Core demands
Clothing heritage is targeted at high-end clothing customization services. However, due to the high turnover rate of shopping guides in traditional offline stores, customers often feel strange discomfort after entering the store. How to make customers feel honored when entering the store and make sales become more sustainable is the existing puzzle of clothing heritage in welcoming customers.
In the operation of consumers, Clothing Inheritance hopes to let consumers know the dynamics of stores and brands at the first time, obtain customization progress, obtain after-sales maintenance information of clothing, etc. Therefore, more efficient service to consumers is the primary demand for clothing inheritance. The three problems to be solved are:
1. How to let sales serve consumers with a clear target, and precipitate and accumulate the consumer data of the brand for many years;
2. How to improve the shopping experience of consumers, improve the conversion rate, customer unit price and repurchase rate, and enhance the stickiness between consumers and brands;
3. How to manage the brand, improve user loyalty, and improve the ratio of old to new.
Solution
The Smart Customer Experience Management System of Jiangsu Huiwu Data Co., Ltd. combines the face recognition technology of Baidu AI, which can accurately identify consumers. At the same time, it provides the brand with retail store solutions focusing on cashier, shopping guide, store management and omni channel CRM.
The specific program benefits of Yi Chuang after using its company's "Smart Yueke" intelligent system are as follows:
Highlight 1: Consumer identity and consumer asset precipitation
(1) In store consumer identification and user data accumulation
When the customer enters the store, the camera based on Baidu AI technology captures the face and matches with the background CRM system. The system automatically identifies the customer's identity (new or old customer). If it is an old customer, the shopping guide will check the customer's details (identity information, behavior preference, consumption information, etc.) in real time through the APP. The system will collect the customer's visit behavior at the same time, Settle user data relying on the background CRM system.
(2) The user data precipitates to form a unique view of the consumer portrait
Get through customers' omni channel contacts (WeChat, App, applet, online shopping, etc.), collect omni channel data to each customer's unique global view through unified identity management combined with FaceID technology, including customer panoramic images of customer attributes, life cycle, value evaluation, activeness, labels, behavior, etc.
Highlight 2: Consumer connection and operation
(1) Consumer interaction platform: offline stores make full use of existing social networks to fully connect with consumers through WeChat, applet, and online shopping.
(2) Intelligent shopping guide: multi-channel access and operation of shopping guide, one-on-one interaction of offline and online exclusive shopping guide, improving customer transformation
After customers enter the store, the shopping guide can view the details of customers entering the store in real time. Based on user data, targeted marketing can improve the conversion rate of offline consumption; At the same time, through the online membership center, one-on-one online interaction of shopping guides can provide customers with personalized one-stop membership services and increase consumption frequency.
Highlight 3: The user data based precision marketing scenario supports real-time marketing, targeted crowd marketing, periodic timing targeted marketing, special time triggered marketing and other scenarios through the marketing center and intelligent marketing scheme.
Customize marketing tools to meet various marketing scenarios
Highlight 4: The data center can provide analysis and presentation of data from different perspectives, such as consumers, behavior, marketing, trading, and commodities, around the three elements of people and goods yard. The powerful data engine truly realizes real-time query of massive data, and one click query of all dimensional conditions.
