Offline stores have a large flow of customers and lack basic data on customers' purchase intentions.
Aiming at store passenger flow statistics, customer classification analysis, purchase intention prediction, suspicious person tracking, etc., formulate targeted marketing strategies to improve customer experience and provide visual business operation intelligent solutions.
The management system is prepared, operated and managed by the user, and the user independently grasps the data information.
Provide a variety of advanced algorithms, covering different computing power systems. For specific scenes, users can use semi-automatic annotation tools to optimize the algorithm.
On the premise of fully protecting users' data privacy, accurate analysis and identification, rapid response, and timely submission of results.
Low code no code (lcnc) platform, reduce AI development steps, software and hardware forms, multi scenario applications, and match the most cost-effective scheme according to requirements.
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