Lagged behind in introducing digital system.
Hard for new stores to attract customer flow.
Low member registration conversion rate.
Inaccurate shopping guide service.
Uncontrollable returning service.
Low store check efficiency.
Non-uniform standards.
Hard to control formalism.
Hard to find out assistants collecting cash from customers privately.
Hard to contain the situation where store assistants purchase in bulk at low price and re-sell after the higher price recovers.
Hard to identify cashier fraud.
线上娱乐 优惠活动办理大厅彩票
Help companies to patrol the store intelligently. Staff appearance, merchandise display, store hygiene, etc. are implemented in accordance with the company's required norms and standards, and store management efficiency is improved.
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Accurately count the number of people passing through the store, the number of people entering the store, the number of purchasers, etc., understanding the rate of entering the store, the conversion rate, and effectively guiding the operation of the store.
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AI intelligent detection and analysis enables to push platform warning to specified person in charge for treatment if there is any abnormal cashiering data or abnormal cashiering behavior. It detects ten thousands of transactions per day and protects the restaurant stores.
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With member's authorization, face recognition technology will promptly push the member's information on consumption records to handheld device of corresponding shopping guide at the moment when he/she enters the store. Shopping guide will make accurate recommendations based on key information. This not only greatly improves service quality, but also facilitates in-store conversion and increases operation revenue.
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