The Analysis Of Planning And Implementation Of Functional Foods Sales Promotion

Recently, functional food industry develops deeply fast as people are more and more concern about food-security and their family’s health. Although our functional food industry has to face many challenges, its future is still very bright. Our functional food industry has already been a huge global health care products industry. And the functional food industry has a huge market in the push of market needs, technical progress and management renewing. Chinese functional foods market now steps into the express-road.After reading domestic and foreign papers, I find that few scholars have studied the sales management of functional foods. With the rapid development of functional foods market in recent years, many small companies rise and develop and the sales promotion is an important part of their usual sales. But as most of them only focus on sales, they ignore the process management of sales promotion and the use of sales data. This paper studies the use of PDCA cycle in the process of functional foods sales promotion, which aims at providing a reference on data analysis and management for small companies or departments. The first part of this paper describes the background and study status at home and abroad as well as its structure and new or shortage points of this paper. The second part introduces the basic content and management methods of promotion with the theory and implementation steps of PDCA. The third part summarizes the analysis methods of promotion data and specific ways of data analysis in this paper. The forth part is the case analysis in the structure of P-D-C-A which describes the concrete process of each step and finally gives practical suggestions for this case. And in the final part, I discuss the effectiveness of PDCA cycle and the future research. The new point of this paper is to make a case describing of PDCA model used in promotion activities and more comprehensive statistical analysis than the past. And the shortage of this paper is the short of data during longer time and the incomplete indicators in analysis, as well as the uncertainty of the choosing of feedback periods.