Case Study: Kimberly‑Clark Professional achieves a 19% reduction in forecast error with Demand Solutions DSX

Kimberly-Clark Professional Trims its Forecast Error by 19%

Kimberly-Clark Professional, the $3.4 billion B2B division of Kimberly‑Clark, faced significant SKU complexity and manual forecasting pain—its bath tissue and towel SKUs are a small share of items but generate over half the revenue—and needed better integration with its SAP environment. The company had long used Demand Solutions (starting with Forecast Management v.9) and chose to upgrade to the Demand Solutions DSX platform (DSX Forecast Management, later DSX v.3.2) to gain more functionality and streamline demand planning.

Demand Solutions implemented DSX, enabling easier data import/export, global changes, unlimited attributes and enhanced aggregation and reporting; planners can apply massive updates in seconds instead of manual entry. As a result, Kimberly‑Clark Professional cut forecast error by 19% in the first year, reduced the weekly forecast load time by 30 minutes, and eliminated manual data updates (saving about 4 hours per month), while positioning the business to pursue another 8–9% forecast reduction and move toward customer-level, bottom-up forecasts.

Kimberly-Clark Professional

Peter Shoemaker

Supply Chain Strategy and Supply Optimization Manager