IBM Case Studies La Perla Global Management S.r.l. Game-changing solution strengthens precision
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La Perla Global Management S.r.l. Game-changing solution strengthens precision

IBM
Analytics & Modeling - Predictive Analytics
Apparel
Logistics & Transportation
Sales & Marketing
Supply Chain Visibility
System Integration
La Perla Global Management S.r.l., a leading player in the luxury lingerie marketplace, designs and produces hundreds of products. Optimizing, synchronizing, and reconciling its logistics and shipping operations was a daunting task. Every day, La Perla plans more than 60,000 items and 500,000 customer orders or forecast sales plans. To gain more control of planning and shipping and to meet customer requirements, the company sought an advanced solution with technology powered by the precision of mathematics.
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Founded in 1954 and based in Bologna, Italy, La Perla Global Management S.r.l. is a designer and manufacturer of women’s and men’s luxury underwear and nightwear apparel. In addition to its world-renowned briefs, bodysuits, tops and garter belts, the company offers bikinis, swimwear, nightgowns, pajamas and robes. It sells its products through 150 internationally-located boutiques and other department stores, online and through a worldwide distribution network.
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La Perla’s solution features a shipping optimization system (SOS) module that works with the embedded mathematical optimization constraints engine to improve shipping operations. In this way, the system automatically suggests not only the most suitable mix of products to be shipped, but also when to ship and who to ship to. The solution components include IBM ILOG CPLEX CP Optimizer, IBM ILOG CPLEX Optimizer, IBM DB2 for i, and GPS 64b (Global Planning System) provided by IBM Business Partner MBM Italia S.r.l.
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The solution significantly increased the number of shipped orders following all the requirements stated by La Perla’s customers.
It automatically generates shipment proposals that reduce time and labor costs.
The solution also indirectly improved the efficiency of the logistics process with automation and more accurate information.
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