Dive into retail trends, fresh takes on inventory management, and what’s happening across the industry.
Most teams still talk about omnichannel like it’s one clean pool of inventory. It’s not. Inventory gets pulled in different directions all day.
Seasonal planning looks clean—on paper. You build the buy, define size curves, push allocations, and expect the season to play out in a reasonably predictable way. It doesn’t. Demand ignores the calendar. A promotion lands harder than expected. Weather shifts. One region takes off while another stalls. Suddenly size M is gone in three weeks, and XXL is collecting dust in the back room.
Most retailers don’t have a data problem. They have an access problem. The data exists—ERP, POS, WMS, planning tools. But try answering something simple: which SKUs are under 2 weeks of supply, with declining sell-through, in top-tier stores?
Most teams already know where things are breaking. Slow movers show up. Size breaks happen. Stores run out of core sizes while the DC is still full. None of that is hidden. The problem is timing.
GMROI gets treated like a scorecard for “good” or “bad” inventory decisions. That’s not what it is. It’s a productivity metric—nothing more. It tells you how hard your inventory dollars worked after the fact.
Range planning is where things stop being theoretical. This is where decisions start tying up cash. It defines what actually lands in inventory. Not just styles, but sizes, colors, quantities—and where all of it sits across stores and channels.
Most teams still treat forecasting like a math exercise. It’s not. It’s a capital decision, whether you frame it that way or not. At a basic level, forecasting answers three things: how much to buy, where it goes, and when it moves. Miss any of those and the impact shows up fast—cash tied up in the wrong sizes, stockouts in core SKUs, late allocations trying to catch up.
Walk a store or open a weekly report and the pattern shows up fast. Core SKUs stocked out in M and L. XS and XXL sitting. A few styles aging out, tying up cash. Then the scramble—expedite, reallocate, discount. That’s not really a forecasting issue. It’s a decision issue.
Most teams still treat stockouts as the moment the sale is lost. Shelf’s empty, customer walks, revenue gone. But that’s just where it shows up—not where it starts. The sale was already gone weeks earlier. When allocation missed. When size curves were guessed instead of read. When replenishment lagged behind what stores were actually telling you.
Most teams still frame merchandise planning as a forecasting problem. It’s not. Not in fashion. You’re not chasing precision. You’re deciding where you can afford to be wrong. Product lifecycles are short. A dress might matter for eight weeks. A denim trend might hit—or disappear halfway through the season. Historical data is thin, sometimes misleading. External signals move faster than your planning cycle. Weather shifts. Trends spike or stall.
Most teams still frame inventory as an accuracy issue—cycle counts, shrinkage, system sync. That’s not where the real damage comes from. The issue is imbalance. Stockouts and overstock aren’t separate problems. They’re the same mistake playing out in different ways. You bought the wrong quantity, placed it poorly, or reacted too late. Often all three.
Most retailers still treat the process like it’s linear. Plan, then buy, then allocate, then sell. It looks clean on paper. In practice, it rarely is. You can follow that sequence exactly and still end up with broken size runs, stores stuck with dead stock, and bestsellers gone by week three. That’s not a process issue. It’s a decision alignment problem.
Most forecasts don’t fail because the math is wrong. They fail because demand doesn’t behave. You’re not modeling a clean signal. You’re dealing with something that shifts constantly. Promotions hit unevenly. Weather pulls demand forward or pushes it out. A late influencer post can wipe out a size run in two days. Even payday cycles can skew weekly patterns more than most models expect.
In retail, inventory levels don’t drift—they swing. One quarter it’s stockouts. The next, you’re buried in excess. The cycle repeats. And for many retail brands, this pendulum has been especially brutal in recent years.
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