Purchasing is where most independent retailers either make or lose their margin, and it is frequently the decision made with the least information. Orders get placed from a supplier’s catalogue, guided by what sold last time, what the rep is promoting, and a general sense of what customers are asking for.
That approach works reasonably well for someone who has run the same shop for fifteen years and holds the pattern in their head. It works badly during growth, badly across multiple categories, and badly for anyone who has taken over a business someone else built.
The information needed to do it better already exists in the transaction record. A Retail POS system captures every sale, and the difference between a shop that uses that data and one that does not shows up as capital tied up in slow stock and empty space where the fast lines should be.
The Reports That Actually Change Decisions
Most systems produce far more reports than anyone reads. A small number are worth looking at regularly.
Sell-through rate, meaning the proportion of received stock sold within a period, identifies what moves and what sits. This is more useful than raw sales volume, because a product that sells forty units from an order of forty is performing differently from one that sells forty from an order of two hundred.
Days of stock on hand, calculated from current quantity and recent sales rate, tells you what to reorder and when, and it is the figure that prevents both stockouts and overstock.
Margin by product and by category, which frequently contradicts intuition. The bestselling line is often not the most profitable one, and the category that feels central to the shop’s identity may be subsidizing itself from elsewhere.
Slow-moving stock reports, listing items with no sales in a defined period. Every shop has more of these than expected, and they represent cash sitting on shelves.
Lost sales, where the system records requests for out-of-stock items, which is the hardest data to capture and among the most valuable.
Setting Reorder Points That Work
The mechanism that removes most purchasing guesswork is a reorder point calculated per product rather than a general sense of when things look low.
The calculation is simple: average daily sales multiplied by supplier lead time, plus a safety buffer sized to how variable that product’s demand is.
Lead time is the variable most often estimated badly. A supplier who quotes five days and delivers in twelve produces stockouts that look like a demand forecasting failure and are actually a lead time assumption failure. Tracking actual delivery times against quoted ones is worth doing.
Safety stock should scale with variability rather than with importance. A product that sells steadily needs little buffer. One that sells in unpredictable bursts needs more, and treating them the same either ties up cash or produces gaps.
Seasonal products need reorder points that change through the year, which means either seasonal profiles in the system or a manual review before each season.
Dealing With Seasonality Honestly
Most retailers underestimate how much of their business is seasonal and how far ahead the buying decisions have to be made.
Last year’s sales for the equivalent period are the starting point, adjusted for anything that has changed: a new competitor, a range change, a price shift, or a difference in the calendar.
Buying too early ties up cash and floor space. Buying too late means missing the peak entirely, and in genuinely seasonal categories the peak may be four weeks long.
Exit planning matters as much as entry. Deciding in advance when seasonal stock will be marked down, and by how much, prevents the situation where last year’s seasonal goods occupy space through the following season.
The data to support all of this is in the previous year’s transaction record, and the shops that look at it before buying consistently outperform the ones that rely on memory.
Managing the Supplier Relationship With Numbers
Purchasing decisions involve suppliers as much as products, and supplier performance is measurable.
Fill rate, meaning the proportion of ordered units actually delivered, varies considerably between suppliers and affects your stock position directly.
Delivery accuracy against quoted lead times, tracked over months, tells you which suppliers need larger safety buffers.
Return and credit handling, meaning how easily damaged or unsold goods are resolved, is a real cost that never appears on an invoice.
Minimum order quantities shape everything else, since a supplier with a high minimum forces you to carry more stock than the sales rate justifies, and that cost should be weighed against their price advantage.
Having these figures changes supplier conversations from impressions to specifics, which is a considerably stronger position.
Where the Cash Actually Goes
The purpose of all of this is capital efficiency, which is the constraint most independent retailers actually operate under.
Money tied up in slow stock is money not available for fast stock, and the cost is not just the cash. It is the sales that did not happen because the shelf space and the working capital were occupied.
A stock turn figure, meaning how many times inventory sells through in a year, is the summary measure. Improving it releases cash without increasing sales, which is the cheapest source of funding a small retailer has.
The practical starting point is the slow-moving report. Run it, mark down or return what has not sold in six months, and put the recovered cash into the lines the sell-through report says are working. That single exercise, done twice a year, does more for most independent shops than any purchasing theory.
By
