Case Study: SoftSheen-Carson improves data integration and retail insights with DataAlchemy from Consumer Goods Technology

A Consumer Goods Technology Case Study

Preview of the SoftSheen-Carson Case Study

SoftSheen-Carson - Customer Case Study

SoftSheen-Carson, a division of L'Oréal USA and the world's leading manufacturer of ethnic hair and skin care products, faced a significant data challenge. A large portion of its products are sold through barber shops, salons, and small beauty supply stores, which made collecting consistent and reliable point-of-sale data extremely difficult. This created a major blind spot for nearly half of its business. To gain actionable insights, SoftSheen-Carson turned to its vendor, Consumer Goods Technology, and implemented the DataAlchemy solution from Kenosia.

The DataAlchemy solution enabled SoftSheen-Carson to efficiently consolidate, cleanse, and normalize its disparate data streams from numerous sources. The tool was user-friendly and required minimal IT support, allowing the team to quickly move from processing data to performing analysis. The results were substantial: a key report that once took five days to generate was reduced to a single day. This new analytical capability allowed the company to provide superior insights to retailers, secure category captaincies, increase product distribution, and achieve a steady rise in sales. The success with Consumer Goods Technology's solution was so impactful that it became a model adopted by other divisions within L'Oréal.


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SoftSheen-Carson

Yvette Russell

Assistant Vice President of Business Development


Consumer Goods Technology

182 Case Studies