Success Case | Customer Online Life-Cycle Modeling and Recommendation Engine
Leading Spanish Fashion Retailer
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The Challenge
With several brands and e-commerce platforms, our client wanted to obtain an holistic and unified view of customers and sales in all brands. Using this information, the client wanted to increase online sales by targeting every customer with a personalized recommendation.
The Solution
Keepler deployed a Big Data platform uploading customer interaction data (Google Analytics) and sales identifying customer using cookies, loyalty card, etc, and associating the customer with sales from the ERP backoffice platform. Even brick&mortar sales data were used to further personalize the recommendations.
The Result
Keepler is a full-stack analytics services company specialized in the design, construction, deployment and operation of advanced public cloud analytics custom-made solutions. We bring to the market the Data Product concept, which is a fully automated, public cloud services-based, tailored software that adds advanced analytics, data engineering, massive data processing, and monitoring features. In addition, we help our customers transition to using public cloud services securely and improve data governance to make the organization more data-centric.
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