.Artificial intelligence is coming! What will physical retailing become?
We may wish to imagine these five parts from smart stores, smart buyers, intelligent storage and logistics, intelligent marketing and experience, and smart customer service.
Smart store:
1, vip identification
With the wide application of intelligent technologies, face recognition systems will become smart applications with a high penetration rate of the terminals as well as anti-theft monitoring. Through the continuous accumulation and analysis of data, VIP customers can be effectively identified and recommended to store mobile phones. VIP’s historical store information and purchase records are presented at the same time, making preparations for retail work. In the future, using artificial intelligence technology may realize such a typical application scenario: When a customer enters the smoke hotel, the artificial intelligence technology can immediately use the cloud data to discover whether the customer has gone to many similar stores in the past week, and then judge this Is it a customer with a strong desire to buy recently?
2, layout and configuration
For retailers, the layout and configuration of new stores has always been a difficult choice. Using artificial intelligence technology to understand nearby areas such as sales scale, customer buying habits, age groups, demographics, ethnicity, seasonality, competitors’ distance, etc., in contrast to help retailers choose an optimal environment location .
Smart buyer
1, optimize the product portfolio
In addition to smart stores, AI has a wide range of applications for optimizing the back-end supply chain, and the core is to reasonably control inventory. By intelligently diagnosing the current category structure and optimizing the allocation of category resources, the scientific life cycle of automatic division of product roles, new product mining, and old product elimination has been achieved; more importantly, the use of artificial intelligence algorithms can comprehensively evaluate the score of a product, users Evaluation, cost performance, and service quality, and based on these indicators ultimately determine the ranking of product sales, in order to break down the selling point elements in each product, and use AI algorithm to correct the weight of each element, and finally get a highly effective product Sales Plan.
2. Conversion interaction
In the future, customers who shop at Terminal Hotels can use AR to view detailed product information and relevant evaluations before deciding whether to purchase. Businesses also have more marketing opportunities. After the user purchases goods, they can scan the line of goods, play an AR game, and then get merchant coupons, increase the possibility of secondary consumption, and increase the conversion rate.
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