Currently, due to national restrictions on the exit of personal privacy data, major auto companies urgently need to store customer data in local servers. Besides, traditional systems like SAP have complex operation and poor interactivity, which cannot meet the current business requirements of new media data collection, clue classification and insight generation. Clues collected from different channels cannot be effectively classified and managed, resulting in a lack of customer insight, resulting in inactive customer data and a low conversion rate of clues. At present, there are too many systems owned by automobile enterprises, and more than 30 internal and external systems need to be integrated to promote the improvement of business efficiency, including owner management, dealer management, sales management, maintenance, vehicle management, etc., which need to be managed from a unified perspective. Through the accumulation of Shenlin in the automobile industry, it can help traditional automobile enterprises realize digital marketing transformation faster, and better obtain better brand promotion and effect transformation in new media channels.

Through the Shenlin marketing platform to get through the front and back end of the consumption contact, to achieve the whole channel customers, three-dimensional contact management; Optimize the whole link marketing from customer entry to departure; To meet the demand of consumers in real time and cover all areas. With the help of relevant tools, customers and shopping guides can achieve one-to-one exclusive connection, precise marketing, and performance improvement; Seamless online and offline coordination, flat, digital and efficient management. Full-channel digital private domain customer asset precipitation; Digital management of members, sales, user portraits and passenger flow is carried out through big data capabilities to guide terminal businesses and comprehensively improve operation efficiency.

For game applications, it collects user behavior data, tracks consumption records, and levels of difficulty. It provides four advanced analysis models of event analysis, retention analysis, transformation analysis, and user life value analysis, and multidimensional correlation analysis to meet the analysis needs of different roles and different scenes. It can quickly distinguish users with different characteristics in the game, and avoid potential loss of players by tracking their game behaviors and observing their viscosity to the game. It can monitor the data of the whole process of operation activities through A/B testing, pay attention to the indicators of players during the activity, and provide data support for subsequent operation activities. Comprehensively optimized the process of creating advertisements, supported unified management of materials and batch creation of advertisements, greatly improved the efficiency of advertising creation, and cooperated deeply with mainstream media to ensure efficient, accurate and safe advertising release data.

Different from other industries, the financial industry is strictly regulated, while the premise to achieve profitability is to do a good job in risk control. Shenlin Financial solutions take ARTIFICIAL intelligence as the core, and organically integrate data mining, machine learning and other core technologies with financial business processes to build an AI-level intelligent marketing brain. Through the digitalization and intelligent transformation of the whole process, it helps the banking staff to easily realize one-stop automatic closed-loop marketing such as planning, execution, evaluation and optimization of marketing activities.

以创新的营销技术、领先的行业Know-how重塑传统IT平台的架构、数据的价值及服务渠道的体验，为银行、保险、证券、互联网金融等客户提供一站式营销云解决方案，助力金融企业专注客户拓展和业务创新，以营销数字化为入口实现数字化转型。申麟营销平台引入了微服务的架构思想，以“目标-数据-模型”的思路，按照自动化建模的理念，极大地简化了模型上下线的审核流程，降低了系统操作的复杂度，提升了系统的可拓展性。