Your best seller is out of stock and your worst seller has 200 units sitting in a warehouse
Niblin tracks product performance, sell-through velocity, and inventory risk across your entire catalog. When a SKU starts trending, you know before it stocks out. When dead inventory piles up, you catch it before it eats your cash flow.
Product Performance
See which products are actually making you money — not just selling
Revenue per SKU is a vanity metric if you don't know the margin. Niblin ranks products by revenue contribution, sell-through rate, and return rate so you can tell the difference between a "best seller" that's generating profit and one that's generating returns.
- SKU-level revenue, units sold, and sell-through rate — updated daily
- Return rate by product so you stop promoting items with 25% return rates
- Revenue contribution percentage: see which products drive 80% of your top line
- Variant-level performance: does the blue version outsell the red by 3x? Now you know.
Inventory Intelligence
Days of inventory remaining, per SKU, without a spreadsheet
The cost of a stockout is invisible on your P&L but devastating to your revenue. Niblin calculates days-of-inventory for every SKU based on current sell-through velocity, flags stockout risks before they happen, and identifies dead stock before it becomes a warehouse bill.
- Days-of-inventory remaining for every SKU based on rolling sell-through velocity
- Stockout risk flags: 7-day, 14-day, and 30-day warning thresholds
- Dead stock identification: products with 60+ days of inventory and declining sales velocity
- Reorder point suggestions based on lead time and current sell-through — not gut feel
Basket Analysis
Which products sell together — and which ones you should be bundling
Customers who buy your protein powder also buy the shaker bottle 40% of the time. But you're not cross-selling it. Niblin surfaces product affinity patterns from your actual order data so you can build bundles and cross-sells that are backed by behavior, not assumptions.
- Product co-purchase analysis from real order data — not survey guesses
- Affinity scores between product pairs with purchase frequency and average basket size
- Bundle opportunity identification: high-affinity products that aren't currently bundled or cross-sold
- Average items per order trends — see if your cross-sell efforts are actually working
Your catalog has stories to tell. Start reading them.
Connect Shopify in 15 minutes. Tomorrow, you'll know which products are winning, which are dying, and which are about to stock out.