AI, AR double swords together, let new retail paste smart labels

Giants have never stopped discussing and researching AI. As early as in July at Baidu AI Developer Conference, Baidu's president and COO Lu Qi announced Baidu's All-In AI, and Tencent has always been low on AI. The All-In AI slogan was also announced at the Tencent Global Partner Conference. Although there is a certain gap between domestic AI and the United States to a certain extent, its follow-up potential should not be underestimated. It can be seen from the establishment of Baidu Silicon Valley Artificial Intelligence Laboratory and the world’s top artificial intelligence expert Wu Enda as Baidu’s chief scientist.

The ultimate goal of the development of AI is to apply to the industry to achieve landing, find the right application scenario, is the key to AI and its value. The trend of AI in the future has caused major technology companies and businesses to start trying to combine AI with various industries so that they can have a place in the future. As the largest retail industry in the ecosystem, nature has become a rare fat.

AR enhances real shopping scene and brings better shopping experience

Some time ago, a unique “shoe mask dance party” held by Nanjing Jianye Wanda Department Store attracted a lot of attention. The man’s mask style is self-contained, and the coolness coefficient is almost equal to that of the night dress mask. If you don't look closely, you don't see anything at all. In fact, it is composed of two pairs of women's high heels. This kind of gameplay does make people feel that the brain hole is open. As a business owner, this gameplay not only gives the user a very real and excellent experience, but also greatly stimulates the desire to purchase after the experience.

According to the author's understanding, this gameplay is actually an AR interactive screen based on face recognition. After the interactive screen recognizes the face image, it matches the appropriate shoe mask according to its gender, age, and other characteristics.

In fact, this game giants Ali and Jingdong e-commerce has begun to layout, last year in November Taobao VR shopping BUY + formally launched, users can choose to buy goods in VR, although the experience is very common, but increased the authenticity of its shopping; the same In December, Jingdong also launched the AR shopping application JD Dream, but JD.com said at the time that it was still in a testing phase.

Nowadays, online shopping is becoming more and more popular. Users are not only increasingly demanding online shopping, but are also increasingly cautious about online shopping. On the one hand, ordinary shopping experience that lacks trust can not stimulate the desire to buy so that users can create Shopping fatigue; on the other hand, because of the frequent discovery of online shopping, there is a big gap between what they want and what they expect. Therefore, the ordinary shopping experience can no longer meet the increasing needs of users. For the mainstream online shopping platform with Taobao and JD.com, its traditional mode and gameplay can no longer stimulate the user's desire to shop. The previous instant shopping has ceased to exist. More is on the sidelines or buying after a while.

In online shopping, if you use AR to experience the shopping process, you will completely change the user's shopping experience in the shopping process, which will greatly stimulate the shopping needs. Users in the AR shopping process, such as buying furniture items, the user can scan the home environment through the mobile phone to restore the virtual room, in the real scene, and then you can choose different supplies for combination, decoration; For beauty-conscious girls, you can use AR to make makeup tests before purchasing cosmetics to determine whether the product is suitable for you. With this real application scenario, users will enjoy the online shopping process, which will also greatly stimulate users' purchase needs.

Similarly, offline retail combined with AR and AI will make traditional retailing more intelligent and allow consumers to experience a more convenient and smarter shopping process. After Amazon's “Amazon Supermarket” released by Amazon in 2016, it caused a sensation within the circle. Its black technology is an eye-opener and an instant shopping experience. There is no need for any settlement or other procedures throughout the process. A step of. Although in the end the concept of technical difficulties has not been able to land, but the side reflects the AI ​​is strong in retail applications.

The essence of AI is to solve the needs of users

So, how does AR and AI integration make traditional offline retailing smarter?

First, after entering the retail store, the camera around will use face recognition technology to capture the customer's face information in time, including gender, approximate age, automatically generate the face ID, and then through the shelf around the entire shopping process. The camera will record your shopping habits throughout the shopping process, like all the information of those goods, shopping expressions, etc., and then record this information with your personal record information. Then the next time you come to shopping, the AR interactive screen will combine products, face members, and scenes to recommend products that best suit your shopping needs.

There are three main aspects of the use of artificial intelligence technology in retail: knowledge, knowledge, and knowledge. Knowing people is the easiest to implement in these three aspects, because you will record your face information, including gender and age, through face recognition technology at the beginning. Knowledge and knowledge scene need to gradually form scale in the later repeated shopping process.

Whether it is the online e-commerce platform or offline physical retail, the essence of AI is to solve the user's needs, shopping needs and experience needs. The shopping requirement is that you can quickly purchase the desired product or the appropriate product during the shopping process. Experience demand is to enjoy the ultimate shopping experience in the process of shopping, including automatically recommend suitable products for you during the shopping process.

Every year, the double 11 will have huge data. There are user data, transaction data, and product shipment data... In 2015, the transaction volume was 126 billion yuan, and this year's double-tened number was 168.2 billion. . If you follow the normal logic, Ali will be more nervous and busy this year than last year. In the first few hours of this year’s double 11th, Ali’s technical core staff had coffee in the meeting. This can be done thanks to the intensive application of AI.

AI makes layout in advance based on the user's shopping habits

As the most important logistics link in the double-eleven process, data analysis is conducted in advance on the user's usual buying habits through AI, including purchase demand, regional demand, and a series of analysis, and the goods are distributed to warehouses in various regions in advance, and thus the A user can be delivered to the user's hands the first time after purchase. The situation of wrong delivery, missed delivery, and late delivery from the total warehouse delivery is avoided, and the efficiency of the entire link and the user's shopping experience are improved.

This year, the first single delivery of the double 11 was delivered from the warehouse within four minutes after the goods were posted on the rookie's electronic face, and the sign was successfully received in 12 minutes and 18 seconds. As far as the author knows, it can be done so fast. Since Taobao and Tmall's orders are passed through the rookie intelligent warehouse allocation system, robots and assembly lines automatically perform picking and packaging according to the algorithm.

The use of AI and AR in the retail industry is bound to make retailing more intelligent, but there are still some drawbacks, especially AR. In the early days, the technology is not very mature. How to make AI and AR better integrate with retail Constant research and try.

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