After Google AlphaGo defeated humans in the war of man and machine, artificial intelligence (ArTIficial Intelligence, referred to as "AI") almost became synonymous with the future. Many industries have formed an atmosphere of "who masters AI and who has mastered the future."
However, after artificial intelligence was first written into the government work report, it was also suggested that artificial intelligence has become a chasing slogan and concept, an overheated IP. The implication is that in the pursuit of capital, industry and public opinion, the artificial intelligence lacks the real use of the scene, and the market expectations have produced a huge gap.
On April 12, at the 2017 World E-Commerce Conference held in Yiwu, a number of startups with artificial intelligence as their core business questioned this view, saying that although domestic artificial intelligence technology is still in its infancy, its service, Applications in specific areas such as strategy, search, and pricing are transforming the retail industry.
According to media reports, there are about 40 artificial intelligence startups in the domestic retail industry. The functions implemented in the e-commerce field mainly include customer service, real-time pricing promotion, search, sales forecast, and replenishment forecast. Goldman Sachs had predicted that by 2025, artificial intelligence would save $54 billion in annual costs in the retail industry, creating $41 billion in new revenue.
So, how is it changing e-commerce today, just in the era of artificial intelligence?
Determine the best price
In the traditional mode, companies rely on data and their own experience to complete commodity pricing. However, with the rapid expansion of the scale of e-commerce, the variety of goods that each salesperson needs to manage is increasing, and the amount of data facing it is becoming larger and larger. To achieve fine management, more energy and resources must be invested. At the same time, the e-commerce platform's "building festival" trend has also increased the difficulty of pricing.
With the artificial intelligence that has the ability to process big data quickly, many companies have now basically solved the automatic pricing of a large number of products through this technology.
In addition to the large-scale e-commerce platform to develop smart supply chain independently, artificial intelligence decision-making company Shanshu Technology is also solving artificial decision-making through artificial intelligence technology, which is one of the most important scenarios. “When the cost of production factors is increasing, companies are also facing tremendous pressure for efficiency gains. This is why big data and artificial intelligence are gaining more and more attention in recent years,†said Wang Wei, co-founder of Shanji Technology. After years of development, the domestic e-commerce industry has gradually entered the second half. In terms of pricing, large e-commerce companies are in urgent need of volume pricing and avoiding the irrationality of empirical pricing. The intelligent decision-making system can assist in sorting out product data and establishing a model for dynamic pricing and clearance pricing.
More and more smart customer service
In March of this year, Alibaba released the artificial intelligence service robot "shop Xiaomi", this intelligent customer service for the Taobao million merchants, after the merchant authorization, debugging, can replace some customer service, thereby reducing the workload of manual customer service.
During the double 11 period in 2016, Xiaomi had invited Apple, Xiaomi, Senma and other 9 brands of Tmall flagship stores to participate in the internal test. In the end, the store received nearly one million consumers in one day, saving nearly one and a half customer service manpower. .
A similar product is the intelligent robot JIMI that Jingdong has been online since the second half of 2012. Its accumulated service users have already broken 100 million, and officially released the open platform on September 7, 2016, free to open to third parties.
At the 2017 World E-Commerce Conference, Peng Wei, co-founder of Wisdom Technology, which is dedicated to artificial intelligence interaction technology, said, “At present, robots can solve 40-60% of problems for e-commerce users. When robots can't handle them. The problem is handed over to the manual process, and the robot can continue to assist the manual, which can improve service efficiency by 60% and reduce the cost of manual service by 30%."
Unmanned warehouse becomes possible
The most direct impact of artificial intelligence is the back-end supply chain and logistics. Through artificial intelligence, the system automatically predicts, replenishes, places orders, enters warehouses and shelves. In the logistics and storage segment, both Alibaba and JD.com have released their unmanned storage systems. The result of the automation of warehousing logistics directly results in the efficiency of the most important part of the original e-commerce, cost optimization, and thus create greater profit margins.
The use of artificial intelligence technology in warehousing may be more valuable to fresh e-commerce. The industry generally believes that the difficulty in the operation of fresh e-commerce lies in the supply chain, and the difficulty of the supply chain lies in the sales forecast. For the pre-storage mode, it is necessary to allocate hundreds of commodities scientifically to dozens of warehouses at the same time, and the difficulty of inventory management is further increased.
The fresh e-commerce U shopkeeper reduced the loss rate from 12% to 8% through data mining and machine learning, and its sales forecast has reached 93% matching with actual results. With the support of the artificial intelligence neural network model, the U dispenser can better control the purchase volume, thereby reducing the loss rate and the shortage rate.
Let the business know more about consumers
"If the company can integrate deep learning into its e-commerce website, this can significantly improve the user's search capabilities," said Intent AnalyTIcs CEO and artificial intelligence expert Bhatia. For example, a woman may have a photo of a skirt. She likes the skirt very much, so she uploads the photo to the search bar of the shopping site. With artificial intelligence, the shopping site can immediately analyze the photo to understand the style and size of the skirt. , color, brand and other characteristics. Consumers can also immediately find what they want.
At present, domestic codelong technology is also providing similar services for enterprises. The artificial intelligence model ProductAI created by the startup company Codelong Technology through "Computer Vision + Deep Learning" has been able to find photos and product attributes management functions for the e-commerce platform.
“The e-commerce platform customer has been on the line for 2 months, and the order volume has increased by 20%, saving 25 people.†Huang Dinglong, founder and CEO of Codelong Technology, told “The World Network†that ProductAI can also put the color of the clothing in the picture. Elements such as materials, styles, etc. are extracted to form fashion trend data. “This feature is more important to e-commerce providers.â€
“In the past, suppliers who wanted to provide consumers with products that were more in line with individual needs often had to spend a lot of time and look for different ways to conduct surveys and tests.†Huang Dinglong said, “Now, through artificial intelligence technology, businesses can be made Better understand consumers."
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