Strategy and Solutions
The client is an $8B consumer packaged goods (CPG) enterprise managing a diverse portfolio of 15,000+ SKUs across multiple regions and retail channels. Persistent forecast inaccuracies and fragmented planning processes impacted inventory efficiency and service levels. The organization required a modern, data-driven demand planning and S&OP solution. To enable this transformation, the company partnered with Zymr.
The company faced significant demand planning challenges, with forecast errors reaching up to 22% across its SKU portfolio. Disconnected data sources, including retailer POS systems and internal planning tools, resulted in limited visibility and inaccurate demand signals.Manual planning processes and lack of real-time insights led to overstocking in some regions and stockouts in others, directly impacting revenue and customer satisfaction.The absence of an integrated S&OP framework made it difficult to align demand, supply, and financial planning. Additionally, existing systems lacked the scalability and intelligence required to handle high data volumes and dynamic market conditions.The organization needed an advanced demand planning solution that could improve forecast accuracy, optimize inventory, and enable proactive decision-making.
Zymr enabled the client to modernize its demand planning and S&OP processes through an AI-driven, integrated platform. This transformation improved forecast accuracy, reduced excess inventory, and enhanced overall service performance.
Zymr implemented an intelligent demand planning and S&OP solution tailored to the client’s complex supply chain ecosystem.
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