{"id":86322,"date":"2026-04-28T07:33:59","date_gmt":"2026-04-28T11:33:59","guid":{"rendered":"https:\/\/www.mytotalretail.com\/?post_type=article&p=86322"},"modified":"2026-04-28T07:33:59","modified_gmt":"2026-04-28T11:33:59","slug":"moving-beyond-reactivity-why-retailers-need-inventory-governance-to-drive-growth","status":"publish","type":"article","link":"https:\/\/www.mytotalretail.com\/article\/moving-beyond-reactivity-why-retailers-need-inventory-governance-to-drive-growth\/","title":{"rendered":"Moving Beyond Reactivity: Why Retailers Need Inventory Governance to Drive Growth"},"content":{"rendered":"

Managing inventory is challenging across all industries, but retailers face the added challenge of scale. While a standard company may need to plan for 100,000 products in a single warehouse, a major retailer needs to manage that same volume across thousands of different store locations. This makes even basic data collection difficult. For example, even small delays or inconsistencies in point-of-sale data or inventory data can create mismatches between sales and decisions, driving supply chain inefficiencies. Industry research has reinforced a key decision-making issue: Retailers struggle to make accurate, coordinated decisions at scale without real-time end-to-end visibility across stores, warehouses and channels, which compounds these inefficiencies.<\/p>\n

This hurdle can create decision-making disconnects between key departments. Merchandisers, who oversee the physical stores, are incentivized by sales ans how appealing a shelf looks. In contrast, supply chain teams manage warehouses and are driven by cost efficiency — focused on minimizing spend while sourcing and moving goods. Because these two groups are laser-focused on different parts of inventory, and with competing metrics, they frequently end up at odds when it comes to decision-making.<\/p>\n

To resolve this conflict and manage the enterprise effectively, retailers need to move beyond traditional supply chain tactics and implement inventory governance that integrates these siloed roles.<\/p>\n

Redefining Inventory Governance vs. Inventory Management <\/strong><\/h2>\n

Unlike inventory management, which operates at the execution level and relies heavily on distinct metrics such as materials requirement planning (MRP) and master production scheduling (MPS), inventory governance sits a level above daily execution. It’s the organizational framework that defines how integrated decisions get made, who owns those decisions, and how different departments interact so that the underlying models can actually work.<\/p>\n

A strong governance framework simplifies complex supply chains by categorizing stock into three fundamental types: active inventory (goods you expect to sell), inactive inventory (slow-moving and obsolete goods, like last season’s sweaters, which require a firm disposition decision), and safety stock (buffers held against uncertainty, much like keeping extra eggs in a refrigerator just in case).<\/p>\n

In manufacturing, managing these categories is straightforward, more like managing a single refrigerator, where everything sits in one place and decisions are contained within a single node. Retail, however, looks very different. It resembles a multilayered system, with inventory flowing from a central source through layers of warehouses and out to thousands of stores. Each layer represents a new decision point, with trade-offs between cost, speed and availability.<\/p>\n

Inventory governance is what successfully guides retailers through this complex system, allowing organizations to collaboratively decide the lowest-cost and most effective places to position their inventory across the entire network.<\/p>\n

Handling Volatility With Documented Assumptions<\/strong><\/h2>\n

During times of volatility, whether driven by changing consumer trends, tariff shifts, or severe weather, retailers cannot rely on standard processes or historical forecasts. Inventory governance instead requires clear, documented assumptions about what the business expects to happen, allowing teams to prepare in advance rather than react in the moment.<\/p>\n

This approach enables retailers to strategically position their buffers against unpredictability. For example, a regional grocery chain recognized that during heavy snowstorms shortages didn’t just occur at the store level, but also at distribution centers. By establishing a governance policy to take a speculative inventory position on staples ahead of the storm, like milk, bread, bottled water, toilet paper, and canned goods, the grocer pre-stocked its network early. Because it secured products before the rest of the industry rushed suppliers, the grocer maintained availability and saw a significant lift in post-storm sales.<\/p>\n

The True Benefit is Predictability<\/strong><\/h2>\n

Ultimately, the true benefit of inventory governance isn’t found in temporary metric bumps like fewer stockouts, but in achieving absolute predictability and reliability. For retailers operating at scale, it’s fundamentally better to be predictable, with fully understood supply chain tradeoffs and documented assumptions, than to be occasionally right by chance.<\/p>\n

Governance sits a level above daily execution mathematics like MRP and MPS, allowing companies to make better, faster decisions using an organizational framework that makes complex algorithms actually work. By adopting this proactive approach, retailers can avoid a chaotic, bloated supply chain.\u00a0 Instead, governance empowers companies to proactively plan vs. firefighting in real time, creating dependable behaviors and processes that navigate volatility and maintain predictable inventory levels for sustainable success.<\/p>\n

Leon Dixon is business advisor at Oliver Wight Americas<\/a>, a global management consulting firm. <\/em><\/p>\n","protected":false},"excerpt":{"rendered":"

Managing inventory is challenging across all industries, but retailers face the added challenge of scale. While a standard company may need to plan for 100,000 products in a single warehouse, a major retailer needs to manage that same volume across thousands of different store locations. This makes even basic data collection difficult. 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