The Return of Just-in-Time: What Retail’s Comeback Means for Inventory Management and Forecasting

 The Return of Just-in-Time: What Retail’s Comeback Means for Inventory Management and Forecasting

In recent years, the COVID-19 pandemic disrupted global supply chains and forced retailers to rethink how they manage inventory. Many shifted to stockpiling goods to avoid delays, but now, they’re going back to basics. According to a recent Wall Street Journal article, retailers are returning to the just-in-time (JIT) inventory model, a strategy that depends heavily on accurate forecasting and efficient supply chain coordination (Young, 2024).

This shift marks a renewed emphasis on inventory management practices, many of which are grounded in concepts taught in business operations courses. Methods like Economic Order Quantity (EOQ) and moving average forecasting are once again at the forefront of decision-making, as businesses seek to lower costs while staying responsive to consumer demand.


The JIT strategy aims to reduce inventory holding costs by ordering goods only when they’re needed. While this method can be risky in times of disruption, it’s highly efficient under stable conditions. Retailers like Walmart and Target initially moved away from JIT during the pandemic, building up safety stock to protect against shortages. However, excess inventory led to markdowns, lost profits, and operational inefficiencies. Now, with supply chains improving and consumer demand leveling out, these same retailers are working to restore balance, ordering smarter, not more. “Retailers including Dick’s Sporting Goods and Five Below said they are returning to leaner inventory levels,” reports the Wall Street Journal, signaling a strategic pivot back to JIT (Young, 2024).


At the heart of this shift is the need to optimize ordering practices. The EOQ model helps managers decide how much inventory to order by balancing the costs of ordering too frequently with the costs of holding too much. While the math behind EOQ may vary from business to business, the principle is clear: order just enough, just in time.


But forecasting demand accurately is what makes all this work. Without a reliable view of future sales, businesses risk stocking out or tying up cash in unsold goods. Simple tools like moving averages allow businesses to identify patterns in customer behavior and plan. Many companies are now taking this further, using real-time data and predictive analytics to respond quickly to shifts in the market. As the Wall Street Journal highlights, companies are using these tools to get back to leaner, faster, and smarter operations (Young, 2024).


The move back to JIT isn’t just about saving money, it’s about agility. For students and professionals studying operations management, this moment offers a real-world example of how theory meets practice. Foundational concepts like EOQ and demand forecasting are essential not just for exams, but for guiding high-stakes decisions in the retail world.


As supply chains settle and consumer habits stabilize, retailers are showing us that lean doesn’t mean risky, it means smart. And in today’s competitive environment, smart is everything.


Reference

Young, L. (2024, January 24). Retailers return to bringing in inventory just in time. Wall Street Journal. https://www.wsj.com/articles/retailers-return-to-bringing-in-inventory-just-in-time-4613e3ee

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