In this era of rapid technological development, in order to study the relationship between various data in order to make decisions more quickly, the process of processing and analyzing large and complex data has become very important. The amount of data in the world doubles every 1.2 years. Choosing big data applications can improve analysis efficiency and reduce sampling errors. Centralized big data becomes a single data source, which can eliminate redundancy and differences for enterprises. The expected output value of big data processing AIDC can reach 5 billion US dollars per year.

Because of the development of big data, the model of the retail industry is changing. Through the redesign of shopping malls, personalized customization, shopping APP, membership system, and the addition of payment options, the shopping experience is enhanced; smaller stores, redesign of large shopping malls, and the rise of discount stores reflect the transformation of the business ecosystem; data The surge in collection, personalized provision, and visualization of the purchase process reflect that consumers tend to consume rationally; click-to-pay integration, same-day delivery, locker delivery, and e-commerce models give consumers more choices. All this is thanks to big data.

Big data has a very important impact on the retail industry. For example, the comparison of prices and promotions, the store's website began to use census data and satellite images to make strategic adjustments, to study consumers' offline and online shopping patterns more scientifically, and it is easier to understand the research on consumers' shopping history The loyalty of consumption, the importance of social media for merchant reviews, the optimization of warehouse management, the prediction of future new product trends, the optimization of transportation and logistics networks, and more convenient labor management and scheduling.

When realizing the importance of big data, many companies have made adjustments. For example, Wal-Mart collects data from more than 1 million customer transactions per hour. Costco records the purchase records of each customer to facilitate the recall of goods. IBM monitors in real time The dynamics of new products in response to consumer demand, Windermere Properties collects data from 100 million drivers each year to calculate the commute time of customers to properties, etc.

In addition to big data, another important thing is the prediction of the future of automatic identification and data collection (AIDC). After combining the role of big data, AIDC is not only the collection of data, but also the "beast" of big data. Combined weapon. For example, data can be converted directly for analysis when reading barcodes; invisible 2D codes are used on washing labels to protect data security; RFID and NFC product attributes and payment; image and video are used for item identification; sensors measure temperature, maintenance Status and other information; geolocation is convenient for recording customer location for promotional activities, online click to observe physical objects, etc.