The digitization of the offline physical world has a long way to go.
In the Internet world, sophisticated operations based on user data analysis already have very mature technology applications and methodologies. At the same time, many professional data service providers have also been born, such as the TalkingData , Shence Data , GrowingIO , Zhuge IO , Sumtech And other companies. Internet industry Complete infrastructure network, the user data is attached to the natural product, compared with the difficulty of collecting data offline is much greater.
Recently contacted the edge intelligent data service provider “Ling Yin Wan Wu”, which is a startup company that hopes to use Face ID + edge intelligent terminals to open up the data of people’s yards for new retail enterprises. Lead all things to hatch from the smart hardware developer Xiao Ant Technology. In 2019, it will formally become a start-up company independently from the business unit inside Xiao Ant Technology.
For a long time, there are many companies large and small who want to be data service providers in the freight yard. Different technical solutions have appeared in the market, such as iBeacon, WiFi probes, etc. Among them, iBeacon’s perception of device location must be based on Bluetooth. The percentage of Bluetooth users who open mobile phones is relatively low (15-30% according to statistics), and the default open rate of WiFi will be higher. Device data is not actually truePositive “person” data, based on face-brush payment + Face ID, is more likely to truly digitize the offline “person” dimension.
Liang Wei introduced that what Liyin is doing can be divided into two parts: Customer identification and face payment .
Let ’s talk about customer identification first. LiYiWan’s customer recognition business is divided into two parts, including customer recognition and behavior recognition based on face recognition. Based on this, LiYiWan also launched a business intelligence SaaS system for customer portrait data operation applications. Leading All Things currently provides five sets of customer behavior analysis and operation tools in its SaaS, including knowing customers, identifying goods, looking at the market, Jingying and smart payment.
Five sets of customer behavior analysis tools
Unlike other manufacturers that use WiFi probes or iBeacon technology, Liyin uses a near-field vision camera with near-edge AI computing power and a near-field vision processing terminal. Liang Wei introduced that one of the significant differences between Liyin and other technology manufacturers is that it has a set of self-developed products from chips, algorithms to hardware. The advantage of resource integration is that it can quickly upgrade and iterate and optimize products. . When ordinary cameras perform visual recognition, all the collected video stream data needs to be transmitted to the cloud, and the cloud calculates a large amount of data before returning the results. The network consumes a lot of data, the processing speed is slow, and the computing power is consumed. The edge AI intelligent camera can perform lightweight processing on the video picture such as face recognition at the terminal. Through the visual recognition terminal, the data that can be collected by Liyinwu includes employee ID identification, employee behavior management, customer flow statistics of shop-to-shop, shop-shop operation and customer portrait data, customer ID identification, and so on.
An example of user behavior data analysis provided by LiYiWu
Liang Wei said that access to anonymous customer and member data based on Face ID is another feature that distinguishes everything from other new retail data service providers. The face recognition data captured by the camera can be connected with the customer payment data through the face payment device, so that the correspondence between the customer ID and the online and offline operations can be truly realized.
CEO Liang Wei has more than 20 years of experience in the consumer industry before joining Liyinwu. He is a senior retail digital transformation expert. He has worked in Suning Technology Group, SAP, Accenture and other companies, and participated in the digital transformation of many retail companies. project. The experience of the company’s core team members in retail big data, IoT, AI and other aspects has also become a part of Liyinwuyi products. Based on the data collected by visual recognition, Liyinwuyi has combined with industry awareness in its SaaS products Analytical operational tools to help companies build data capabilities and grow operational models.
For example, Liang Wei said that for shopping mall customers, what they are most concerned about is the application of accurate customer portraits on the mobile line and the evaluation of the effects of offline activities, which cannot be solved in traditional solutions. Leading all things based on Face ID’s edge smart camera to analyze the flow and thermal analysis of customer flow into the store, can help customers optimize store rents, for example, can increase rents in hot areas, while combining other edge devices such as smart interactive screens and consumers Carry out precise advertising and marketing interaction and guidance, improve the conversion rate of entering brand stores, and provide value-added services for brand stores in shopping malls. For the analysis of the effects of offline marketing activities, attracting all things can help customers improve the venue output rate. Analyze whether the participating consumers are the target group, where the concerns are, resident time, card verification and consumption conversion, and help the shopping mall operation department to continuously optimize the event marketing plan and input-output ratio.
In addition to customer identification, another major business segment that attracts all things is face payment. Starting in 2019, Alipay and WeChat have successively launched the smart terminal products “Flying Dragonfly” and “Frog” for face-to-face payment. Not only that, the two major manufacturers have also launched subsidy programs to allow the face-to-face payment industry to change from software and hardware Pushing sales to the ground has enjoyed development dividends.
LiYinWan is a partner of WeChat’s face payment terminal product “frog”. In addition to the functions of face brush payment, frogs can also be used for advertising display, personalized product recommendation, smart card coupon marketing, and paying attention to princesses for low-cost member drainage. Brush payment products are currently the leading business that attracts all things to target customers, and is also the current source of revenue contribution from all things.
Shopping malls and chain brands are typical customers of Lianyiwu, but Liang Wei said that Lianyiwei is targeted at the pan-retail market, including gas stations, restaurant chains, hospitals, etc. Is the target customer. Up to now, LiYiWan has provided services to about 200 stores, benchmarking customers include Vipshop, MORE MEE, Barabara and so on.
When talking about future planning, Liang Wei said that in 2020, more new products are expected to be launched to help retailers achieve sales growth, and face-to-face payment is expected to lay out 100,000-200,000 devices. Liyinwu currently has a team of more than 50 people and technology accounts for 50%. A new round of financing is currently underway.