Kärcher – global provider of cleaning technology. The family-owned company Kärcher is today the world's leading provider of efficient, resource-conserving cleaning systems. Kärcher makes a difference through top performance, innovation and quality. Kärcher is constantly striving to achieve the best solution to every cleaning task. This is why we develop powerful systems made up of perfectly matched cleaning machines, accessories and cleaning agents. In order to best meet the needs and preferences of our customers, we are in constant discussion with both private and professional operators. The insights that we gain from this have a direct influence on the development of new products. This means that we can ensure that each new innovation not only meets the requirements of increasingly complex cleaning tasks, but that it makes work as easy and straightforward as possible for operators.02
Kärcher needed a platform that could interpret and host their customer demographics and perform sentiment analysis and reporting to better understand customer demographics, traffic flow and general customer sentiments. The platform would help Kächer optimize staffing and increase KPI performance resulting in better business.03
Kärcher has been using Hampen Technology’s Customer Analysis System (Company Website: http://hampentech.com/) for demographics and sentiment/traffic flow analysis. By utilizing Alibaba Cloud ECS, the stability and speed of Alibaba Cloud have been key ingredients for their demographics and sentiment analysis cloud based analytic platform deployment. By leveraging ECS, the Kärcher data analytic team can experience first-hand the fast response time of Hampen's web-based CMS portal and also the convenience of being able to access the data, extract statistical reports anywhere they go with a PC, tablet or mobile phone.04
Why Alibaba Cloud
Alibaba Cloud has provided a reliable and efficient platform for Kärcher’s video analytics platform. They have used the cloud-based system to successfully optimize staff allocation and also predict customer traffic trends and manage product demand accordingly.