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对话爱玛:如何给2000多家经销商“建壁垒”
AIMA TECHNOLOGY GROUP CO.AIMA TECHNOLOGY GROUP CO.(SH:603529) 虎嗅APP·2025-03-27 10:21

Core Viewpoint - The two-wheeled electric vehicle industry has shifted from scale expansion to efficiency competition, prompting companies like Aima to focus on digital transformation to enhance operational efficiency and decision-making processes [3][4]. Digital Transformation Journey - Aima began its digital transformation in 2012 with the establishment of an ERP system, followed by the "361 Digitalization Project" in 2019, and is now exploring AI integration for business operations [3][6]. - The company faced challenges such as data silos and slow decision-making, which it aims to overcome through comprehensive digital strategies [3][4]. Financial and Business Integration - Aima prioritized financial and business integration to enhance operational efficiency, transitioning from a control-focused finance department to a service-oriented model that collaborates closely with business units [6][8]. - The integration allows for real-time business analysis, improving decision-making speed and accuracy, with sales forecasts achieving over 80% accuracy [4][8]. Dealer Relationship Transformation - Aima is shifting from a competitive dealer relationship model to a collaborative one, focusing on empowering dealers through data-driven insights and operational support [12][13]. - The company has implemented predictive models to help dealers optimize inventory and sales strategies based on local market conditions [13][14]. New Retail Strategy - Aima's new retail strategy integrates online and offline channels, enhancing customer engagement and streamlining the purchasing process [15][16]. - The company leverages data to inform product offerings and marketing strategies, ensuring alignment with consumer preferences [15][16]. AI and Future Directions - Aima views AI as a critical component of its digital transformation, emphasizing the need for a solid data foundation to effectively implement AI solutions [16][17]. - The company aims to utilize proprietary data to develop tailored AI models that address specific operational challenges [17][19]. Recommendations for Digital Transformation - Companies are encouraged to maintain strategic focus, learn from industry benchmarks, and identify quick-win scenarios to facilitate successful digital transformation [19][20].