How Driscoll's Is Tilling a Demand-Driven Supply Chain

Executive Summary

Traditional supply chains in the food and agriculture sector often rely on forecast-driven models that struggle to keep pace with demand variability, product perishability, and supply uncertainty. These limitations can result in excess waste, service inconsistencies, and reduced responsiveness to market signals. For organizations operating in highly time-sensitive categories, transitioning to a demand-driven supply chain model is increasingly critical. 

This paper explores how Driscoll's is transforming its supply chain to become more demand-driven. It outlines the challenges associated with aligning supply planning to real-time demand signals, particularly in a global, perishable goods network. The paper highlights how traditional planning processes, often siloed and forecast-reliant, can limit visibility and hinder effective decision-making across the supply chain. 

For procurement and supply chain leaders, the implications are clear. A demand-driven approach improves the ability to synchronize supply with actual consumption patterns, reducing waste while enhancing service levels. The paper explains the process changes required to support this shift, including improved demand sensing, closer cross-functional alignment, and more responsive planning and execution capabilities. 

It also emphasizes the importance of data integration, collaboration across stakeholders, and continuous adjustment of supply decisions based on real-time insights. These changes enable organizations to better manage volatility and improve overall supply chain performance. 

By examining a real-world transformation, this paper provides a practical perspective on how to move from forecast-driven to demand-driven supply chain models, helping leaders improve agility, efficiency, and alignment with market demand. 

Read the paper now.