Although “artificial intelligence” (AI) has become a well-known concept, there is no general consensus on the definition of artificial intelligence. The traditional idea of artificial intelligence development is to study how humans produce intelligence, and then let machines learn human thinking and behaviors. John McCarthy, the proponent of the modern artificial intelligence concept, believes that machines do not necessarily need to think like humans in order to obtain intelligence. The focus is on enabling machines to solve problems that the human brain can solve.
The fourth industrial revolution is coming, and artificial intelligence has gradually moved from science fiction to reality. Since the concept of artificial intelligence was first proposed in 1956, the development of artificial intelligence has experienced ups and downs. With the breakthrough of core algorithms, the rapid improvement of computing power, and the support of massive Internet data, artificial intelligence has finally ushered in a qualitative leap in the second decade of the 21st century and has become the focus of global attention.
So, what convenience will e-commerce combined with artificial intelligence bring to us
1. Recommendations and personalized forecasts
Big data, Bayesian algorithms, etc. can realize intelligent recommendation functions and reduce user selection costs, including:
Interest recommendation based on search, purchase and browsing records (similar, complementary algorithm, high frequency, low frequency, etc.)
Recommend activities based on the user’s visit time (estimate the user’s possible usage scenarios based on time, and then make recommendations)
Location-based recommendation (check if the user is in an offline business area and if they need to recommend a store)
Recommendations based on social attributes (guess what the user may need based on friend relationships, social behavior, etc.)
2. Find similar products through pictures
This is an area that has been used for a long time, but it may be one of the most popular features. Through computer vision + deep learning, “search for pictures with pictures” is achieved. For example, a girl likes a dress with a heart-shaped pattern, but there is no way to buy it. Then, she uploads the photos to the e-commerce APP, and AI can finally give links to similar products based on the product’s style, specification, color, brand and other characteristics.
3. Artificial intelligence customer service
JD.com’s intelligent robot JIMI has been online since the second half of 2012. Its cumulative service users have exceeded 100 million. The open platform was officially released on September 7, 2016, and it is free and open to third parties.
In March 2016, Alibaba released the artificial intelligence service robot “Shop Xiaomi”, which provides intelligent customer service for tens of millions of merchants. After being authorized and debugged by the merchant, it can replace part of the customer service, thereby reducing the workload of manual customer service.
4. Use AI to reduce e-commerce costs
In terms of content management: AI can use pictures to label products, create posters, and write simple promotional text.
Unmanned warehouse: automatic prediction, replenishment, placing orders, warehousing and putting on shelves through artificial intelligence.
Marketing effect prediction: By studying previous activity data, a formula to avoid invalid marketing can be drawn.
5. Understand trends and consumers
In fact, a lot of user information is hidden in pictures. According to the pictures browsed by the user, the machine can learn about the latest trends of a certain category (such as specifications, styles, color materials, etc.), which is the favorite of product producers. This is also an important basis for the negotiation between the platform and the supplier
With the development and gradual maturity of AI technology, e-commerce has also entered a new stage. With the help of AI technology, sellers can better understand consumer shopping habits, reduce management costs, and earn more profits.
At present, cross-border e-commerce and live shopping, live games, and e-sports have become industries that young people like very much, and many young people have made money in these industries.
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