Apparel industry big data changes worth pondering

Big data now has infiltrated all walks of life, the apparel retail industry is no exception, the advent of big data is quietly changing our understanding of the industry, both from the data or mass data analysis will break Traditionally, it's done in an unprecedented way.

For a store, the operator can see the terminal shop in real time passenger flow, customer spending in the shop line, the attention of the test marketing products, VIP consumption. Retail analysis is not limited to the traditional extensive data , but a more proactive way to record changes in each terminal of the factors.

We do not need to re-create anything, just need to record every incident that occurs every day, analyze the correlation among them, and draw the most accurate judgment.

The big data revolution in the apparel industry will shift us from causality to related relationships, and we only need to focus on the relationships and do not need to understand why.

When data is collected at the "molecular" level, the nature of the data presented changes. Once you understand these new properties, you can use the data to do things you have not been able to do before.

On the face of it, we use big data to analyze day-to-day management decisions, but even more so, we can predict the future. In an industry where the odds and relevance dominate, managers must match the objective facts presented by the data.

When every detail of a store is recorded and stored in its entirety, the future becomes extremely clear.

By collecting data on everything that happens in the store, we can find the correlation between the data, that is, whether the other data will increase as the data increases.

For example, we can comprehensively monitor the traffic of shops, find the characteristics of Class A shops and the characteristics of BC shops, and find the characteristics of consumer products through the analysis of turnover rates. Especially in the holiday festivals or promotion season, detailed analysis of these data will allow us to see more subtle differences.

For garment enterprises, the store is the bearing and final inspection of all front-end work. The store data is the hub and artery for all data of the brand operation. Only the profitability of the terminal store profitability can be gained.