1. Out-of-stock information is recorded.

2. Human error is eliminated from data recording, resulting in greater accuracy.

3. There is no respondent error.

4. Accurate data intervals and faster reporting.

The current Internet has long been in the rapid development stage, many companies use new retail data analysis. Through big data it is possible to understand the purchasing behavior of consumers, but also to understand the real needs of consumers. These data have long been an important basis for business decisions of many retail enterprises.

Expanded:

New retail data analytics can be used to meet the needs of the current market for diversification in a variety of different ranges. Along with the rapid development of the times, the business of retailing has also seen significant changes, from the initial large and comprehensive, began to gradually shift to the exquisite, to the current consumers to bring a multitude of diversified products.

Through the new retail data analysis, it can be a comprehensive mining of consumer data, to achieve the effect of on-demand production, allowing consumers to quickly enter the role of reverse guidance, effectively solving the inventory backlog and many other problems, to meet the daily life of the operation.