Maximizing Store Profitability for a Leading Luxury Goods Retailer

Our customer is a leading luxury goods retailer that leases spaces in its stores to leading global consumer brands. They wanted to understand profitability for each space within their store so that they could decide what brands to prioritize in placements. We offered them a solution that integrated their data from multiple data sources with IBM Datastage and created a customized sequence of execution for brand placement based on their specific business rules. The customer now has a precise view of profitability for each of its spaces and saves an average of 5,400 person hours per year of data integration and analysis efforts.

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