As the Client grew its portfolio and expanded distribution, operational complexity increased across brewing, packaging, cold room operations, and logistics. One brewery managed more than 30 SKUs while another managed more than 20 SKUs, resulting in additional changeovers, shorter production runs, increased scheduling complexity, and greater variability throughout the supply chain. Although customer service remained strong, leadership lacked a clear understanding of the true operational and financial costs associated with maintaining such a broad portfolio.
First Key conducted a structured business model analysis to evaluate the impact of reducing SKU complexity by up to 20% while maintaining production volumes, freshness standards, and customer service levels. The team analyzed brewing, packaging, cold room operations, and national distribution activities to quantify how SKU rationalization would affect changeover frequency, packaging productivity, fermentation variability, cellar yields, and total operating costs. By translating operational complexity into financial terms, First Key provided leadership with objective data to evaluate portfolio decisions based on both business and operational impact.
The resulting analysis provided a fact-based roadmap for portfolio optimization, allowing the Client to balance product variety with operational efficiency while preserving service levels, freshness standards, and brand equity.
• Identified cost reduction opportunities of approximately $1.30 per barrel at one brewery and $1.45 per barrel at a second brewery through portfolio simplification.
• Quantified approximately $645,000 in annual brewing savings linked to a 2% improvement in cellar yield resulting from reduced residence-time variability.
• Identified approximately $195,000 in annual packaging savings through reduced changeovers and a 2% improvement in packaging line efficiency.
• Demonstrated that the lowest-volume 20% of SKUs accounted for only 1% of cold room volume, helping focus rationalization efforts where operational savings could be achieved with minimal customer impact.
• Provided a data-driven basis for portfolio decisions that balanced operational efficiency, brand complexity, and long-term growth objectives.
