May 2020retailtechinsights.com 19learning and character recognition to analyze customers' shopping preferences. Designed as a supportive tool for customers, the system assists in precision marketing, tracking the crowd flow, and improving the overall performance and customer engagement. Leveraging face recognition technology, the system collects real-time customer information which is analyzed to decipher the individual shopping preferences. The insights are leveraged to provide the visitors with a personalized display of recommended products. This, in turn, helps the retailers enhance their upsell and cross-sell opportunities.Driven by machine learning, Ret[AI]ling Data®SSP system helps clients remove the blind spots in addressing customer needs and enhancing the shopping experiences. The system leverages open data from POS machines to improve the accuracy of the insights. In working with the customer data, the company ensures it meets the necessary compliance regulations pertaining to data integrity. "We use dots and lines to outline human faces. This ensures consumer privacy and reduced data storage requirements," says Chih-Sean.To understand the customer footprint more deeply, Ret[AI]ling Data provides Ret[AI]ling Data® SMF system embedded with human flow detection technology that helps retailers detect the direction and intensity of people in a commercial area. A real-time crowd flow location is obtained from the three Taiwan-based local telecom operators who record this information through mobile phone signals. Ret[AI]ling Data®SMF combines the obtained data to understand the overall pedestrian flow and crowd density in a particular area.Backed by Taiwan Tourism Bureau, the company looks to implement motion-sensing technology in major theme parks in Taiwan to strengthen their customer interaction using motion sensing games, and customer flow control, and holistic data. Due to the massive spread of COVID-19, many brands are closing physical stores and withdrawing capital from Taiwan. To help them in this endeavor, Ret[AI]ling Data is developing a store closing system that assists in decision making. The artificial intelligence (AI) based solutions we offer help our clients select suitable locations and attract maximum customers
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