Case Study

Recommendation Engine for E-Commerce Marketing Campaigns

Recommendation Engine for E-Commerce Marketing Campaigns

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KNIME AG helped Würth Srl enhance its e-commerce business by developing an automated, personalized marketing campaign system. Leveraging KNIME's platform and a collaborative filtering algorithm, Würth analyzed user behavior and preferences from the online shop and other data sources to generate relevant content for newsletters. This solution automated data ingestion, model generation, and campaign scheduling through KNIME Server Scheduler and WebPortal dashboards, resulting in more effective, efficient, and timely personalized offers that boosted customer engagement and online purchases.

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