JD Industrials Introduces Tailored Solutions to Drive Quality Enhancement in Baijiu Manufacturing

Stock News03-03 20:32

At a recent JD Baijiu Tasting event, representatives from JD Industrials (07618) and Rémy Martin joined guests from across the industry to discuss the future of digital and intelligent transformation. This cross-industry collaboration sparked curiosity, but as JD Industrials' representative stated at the outset, the company provides the professional instruments, tools, and supply chain solutions essential for the research, development, and production processes behind such fine spirits.

As part of its "Intelligence Empowering Industries, Trillions in Cost Reduction" initiative, JD Industrials has launched a dedicated scenario-based solution for the baijiu manufacturing sector. This solution systematically demonstrates deep industry insights, specialized applications, and practical case studies, serving as a guide for industrial upgrading.

Many beverage companies are already partnering with JD Industrials to enhance competitiveness through digital supply chain intelligence. For instance, Chinese baijiu producers like Shuijingfang face challenges such as lengthy procurement processes for non-standard industrial parts, leading to high costs, and maintaining large spare parts inventories, which further increases expenses.

JD Industrials' technical team first conducted an on-site, months-long systematic review of Shuijingfang's industrial goods needs. Using the "Mercator" standard product database, they comprehensively enhanced the master data system. Subsequently, deploying an intelligent procurement system shifted procurement from a manual "person-finds-goods" model to an automated "system-finds-goods" process, significantly improving overall efficiency. After establishing the intelligent product selection system, Shuijingfang transitioned from a high-cost, high-redundancy inventory model to a lean, efficient, and flexible supply chain, achieving further cost reduction and efficiency gains.

**Building a Fully Digitalized Supply Chain for Baijiu Manufacturing**

According to the latest data from the National Bureau of Statistics, China's baijiu output fell by 12.1% year-on-year in 2025, marking the ninth consecutive annual decline. Meanwhile, market data shows robust sales for premium products and categories like low-alcohol beverages, driving overall retail sales growth. The industry's core direction is shifting from volume expansion to optimizing existing stock, upgrading quality, and competing on excellence.

Under pressures from policy adjustments, changing consumption patterns, and competition for market share, building robust cost and quality controls through digital supply chain upgrades is crucial. Integrating the entire chain—from raw material cultivation, brewing, and processing to packaging, warehousing, and sales—has become a key strategy for baijiu enterprises.

The industry faces long-standing issues such as remote factory locations, high seasonal variability, diverse procurement systems, and scattered resources. For example, production is highly dependent on climate, following traditions like "making yeast at Dragon Boat Festival and fermenting grains at Double Ninth Festival," often adjusting schedules based on temperature, which disrupts procurement planning and demands high supplier agility. This results in inefficient procurement management, complex supply chain fulfillment, and significant digital transformation challenges.

JD Industrials addresses these with targeted solutions like the "Taipu Mall Procurement Intelligence and Compliance Solution" and the "Taipu SRM Full-Link Digital Intelligence Solution." These adapt to various supply chain management needs while effectively breaking down data silos across procurement, production, logistics, and sales. Already deployed in multiple baijiu manufacturers, these solutions integrate digital and physical processes, helping companies achieve cost reduction, efficiency gains, supply stability, and compliance.

The solutions not only apply digital and intelligent technologies to streamline entire workflows but also penetrate key operational scenarios in baijiu manufacturing. They cover seven core areas: yeast making, brewing, filling and packaging, safety production, environmental protection, quality control, and storage and transportation, flexibly addressing needs in sourcing, delivery, and inventory management.

In critical scenarios like water quality testing, baijiu producers have stringent requirements, often exceeding national standards, and need results within ten minutes to avoid disrupting production. JD Industrials' tailored approach includes introducing portable testing equipment for bi-hourly monitoring, optimizing water treatment processes with technical experts, and helping build intelligent water quality databases for analysis and prediction.

Base liquor storage involves long cycles, high asset value, and hidden risks, with severe consequences for accidents. Some distilleries lack adequate fire safety measures, sufficient equipment, proper spacing, or explosion-proof electrical systems, urgently needing strict safety inspection and quality management protocols. JD Industrials' storage solution provides replacement alerts, customized plans, and optimal cost control. Their explosion-proof electrical application solution mitigates fire risks from alcohol leaks by configuring product combinations for specific scenarios, preventing sparks at the source.

**JD Industrials' AI Model Boosts Efficiency in Baijiu Production**

The industry's first industrial supply chain large model, JoyIndustrial, developed by JD Industrials, is gaining recognition in baijiu manufacturing. For example, it automatically analyzes label information and product descriptions, creating digital profiles and quality portraits for each product. This supports channel control, inventory turnover, unauthorized sales detection, and quality traceability, upgrading from manual records to intelligent identification and from static logs to calculable liquor assets. This has significantly improved structured data coverage and the efficiency of identifying label anomalies or violations.

Using AI 3D analysis and digital sample models, JD Industrials compares glass bottles, caps, labels, gift boxes, and packaging from different sources for appearance, assembly, and structural integrity. It automatically assesses impacts on filling line stability, transport damage rates, and shelf safety, helping production, procurement, and supply chain teams reduce risks. Post-implementation, verification efficiency for appearance and assembly consistency has improved, while risks of breakage, leakage, and returns due to inconsistent packaging have dropped markedly.

The JD Parts Brain is also being used in baijiu manufacturing, predicting spare parts demand and suggesting inventory levels based on equipment status, maintenance schedules, and historical consumption data. This optimizes parts management from the source, enhancing supply efficiency through smarter purchasing, lower stockpiles, and faster usage and replenishment.

Currently, JD Industrials' dedicated baijiu manufacturing solutions are delivering sustained value. A leading producer, for instance, has implemented JD's digital procurement, product, fulfillment, and operational solutions across five factories. This has enabled full online procurement, one-stop purchasing, stable pre-warehouse fulfillment, resolved "one code, multiple items" issues through product standardization, and utilized demand forecasting for precise inventory, effectively reducing storage and operational costs.

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

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