Introduction : Yonghong Technology, a one-stop data analysis platform, uses Yonghong's agile BI system to help the leading fresh food brand in the community, Qian Dama, accelerate the realization of the brand vision of "every meal is fresh".
Nowadays, purchasing fresh ingredients through online orders has become a daily life for many young people. Compared with going to the vegetable market, young people are more willing to buy fresh ingredients online. On the one hand, this is because online selection of fresh ingredients is richer, the shopping time is shorter, and the efficiency is high; Get higher cost performance, such as platform subsidies, holiday discounts, regular discounts and other mechanisms.
Fresh products are mostly high-frequency rigid demand, and they are "frequent customers" of consumers for three meals a day. Their distribution chains are long, the degree of standardization is low, and the production areas are relatively scattered. Even with the blessing of cold chain transportation, there will still be high Enterprises that can stand out in the fresh food industry must have full-chain refined operation management capabilities and service support capabilities, such as the leading fresh food brand in the community-Aunt Qian.
Since Aunt Qian started her business in April 2012, she has established a presence in nearly 30+ cities across the country, with a total of more than 3,000 stores and more than 19 million+ members. Her business includes vegetables, aquatic products, fruits, pork, meat (non-pork) There are more than 500 kinds of high-quality products in 8 categories of fresh products, including custard, custard, processed food and comprehensive standard products. For more than ten years, Aunt Qian has won honorary titles such as "Top 50 Chain Enterprises in Guangdong", "Guangzhou Unicorn Innovation Enterprise", and "Excellent Unit for Promoting 'Shenzhen Products'".
Among the many fresh food brands, Aunt Qian, who can become a leader in the industry, has her own set of "martial arts cheats". The first is the business philosophy of "not selling overnight meat" advocated by Aunt Qian, and she has always been committed to creating a "fresh, fast and more economical" shopping experience for consumers. Secondly, through the Nissin model, Aunt Qian clears inventory every day, uses methods such as sales and procurement, efficient contract fulfillment, and full-process control, and cooperates with opening stores closer to the community, so that sales to customers are shorter and time-sensitive , so as to ensure that the ingredients sold in the store are fresher. Finally, it focuses on fresh products, ensures product quality through product traceability, and adopts large-scale procurement and efficient turnover to reduce losses and save consumers more money.
Aunt Qian's well-known "fresh, fast and multi-saving" shopping experience stems from a set of efficient turnover digital system behind it: the efficient linkage of orders solves the inventory problem of the store; the efficient linkage of prices solves the problem of timely response to market changes and stores. The problem of product price differentiation; the efficient linkage of warehouses, and the establishment of different warehousing and distribution management systems based on category characteristics, to meet the efficient coordination of the whole process of business from receipt to sorting, logistics distribution to stores within 12 hours.
In the fiercely competitive fresh food market, timely, comprehensive and accurate grasp of product sales data, promotion data, profit data, customer data, etc. is crucial; Without the support of efficient BI tools, it is easy to lag behind data updates, customer loss, sales decline and even affect brand development. In order to support and ensure the efficient operation of the digital system, Aunt Qian introduced Yonghong's agile BI system a long time ago.
1. The "one-stop" Yonghong Agile BI can help Aunt Qian quickly solve data analysis problems
Compared with traditional BI, Yonghong Agile BI starts from the perspective of business needs at the beginning of product design, designs products with a "one-stop" design concept, and uses B/S architecture to allow data to flow smoothly on the platform. This can avoid splitting and processing data and reports, reduce the operating cost and time cost of data analysis, quickly meet Aunt Qian’s daily massive data analysis needs, and help managers make business decisions quickly.
2. AI-enhanced analysis allows business personnel to easily realize data insight
Compared with traditional fresh retail, the essence of new fresh retail is "technology-driven", that is, scientific management of planting, supply chain, loss, price, etc., cost reduction, efficiency improvement, and user experience upgrade through advanced technologies such as big data . The agile BI service provided by Yonghong Technology to Aunt Qian is no longer just a tool for viewing data reports, but an intelligent AI system that can understand the deep-seated reasons of business results based on real-time dynamic data, and can explain abnormal data. This in turn enables business insights and predictions.
3. The big data processing capability of Yonghong BI makes Aunt Qian's data analysis more agile ;
Faced with a data volume of over 100 million, the response speed of traditional BI usually seems to be unable to cope with it. Not to mention the slow processing speed, it may even cause the system to crash frequently. For Aunt Qian, who has more than 3,000 stores and serves 19 million+ members, Whenever it happens once, it is a disaster that the brand cannot afford.
In response to this problem, Yonghong BI's solution is to use the self-developed VooltDB high-performance computing engine, columnar storage, distributed computing and other technologies to achieve second-level response to billions of data. Practice has proved that its system is stable and efficient. This is also one of the important reasons why leading brands in major industries represented by Aunt Qian regard Yonghong BI as a group-level data analysis platform.
4. Lightweight analysis methods can help Aunt Qian to achieve self-service analysis
Yonghong BI provides visual process data modeling capabilities, which can quickly complete table and field escaping, heterogeneous data source association, multi-granularity expressions, data desensitization, abnormal data filtering, dimension measurement expansion, missing value filling, and deduplication , split column, range grouping, format conversion, self-loop column and a series of operations, improve data quality and improve reference value at the same time. In this way, Aunt Qian's staff all over the country can complete the production of reports, data analysis, and realize full staffing of data analysis through simple clicks, dragging and other actions, and can collaborate efficiently and perfectly without delaying each other.
"Currently, the entire fresh food industry, whether online or offline, is actively deploying digital upgrades. Consumer digitization, channel digitization, product digitization, supply chain digitization, and organizational management digitization have all become the general trend of the industry." Qian Dama Big Data Wu Jinghui, the person in charge, introduced that as a member of the CSIG Visualization and Visual Analysis Special Committee of the China Society of Image and Graphics and a member of the Organizing Committee of the CCF Shenzhen Branch of the Computer Society, based on years of industry experience, he believes that Aunt Qian has accumulated many years of digital transformation. So far, it has been at the forefront of the industry.
I believe that in the not-too-distant future, the joint efforts of Yonghong Technology and Aunt Qian will definitely help Aunt Qian further open up online and offline channels, realize multi-scenario layout, and truly realize "every meal is delicious" through technology and digital empowerment. The beautiful vision of “Fresh” will allow consumers to enjoy more trustworthy food.