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AI+ Internet of Things to Create New New Retail
In p>218, these keywords were constantly mentioned: Internet of Things, artificial intelligence, big data, cloud computing, blockchain, 5G commercialization, new retail ... Facing the new era driven by technology, more and more retailers began to use artificial intelligence to help them realize business transformation. In the future, the main people competing for business will be the consumers born in the 198s, 199s and s. They are born with no shortage of materials and products. What they need is a kind of "experience" and "care", which needs face-to-face communication and touch.

Shoppers in the internet are eager for real personalized experience, which reflects the retailer's commitment to information control and instant interaction. Retailers also realize that they must provide customized customer experience to retain their existing customer base. However, what kind of problems do retailers encounter when they realize customized services for consumers? How to truly realize the customized experience? In the new retail era, what problems have been encountered in data acquisition and analysis?

even with all these advances in the digital age, as many as 9% of retail sales still take place in physical stores. In the fashion retail industry, customers still want to walk into clothing stores to see, touch and try on different clothes. Retailers are aware of the need to collect data from the whole enterprise, but it is difficult to enjoy cross-channel data. For example, in the whole sales process, it is difficult to collect customer data from all contact points, such as customers' online search, customers' entering the store to watch, trying on, sales staff's warehouse to find products, and communication with customers during the delivery and sales process. In particular, the previous contact and data sources of these data are faced with many difficulties, so they cannot fully satisfy the "experience" of customers' shopping at home.

if you want to satisfy the customer's "experience" and "care" of being at home, the salesperson must be able to guide the customer to successfully complete the shopping, and provide a targeted personalized experience to effectively interact with them. To provide this level of service, you must have an excellent experience that can optimize data and analysis to provide services to customers. If customer data is unreliable or improperly integrated, retailers cannot correctly analyze and track their end-to-end supply chain, nor can they provide their employees with appropriate tools to promote personalized customer experience.

customers want a seamless experience in all channels, and retailers are relying on digital technology to improve their in-store experience. Personalization technology ranks first in the list of retailers' in-store investment priorities, but retailers can't forget that the effectiveness of personalization ability is closely related to the effectiveness of data supporting personalization.