Looking far, we may go better, so we also want to explore the future. One expert said that this is not a profound matter - the invention of lighting technology was originally wisdom. "The dream is still there, if it is realized in a day?" The heart of a woman, the light to listen to - how bright is the future wisdom lighting? How important is it to read "her"? Why do you want to understand a woman's heart? For men, this is of course the premise of conquest; for the business, this is the key to earning more than 70% of the social consumption quota. In the conclusions of various literatures on female consumption research, it has been pointed out without any surprise. The 21st century has been positioned as the "her" generation. In the past decade, women-led consumption has moved from the online shopping consumption patterns that they have taken the lead, to the horizontal commodities, real estate, business investment and other commodities and fields. For businesses that are not profitable, how to accurately grasp or even predict consumer preferences is an eternal theme. Especially for the retail industry, the common consumption characteristics and differentiated preferences of female groups are simply the lifeblood of business survival. Never stop trying In the old business model system, consumers' preference for shopping places can only be one-sided reaction to the sales performance of different brands and different brands of shops, but this is a lagging and relatively flat process, because the statistical dimension of the data is too small. Technically, it is also difficult to digitize the decision-making process of consumers. For example, how long did Jessica stay in several stores in A Shopping Mall, and what price areas did they go to, finally decided to buy CK classic jeans? Except for the number of transactions, we seem to know nothing about it. The sum of the customer's transaction decisions determines the core value of the business system. Therefore, in order to grasp the consumer's preferences more accurately and as comprehensively as possible, from the end of the last century, efforts to use statistical techniques to analyze consumer behavior characteristics are Never stopped. Figure: Infrared flow statistics is the first to be widely used in addition to labor. The principle is equivalent to the current electronic policeman who automatically takes pictures with red light. The simple counting function of 0 and 1 is realized by infrared sensing, so as to grasp the flow of people in different areas at different times. The situation, indirectly converting the value of the commercial area. Then, there was an upgraded version that differentiated the trend. Figure: A non-contact statistical system that uses a surveillance camera to image the proportion of fuzzy population calculations (such as defining different proportions of men and women, single-person or two-person peers). But these one-way passive statistics still can't solve the problem of how Jessica bought jeans. Figure: Using the smart port that is deployed, it is connected to the sensor's sensing port to record user behavior data, interest focus, and dwell time. It not only solves the problem of how Jessica buys jeans, but also helps Jessica to accurately locate in different stores, navigate to her favorite store, and tell her the most favorite new fragrance. There is a special promotion in the second store just around the corner. So you see, the lamp can not only get the woman's heart, we can hardly imagine that the obscurity lighting system in the past is beginning to show its strong ambitions, and the ubiquitous coverage makes it a giant shoulder that can be made on it. Whatever it is, the opportunity to change the world seems to be at your fingertips. For example, in the parking lot of Nuoda, how can you quickly find your car in the vast ocean of the car, or monitor the status of the parking space at any time? The light on the parking space may be able to help you easily.
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