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How EY can help
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Our EY Demand Forecasting & Inventory Optimization can help your business by applying predictive data analytics.
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The ripple effects of costly overstock and out-of-stock inventory scenarios can be significant, often impacting nearly every function across a retail business. But even amid today’s margin pressures, evolving consumer demands and increasingly complex supply chains, many retailers continue to bring a siloed, business-as-usual mindset to their merchandising and inventory planning functions.
From product selection, to assortment, distribution, storage and eventual placement, managing inventory in a disparate manner drives billions in excess inventory and related costs across the retail value chain each year, with products often ending up in the wrong place at the wrong time. This approach makes it difficult for retailers to establish unified key performance indicators (KPIs) and milestones that can unlock efficiency, mitigate risk and drive overall performance. It also presents challenges when companies need to leverage flexibility and liquidity in addressing fast-moving inventory that performs well. Moreover, inventory mismanagement often leads to a fragmented customer experience that erodes brand loyalty.
On top of that, additional inventory-related operating challenges include inefficient product mixes, lack of operational consistency across regions, ineffective store layouts and pricing structures, lack of customer segmentation and high-quality data sets, and reliance on outdated technologies. These pain points share the same root cause: a preventable but all-too-common lack of precision and rigor around inventory management.