Case Study: JYSK achieves faster data-driven decisions with KNIME

How JYSK optimized product sales with KNIME for predictive analytics

JYSK, the international home furnishing retailer, wanted to become more data-driven across its 3,100+ stores and webshops in 50 countries. The company needed better ways to support predictive decision-making for promotions, inventory, and locally optimized product mixes, rather than relying on manual Excel-based analysis.

KNIME helped JYSK build an Advanced Analytics capability using KNIME as a core analytics platform alongside tools like SAP HANA, R, Python, and QGIS. JYSK used KNIME to create predictive models for product demand by geography, optimize new store locations, analyze discount impact, and schedule workflows, saving hundreds of hours per month and turning work that once took hours into seconds.

JYSK