Quooker heats up fast-growing supply chain with Qlik Sense
New insights with data analytics led to the development of Quooker Flex.
Qlik, a leader in data analytics, today announced that Quooker, an inventor and manufacturer of the boiling water tap, is using Qlik Sense to gain insight and control over its core supply chain processes. Using Qlik, the company can bring together data from all its departments and display that data in one dashboard. This helps Quooker optimise the supply chain, tailor production to demand, reduce failure costs, and identify new sales opportunities. For example, new insights from data led to the development of its new product line, Quooker Flex, the world's first boiling water tap with a pull-out hose. Qlik partner, Pink Elephant, took care of the implementation.
Quooker was conceived in the late 1970s when Henri Peteri was working on the development of instant soup for an international food company. He realised that soup would never be 'instant' without boiling water on tap. From that moment on he was captivated by this idea and started developing a tap that instantly dispenses boiling water. Quooker currently has over 11 000 square meters of company space, where approximately 200 employees work on the development, production and marketing of Quooker products.
As the company grew, new challenges arose, and automation of reporting and analysis was required for HR, procurement, logistics, production, supply chain, quality assurance and sales following Exact software implementation. Quooker chose Qlik because they needed a data analytics platform that could easily and quickly produce data visualisations and analyses to provide associative insights into every aspect of the company. After deployment, Qlik was fully operational within eight working days, and immediately began helping mitigate risks across the company's entire supply chain, resulting in cost savings and increased customer satisfaction.
With the help of Qlik Sense, Quooker can now capture production processes in a realistic data-driven way that is insightful to the entire team. This will make it clear where material shortages will occur, where an additional efficiency layer is possible or how a last-minute order can be added.