Case Study: Rocky Brands achieves faster, signal-driven demand planning with Board

Rocky Brands cuts data preparation time by 80–90% with Board

Rocky Brands, a multi-brand footwear company, faced significant planning risk due to SKU complexity, long overseas lead times, and volatile consumer demand. Their manual, monthly forecasting cycles could not keep pace, leading to deteriorating accuracy and increased inventory exposure. To address this, they partnered with Board to implement its Foresight and Signals solution for AI-driven demand planning.

By implementing Board, Rocky Brands automated data ingestion and integrated external macroeconomic indicators for continuous, signal-driven planning. This reduced their data preparation time by 80-90%, enabling faster re-forecasting and improved SKU-level visibility. The solution provided a scalable foundation for integrated business planning, resulting in lower inventory risk, improved service levels, and more confident supply commitments.

Rocky Brands