Sales Quantitative Analysis And Forecast Of Snack Food Retail

According to the《2016 China E-commerce Consumer Behavior report》,e-commerce accounts for only about 10%of total’ retail sales,and the vast majority of traffic and consumption are still offline.The present Internet business model has changed,accompanied by a flow of dividends,the transformation and upgrading of e-commerce is imminent,the difficulty of getting traffic and user increasing,increased operating costs are enterprises are facing difficulties.In this new consumer era,the retail industry is changing from simple price consumption to experience,personality and values."Full-channel Retail" as a new concept of retailing is based on the consumer as the core,trying to provide consumers with good shopping experience at all levels,and data associated with each other further by Internet technology.The most advanced technologies such as artificial intelligence technology as a driver,for all customers to provide all aspects of the new concept of full service.The offline channels on the line cooperate with the timely and fast logistics to provide people with services,so that customers can experience the comfortable experience of "the dream".L company is one devotes to delve into the snack food,retail service of professional brand chain operating company,has more than 2000 entity stores and across the country points storehouse system,online synchronous development,consumer can be in various electric business platform,stores,each big channel such as delivery platform anytime and anywhere to buy food.Based on 5 years online sales data accumulation,L Company is committed to data to drive,combined with the offline stores and logistics warehouse,through the new development of science and technology and the upgrading of the user experience,full channel full retail channel model is established.In this paper,some sales data and online store information data of L-company are used as mining objects,and the sales forecast and influence factors are explored using R language and multiple linear regression models.Based on multivariate linear regression model is not only applicable to snack food retail sales forecast,but the whole channel and retail marketing strategy can be provided with guidance,to improve the operational efficiency of all channels to retailers,such as channel layout is of important value.