Benefit case study: Logility cuts forecasting errors by 50% for a manufacturer

A global textile manufacturer turned to Logility when rapid growth and rising supply chain complexity pushed its spreadsheet- and Access-based planning processes past their limits. By implementing a constrained, data-driven planning platform, the company replaced fragmented data sources with a single, scalable system that could model capacity, material availability, and multi-stage production requirements. Forecast accuracy improved by more than 50 percent in the first year, service levels rose from roughly 95 to 96 percent without additional inventory investment, and planners shifted from generating unconstrained schedules to producing feasible plans that manufacturing could execute consistently. The success of the deployment was driven by a business-led implementation approach, strong engagement from Logility, and the team’s effort to validate new outputs through parallel runs. Together, these changes increased operational reliability, enhanced working-capital efficiency, and positioned the organization with a modern planning foundation capable of supporting future growth.