Most small retailers reorder sunglasses using a gut feeling, a glance at the shelf, and whatever the supplier has available. That process works until it doesn't, and when it fails it tends to fail in both directions at once, i.e. bestsellers out of stock and slow-movers taking up space. Using the data most retailers already have access to changes both outcomes without requiring you to invest in new software or complicated systems.

Start With Sell-Through Rate, Which Most Retailers Already Have

Sell-through rate is units sold divided by units received, expressed as a percentage, over a defined period of time. A style that arrived as a dozen and sold 10 pairs in 30 days has an 83 percent sell-through rate. A style that moved 3 pairs in the same window has a 25 percent rate. Running this calculation across every style in your inventory takes less than an hour with sales records. It tells you clearly which styles deserve reorders, and which need a different plan. For styles sitting at the low end of that range, our guide to building a wholesale sunglasses bundle strategy that moves inventory fast covers the most practical options for clearing them without deep discounting.

Transaction-level POS data shows patterns that total unit counts can obscure. A style selling steadily across the week is a reliable candidate for reorder candidate, while a style that moved just 8 units in one weekend and nothing since may have benefited from a display change, a promotion, or a single influential customer. Comparing day-of-week and time-of-day patterns across styles helps distinguish consistent performers from situational spikes, which directly affects the confidence level on a reorder decision and the quantity worth committing to.

Seasonal Velocity: Reading Last Year's Data Before Placing This Year's Order

Retailers who have been stocking sunglasses for one full year have seasonal velocity data worth mining. Pulling sell-through rates by style category for the same 8-week window in the prior year gives a baseline for what is likely to accelerate, hold steady, or slow in the coming season. Polarized sunglasses and sport styles tend to spike earlier in spring than fashion-forward styles, while kids sunglasses spike sharply before school breaks. Ordering to those patterns rather than flat quantities across the board prevents both stockouts and overbuying. For a broader view of how seasonal demand maps to specific styles and colors, our wholesale sunglasses vendor guide to seasonal trends pairs well with this kind of historical data review.

Setting a Reorder Threshold So Decisions Happen Before Stock Runs Out

A reorder threshold is the inventory level at which you place a new order, set high enough to account for supplier lead time and anticipated demand before the next shipment arrives. Building this threshold into a simple tracking sheet, updated weekly, removes the reactive scramble that tends to result in stock-outs on your highest-margin styles. 

Customer Feedback as a Qualitative Layer on Top of the Numbers

Sales data shows what sold, but it won’t explain why something didn't. Customer comments at the point of sale, return reasons, and staff observations can fill in that gap. A style with a low sell-through rate but consistent customer handling, meaning it’s often picked up, tried on, and put back, is underperforming for a different reason than one that is never touched. That distinction changes how you need to respond: a pricing or display adjustment in one case, a permanent drop from the assortment in the other.

Reordering With Data Takes the Same Amount of Time as Reordering by Instinct

When you start reordering inventory with data, the difference you’ll see right away is in the outcomes: fewer stockouts, less dead inventory, and more consistent margins. Still Friday's catalog of wholesale sunglasses supports this approach well, with consistent stock availability and fast turnaround that lets retailers set reorder thresholds with confidence that the next order will arrive before the shelf runs dry.