How is the digital transformation of retailing carried out? How does new technology empower the retail industry?
What is happening in the traditional retail industry? How to carry out digital upgrades in stores? What changes can the information construction bring to the enterprise? How do retail companies build their own private domain traffic?
On September 5th, at the “2019, Future Retail in Change” theme salon held at Pro, opened as technology CEO Yang Tong, Barabala Zheng Yuyu, Chief Information Officer of New Retail, Tian Qirong, Vice President of Gaiya Workshop, Hua Caixiong, CEO of Yonghui CIO, and Vice President of Super Shopping Guide Liu Jinguang shared these topics.
Open as Technology CEO Yang Tong | Use Face ID to build strong connections for brands, stores, and Cs
Open as Technology CEO Yang Tong
First share a few big trends with you.
The first one is The development of Face ID. We can compare the popularity of QR code, from Jianqun (scan code plus friends), payment to marketing, brush face will also be The same path.
Starting in 2013 and 2014, artificial intelligence and deep learning enable the face to be authenticated.This is a social function, such as the high-speed rail station to face the station; then pay In 2018, it was called the budding year of brush face payment. Last year, Alipay launched an offline brush face payment, but The current brushing equipment in more than 20 million stores in China is less than 1%. Opportunity reaches 5%; reference to the development of QR code, The next step must be based on a complete set of marketing systems for the face, which is the next important tool.
The second trend is the digital transformation of the offline store. Membership operation has become a new concept of offline user experience. It is a temporary business to manage goods and members. On this basis, many offline stores have management needs for members, and the addition of Face ID will make Face ID a new member management system.
The third trend is that offline branding is increasingly focused on product effectiveness. Everyone has been looking for a particularly efficient combination of quality and efficiency, and the closer to the product, the closer to the payment, the higher the value. Based on the evolution of Face ID, we see a completely new, interactive marketing model with a strong appeal.
This The convergence point of the three major trends is also the birth point of the technology solution. What Kaiyuan wants to do is the most golden traffic portal under the line, including entering the store area, some high-traffic shelf areas, and payment areas. By deploying LOT devices with face recognition, occupying traffic outlets, and then integrating the people’s yards. These disparate systems, CRM, ERP, payment big data in the middle, and finally through the complete data and complete scenarios to achieve the transformation of the entire offline marketing.
The data of the retail scene is a huge gold mine. The traditional scheme is not well mined, and the solution is complete to complete the data collection of people, goods and fields. Where, at what time, what kind of person, including age, gender, what to buy. Family management based on Face ID, as well as collection and analysis of people, goods, and field data, to help customers achieve accurate marketing, and ultimately help stores to improve GMV.
What I hope to create is a cross-business face sharing system, such as clothing stores, pharmacies, convenience stores, and food and beverage outlets. In the traditional solution, their data is completely dispersed, and based on Face ID, data can be shared, and the customer’s data can be better integrated to form a complete image, which can better serve each customer.
Zhang Yuyu, Chief Information Officer, Barabala New Retail | Digital Future of Stores
Baala Bara New Retail Chief Information Officer Zheng Yuyu
Today I will share with you, Barabara digitizes the application of this piece in the store.
What are the difficulties in the retail industry now? The number of passengers in street shops and shopping malls is declining, the competition between brands is even worse, the rents of stores are still rising, and management decisions are getting harder and harder. Why is it difficult? Because there is no data driven, I don’t know what kind of people and what kind of people are in the store. In this environment, we have made some new retail attempts in our own stores.
The Senma Group achieved 8 billion e-commerce last year and nearly 25 billion offline,bute-commerce and offline It has only been connected since last year. Last year, the double 11 was opened on both sides, the online Tmall placed the order, and the offline store shipped. I personally think that this is just a retail model, and we have another type of doing it, which is the more popular private domain traffic and small programs.
With this paradigm shift, there will be more data-driven front-end operations to upgrade the consumer experience through technology. At present, our shopping malls account for 50%, while street shops are falling, because the experience of all aspects of street shops is not very good. We also have upgrades in this section, assisting company decisions through data alerts, such as remote patrol stores, passenger flow statistics and real-time feedback.
First use the passengers, patrol equipment, and face recognition equipment arranged in the store to quickly capture the user’s portrait. There are many face recognition applications, and the train station is the most common, but there are not many companies that can combine data and membership in commercial use. We can catch the face and catch the data, but my members can’t bind it. This is a problem that has not been completely solved at present.
There is precision marketing to reduce operating costs. We have put some software and equipment on the client side, so that when we enter the store, we know what kind of things he likes, and we can go to give him accurate marketing.
Our smart store software integrates marketing data, customer flow data, and member data. The applet can be divided into ends, one is the store side, let the shopping guide andThe store manager clearly sees the future indicators, what are the portraits of the members, and how to conduct targeted communication; There is also a management terminal behind, in addition to data analysis, there are remote patrol shops, the office can See real-time videos of national stores. After the software was added, the labor cost was greatly reduced, and each area could manage 40 stores, which greatly improved the efficiency.
In the Wisdom Store, will crawl traffic data and do precise marketing when coming in from the door, based on Face ID will do some interaction, such as virtual fitting; generates passenger flow analysis through different time periods through passenger flow statistics, which is equipped with the number of shopping leads, such store management can save costs;and Smart AI screen, you can place orders directly through the small program, this screen is not just In the store, can be placed as long as it touches the user, , for example, children’s wear can be placed in early education institutions, maternity and baby venues, swimming pools, etc.; Mobile cashier.
We are still trying automatic vending cabinet, the first to discharge mineral water, put our products below, we are still trial and error. Everyone knows that when is playing in a shopping mall, buying water should go to the supermarket on the ground floor and buy it in other places. We put as a scene. For example, we have a store on one floor. We shop this equipment. It is mineral water, we sell our goods below, and even different floors we sell different services, invisible. Increased the income of the store.
Our smart store software has more than 10,000 stores nationwide, covering 80%; AI equipment has paved nearly 1350 stores nationwide, accounting for about 40%; Smart screen and automatic For the sales counters, we have about 300 stores in the country, accounting for nearly 15%. So far, the monthly traffic we have captured is about 2 million, but this is only part of it, because we have nearly 5,000 stores and one hundred million traffic a year.
Next we will work with Kai to work on a travel project, mainly using airport stores for drainage. Open two places this yearBeijing Daxing International Airport Store and Wuhan Tianhe International Airport Store, will be gradually opened at most international airports next year.
Tian Yarong, Vice President of Gaiya Workshop | Give the store manager an afternoon and an 80-minute shift next week
Tai Yarong, Vice President of Gaiya Workshop
Today This topic I share is related to people. The cost of all aspects of retail business is rising, rent costs, storage costs, renovation costs, property costs, and a very critical cost is also rising – labor costs.
China’s labor costs rose 17% last year, with a gap of around 12 million. Gaia is currently the largest labor management service provider in China and even in Asia Pacific.We believe that there are now opportunities to use some digital methods to help front-end store management get rid of human experience. “I don’t think you think, I want to digitize to suggest how to do something.”
The first thing is to predict future sales and business volume, which is a very important point in the entire retail industry. As a company with human resources, we have done a good job in forecasting, including forecasting passenger flow, sales, and categories. Through our technology, we can help customers achieve 80% sales accuracy prediction.
The forecast for sales is for scheduling . I want to share with you one thing here. In the industry, the most predictable scheduling is to sell burgers. This system is done by McKinsey. They do the scheduling. The most detailed.
This is a Western approach and China has a new discovery. In the past, when the labor was predicted through sales and passenger flow, the West used very standard labor standards. For example, the standard for hot pot restaurants is how long it takes to cut a piece of beef, and how much time a Starbucks coffee has. This standard is ok, but not flexible. In fact, when the passenger flow changes, this standard is changed, and the passenger flow is dense.