Shopify Inventory Management: The 2026 Guide for Growing Brands

Shopify has steadily improved its inventory features over the past few years. As of 2026, the native Shopify admin provides:

Multi-location inventory tracking — assign stock quantities to different warehouses, retail locations, or fulfilment centres. Shopify automatically allocates orders to the nearest location with stock.

Inventory adjustments and transfers — manually adjust stock levels (received stock, damaged goods, corrections) and create transfers between locations. Each adjustment is logged with a reason code.

Low stock alerts — set a threshold per product and receive an email when stock drops below it. Basic but functional.

Inventory reports — the Analytics section includes inventory-specific reports: snapshot of inventory levels, ABC analysis by variant, average inventory sold per day, and sell-through rate.

Shopify Flow automation — trigger workflows based on inventory events, like automatically hiding a product when stock hits zero or notifying a supplier when stock drops below a threshold.

These features work well for the fundamentals. If you have a small catalogue with domestic suppliers and straightforward ordering, you can genuinely run your inventory through Shopify admin alone. The problems emerge when you scale.

Shopify's inventory system was designed for simplicity, and simplicity comes at the cost of depth. Here are the specific gaps that cause problems as you grow:

No purchase order management. Shopify has no way to create, send, or track purchase orders. You can't record what you've ordered from suppliers, match received quantities against expected quantities, or track PO status. With Stocky being retired (August 2026), there's no free Shopify-native solution for this.

No demand forecasting. Shopify shows you what sold in the past but makes no predictions about future demand. There's no seasonal modelling, no trend detection, and no suggested reorder quantities.

No weeks cover or forward-looking metrics. The inventory reports show current levels and historical sell-through, but don't answer the crucial question: "How long will this stock last?" You have to calculate weeks cover manually.

No supplier lead time integration. Shopify doesn't store supplier information at the product level. There's no way to record that Supplier A has a 2-week lead time while Supplier B has a 27-week lead time, and there's no system to factor these differences into reorder timing.

Flat low-stock alerts. The low stock threshold is a single number per product. It doesn't adjust based on sales velocity or lead time. Setting a threshold of "10 units" means something completely different for a SKU selling 50/week versus one selling 1/week.

No dead stock identification. Shopify won't proactively flag products that haven't sold in months. You have to manually analyse inventory reports to find them.

Bailey & Coco's experience illustrates every one of these gaps. With 2,845 SKUs, 152 patterns, and a supply chain that stretches from China to the UK, Shopify's native inventory was wildly insufficient.

Without purchase orders in Shopify, they tracked POs in a separate Google Sheet. This meant stock receiving was a two-system process: update the spreadsheet, then manually adjust quantities in Shopify. Double entry meant double the chance of errors. Their inventory accuracy on a quarterly stocktake was running at 91% — meaning 9% of their stock quantities were wrong at any given time.

Without demand forecasting, their founder made purchasing decisions based on last quarter's sales, a spreadsheet of "bestsellers by gut feel," and whatever the supplier recommended as minimum order quantities. The result was chronic over-ordering of slow patterns and chronic under-ordering of fast ones.

Without weeks cover visibility, they didn't know which of their 2,845 SKUs were 3 weeks from stocking out until someone physically noticed empty shelves. With a 27-week lead time, discovering a stockout issue late meant a 6-month gap in availability for that SKU.

The estimated annual cost of these gaps — combining lost sales from stockouts, carrying cost of dead stock, and labour time spent on manual workarounds — was approximately £65,000. That's not unusual for a brand at Bailey & Coco's scale. It's just usually invisible because no one calculates it.

You don't need to leave Shopify to get proper inventory management. You need to layer the right tools on top of it. Here's how to think about building your inventory stack:

With Stocky shutting down, the Shopify inventory app landscape is consolidating around a few serious players. Here's an honest assessment of each:

Inventory Planner — The most mature option. Excellent demand forecasting with seasonal adjustments. Strong for brands that need sophisticated replenishment algorithms. The downsides are complexity (steep learning curve, interface assumes inventory management expertise) and price (£100-300+/month depending on SKU count). Best for brands with a dedicated inventory manager on staff.

Prediko — The design-forward option. Clean interface, easy to learn, good for DTC brands that want demand planning without the spreadsheet-level complexity of Inventory Planner. Less suited to complex supply chains with multiple suppliers and long lead times. Pricing is comparable to Inventory Planner.

Katana — More of a manufacturing/production tool than pure inventory management. Excellent if you make your own products and need bill of materials tracking. Overkill for brands that simply buy and resell finished goods.

Canopy (in development, accepting waitlist) — Being built specifically to address the Stocky gap with a focus on weeks cover, supplier lead time modelling, and purchase order management. Designed for founders and ops managers rather than inventory specialists. Pricing is planned to be significantly lower than the alternatives, starting from £49/month. The trade-off is that it's not yet available — but for brands that don't need to migrate immediately, it's worth watching.

The right choice depends on your specific situation. If you need a tool today and have budget, Inventory Planner is the safe choice. If you can wait and want something purpose-built for the gaps Shopify leaves, Canopy is being designed exactly for that.

Whatever tool you choose, make sure it gives you visibility into these five metrics at the variant level:

Weeks cover — How long will current stock last? This is your early warning system for stockouts and overstocking.

Sell-through rate — What percentage of your starting inventory sold in a period? Anything below 40% sell-through in a season is a problem.

Reorder point — The stock level at which you need to place a purchase order, factoring in lead time and demand variability.

Days of supply — Similar to weeks cover but useful for faster-moving products where weekly granularity is too coarse.

Inventory accuracy — The percentage match between your system stock and physical stock at the last stocktake. Below 95% accuracy means your entire inventory picture is unreliable.

These five metrics, tracked consistently at the variant level, will prevent the vast majority of inventory problems. Most Shopify merchants operate without any of them. That's not a criticism — it's an opportunity. The brands that implement proper inventory metrics gain a significant competitive advantage in capital efficiency and customer satisfaction.