves as a significant support for its future deepening of industry-university-research(IUR) collaborative innovation and accelerating the transformation of scientific and technological achievements. It lays a more solid scientific research foundation for the company's high-quality development. As one of the few companies in the industry with the capability for independent R&D, design, and delivery across the entire industrial chain, Yufeng Intelligent has evolved from focusing on the development and manufacturing of single machines to becoming a comprehensive solution provider for logistics systems. The company offers customized consulting, system integration, software development, intelligent equipment production, and after-sales support services to a wide range of clients. Company focuses on the innovative direction of "narrow aisles, high density, and intensive" solutions, launching a series of core products and integrated solutions for storage and picking, including stacker mobile robots, three-way forklift mobile robots, four-way shuttle vehicles, stackers, WCS, WMS, digital twins, and TMS. The company has served nearly a thousand clients, built over a thousand application cases, and its core products have been sold to overseas markets. It has mature industry solutions and application cases in sectors such as power, new energy, automotive, pharmaceuticals, and precision manufacturing. Yufeng Intelligent has always adhered to a development strategy that deeply integrates IUR. The company has established in-depth cooperative relationships with well-known domestic and international research institutes, and has successively earned several prestigious recognitions, including the "National Specialized and Innovative ‘Little Giant’ Enterprise," the "State-owned Assets Supervision and Administration Commission's 'Science and Technology Reform Demonstration Enterprise' " and the Anhui Provincial Enterprise Technology Center. In 2024, the company accelerated its innovation pace by partnering with institutions such as the University of Science and Technology of China to tackle key technologies such as "4-way shuttle vehicle scheduling optimization research" and "AGV intelligent handling robot control strategy development." The company deeply integrates artificial intelligence and big data technologies to drive the intelligent upgrading of manufacturing logistics, warehousing logistics, and industrial mobile robots. Through its self-developed visual guidance autonomous navigation system, has successfully built...