Apply big data model to comprehensively rectify the kitchen equipment industry

In the current complex economic environment, the voice of transformation and upgrading of the kitchen equipment industry is getting higher and higher. It will only be more and more difficult to rely on the traditional sales model to survive. Kitchen equipment companies must seek development, adopt reforms, adopt new technologies and management Planning mode is imperative. In this case, the big data model may be able to inject new vitality into the development of kitchen equipment companies.　　Big data refers to the use of massive data analysis to reflect on the past, adjust the status quo, and plan for the future. The main function of the big data model is to avoid risks, dynamically adjust, and monitor in real time.　　Kitchen equipment data analysis can better achieve sales　　With the continuous popularization of informatization and the increase in the number of users of various social networks, the degree of public sharing of information has reached an unprecedented height. Therefore, nowadays consumers are increasingly dependent on the Internet when choosing products. Especially the new generation of post-80s and post-90s consumers are the main force in promoting the networked sales behavior.　　 At this time, the collection and analysis of network data by kitchen equipment companies is particularly important. Studies have shown that in American companies, every 10% increase in data intelligence will increase the quality of products and services by 14.6%. For example, in the retail field, Wal-Mart has begun to use the massive sales data continuously generated by various chain stores, combined with weather data, economics, and demographics for analysis, so as to select suitable merchant products in a specific chain store and determine the price reduction of the product. opportunity.　　 This approach of Wal-Mart falls into the category of the'big data model'. Does it have reference significance for the sales field of our country's market? The answer is yes. In our country, the territory is vast, and the climate and customs of different regions are very different. At this time, kitchen equipment companies can achieve better sales by launching specific products to various regions through massive data analysis. The popularization of kitchen equipment enterprise decision-making changes is more detailed. From the perspective of kitchen equipment enterprise management, the traditional enterprise decision-making model, whether it is core competitiveness theory or positioning theory, is an elite decision-making model; and big data It is to transform the decision-making of kitchen equipment enterprises from an elite style to a popular one. The big data model can turn various irrelevant data into effective information for service decision-making after certain technical processing, thereby changing the decision-making method from business-driven to data-driven.　　 Give a simple example. Nowadays, many kitchen equipment companies make passive adjustments through the information feedback from the market by pure salesmen. Such a model is difficult to gain a foothold in the fiercer market competition, and it is very likely that one step will be wrong and all will be lost. . The data-driven is based on a series of consumer changes from the past to the present, combined with data such as weather, social hotspots, various environmental changes, and consumers’ awareness of the product. Consumer trends, and then actively targeted changes, not as blind and subjective as traditional business drivers. Kitchen equipment data feedback can effectively avoid risks. Many kitchen equipment companies now lack in-depth analysis of customer needs, business processes, brand marketing, and market competition. Managers only rely on business status and subjective experience to evaluate and judge the market, which is easy to cause Strategic mistakes and inaccurate decision-making positioning, resulting in great risks.　　 The significance of dynamic adjustment lies in the fact that companies can find product defects and difficulties faced by the company in a timely manner in the information fed back through massive data, so as to quickly come up with a solution to reduce negative effects or increase positive visibility. Under the trend of big data mode, it is recommended that kitchen equipment companies establish a real-time monitoring mechanism for market data, and monitor consumer demand for products or services through massive data analysis, so as to improve service quality and determine the true direction of sales.　　 In short, the significance of the big data model is to discover the true needs of consumers through social media, tap the creativity of employees and the public in big data, and promote the evolution of the corporate decision-making process from passive to predictive. For kitchen equipment companies, this will also be beneficial, and it is a future development trend. Kitchen Equipment Network: