Practical articles on demand forecasting, SKU-level allocation, safety stock, sell-through analysis, and inventory planning decisions for brands managing 50–500 active SKUs across DTC and wholesale.
Most brands carry 15–30% more inventory than they need because they forecast total revenue and divide down to SKUs. The math looks tidy on a spreadsheet. It fails on the shelf. Here's the bottom-up framework that actually reduces overstock without creating new stockout risk.
Read articleFrom DC safety buffers to store-to-store rebalancing: a step-by-step allocation framework for brands managing inventory across DTC, physical retail, and Faire wholesale simultaneously.
How to identify which SKUs to kill, which to accelerate, and which to let run out at full margin. The sell-through, velocity, and margin signals that make the decision defensible.
When a Faire PO arrives the same week your DTC velocity spikes and you only have 80 units, how do you decide where the stock goes? A framework for the stock split decision that doesn't require gut instinct to justify.
The case for replacing static reorder points with dynamic safety stock, and how to make the transition without chaos.
The math behind safety stock formulas — min-max, Z-score, and demand variability methods — explained without assuming you have a data science background. When to use each and what breaks down at higher SKU counts.
What 65% sell-through means in apparel — whether it signals healthy open-to-buy discipline or structural inventory imbalance. Benchmarks by category, timing, and channel.
Flash sale isn't the only answer. Seven ways to move slow inventory without training customers to wait for markdowns.
How to segment your catalog by revenue contribution (ABC) and demand predictability (XYZ) — and why the XYZ axis determines your safety stock strategy more than any other single variable.
Why Thursday morning is the single most consequential window in your DC-to-store allocation calendar — and what it costs when that decision gets pushed to Friday afternoon after the truck has already left.
The practical checklist for Q4 and holiday inventory planning — how to build a forecast that accounts for early-season demand signals.
How to set opening order quantities when you have no sales history for a new SKU — using analog product comparisons, channel velocity benchmarks, and structured assumptions that you can defend to a buyer.
