Real-Time Data Drives Precision Production and Sales, Bing Yamen Sets the Benchmark for Freshly Made Chinese-Flavored Ice Cream

[Ebrun Original] In the fresh, ready-to-eat food industry, daily production and sales control is not just an operational process; it directly impacts a company's survival and competitiveness. Overproduction leads to inventory backlog, quality degradation, and rising costs, while under-supply results in missed sales opportunities and diminished consumer experiences. For the emerging ice cream brand "Bing Yamen," which centers its appeal on "handmade, fresh preparation, and short shelf-life," achieving daily production-sales balance across dozens of categories and hundreds of flavors, while simultaneously managing distribution and demand response for dozens of stores nationwide, presents a critical operational challenge.

Today, by building an intelligent production-sales system centered on data elements, Bing Yamen has not only successfully achieved dynamic matching of production capacity and demand but has also established a strong brand image of "Guochao Freshly Made" in the highly competitive ice cream market, becoming a typical case of digital transformation in the industry.

Precision Production Control: From "Experience-Driven" to "Data-Driven Decision Making"

Traditional ice cream production often relies on historical sales data and experiential judgment, making it prone to errors due to factors like holidays, weather, and regional taste preferences. Since the opening of its first store in 2019, Bing Yamen has been building a data middle platform system that integrates multiple dimensions, including sales, inventory, logistics, and user feedback. This system captures real-time sales data from each store, weather alerts, foot traffic trends in commercial areas, and even topic popularity on social media, using algorithmic models to predict the demand for each product item the next day.

"We produce dozens of different ice cream flavors daily, such as 'Baijiu-Infused,' 'Jasmine Bloom,' and 'Goji Berry Sprout,' which feature geographical indication characteristics. Their raw materials have short freshness periods and complex production processes, preventing long-term storage like industrial ice cream," said the brand founder of Bing Yamen. Through the data system, the factory can generate precise production plans one day in advance, enabling "order-driven production" and minimizing errors in raw material procurement, production scheduling, packaging, and distribution.

Smart Logistics: Ensuring the "Last Mile" for Short-Shelf-Life Cold Chain

Ice cream is a category highly dependent on cold chain logistics, especially handmade fresh products with a shelf life of only about 15 days, demanding extremely high requirements for delivery timeliness and temperature control. By integrating with third-party cold chain data platforms, Bing Yamen achieves full-process visual monitoring of delivery vehicle temperature, routes, and timeliness. The system intelligently plans optimal delivery routes and vehicle dispatch based on store order volumes, geographic locations, and traffic conditions, ensuring products reach stores within 6-12 hours after leaving the factory, thereby maximizing taste and quality retention.

User Insights: From "One-Size-Fits-All" to "Hundred Cities, Hundred Tastes"

Bing Yamen's product portfolio includes five major series: "Fermented," "Floral," "Fruit," "Grain," and "Herbal," covering diverse categories such as baijiu flavors, floral extracts, fresh fruit sauces, grain bases, and herbal infusions. How does the brand accurately push the right products to different cities and stores? The data system analyzes purchasing preferences, repurchase cycles, and taste reviews from users in various regions, forming regional taste profiles that assist headquarters in product iteration and developing region-specific flavors. For example, the "Ginger Milk Curd" flavor sells well in Guangzhou stores, while Foshan prefers "Jasmine Bloom." The system adjusts production and marketing strategies accordingly, realizing the brand vision of "one flavor, shared across a thousand cities."

Real-Time Response: From "Reactive Management" to "Proactive Alerts"

Beyond daily production and sales, Bing Yamen's data system also features market fluctuation alert capabilities. For instance, when a city suddenly hosts a large event, experiences a temperature spike, or sees a viral topic on social platforms, the system automatically identifies abnormal sales fluctuations and alerts the supply chain and stores to prepare for contingencies. In the summer of 2023, an influencer spontaneously recommended a specific Bing Yamen product that suited their taste. The system promptly detected the surge in orders, enabling the factory to quickly adjust production lines, increase output within just three hours, and initiate emergency deliveries, successfully converting the traffic into a significant sales boost.

Conclusion: Data as the Core Competitiveness of "Freshly Made Ice Cream"

Against the backdrop of consumption upgrading and the rise of Guochao trends, Bing Yamen, positioned as a "Chinese-flavored freshly made ice cream" brand, leverages data intelligence to achieve refined, end-to-end operations from production to consumption. This approach not only reduces waste and enhances quality stability but also builds a distinct perception of "fresh, healthy, and substantial" among consumers. Looking ahead, with the further rollout of its sub-brand "Ji La Duo" capsule ice cream and digital factories, data elements will continue to serve as the core engine for product R&D, channel expansion, and user experience optimization.

Bing Yamen's practice demonstrates that in the fresh, short-shelf-life food sector, data is no longer just an auxiliary tool but a key element in building core corporate competitiveness. Those who can respond to the market faster, more accurately, and more steadily through data-driven approaches will win the favor of both palates and the market in this era where "freshness" reigns supreme. Ebrun Think Tank will continue to focus on how companies build competitiveness through data elements. We welcome in-depth exchanges and are open to interviewing and providing comprehensive coverage of outstanding cases.

Contact email: huangbin@ebrun.com