Using POS sales data to plan your orders

What if your next order were based on what actually sold, not what the shelf looks like? Using POS data for ordering means pulling sales reports from your register system and using them to decide what and how much to buy. It replaces guesswork with real numbers, cuts down on both empty shelves and overstock, and makes ordering faster once you have a routine.

Your POS already records every sale. The work is in reading it.

Which reports are most useful?

A few reports do most of the work.

Sales by item. Units sold for each product over a period. This is your core ordering report.

Sales by category. Shows which departments are growing or slowing.

Sales by day of week. Tells you which days are busiest, so you can plan deliveries and stock levels.

Top sellers. Your best items by units or dollars. These deserve the most attention.

Slow sellers. Items with few or no sales. Candidates for cutting or clearing.

Inventory on hand, if your POS tracks it. Compare with sales to see how many days of stock you have.

If you use NRS POS, ask what reports it offers and how to export them. Learn more at NRS POS.

How do you turn a report into an order? A worked example

Here's a hypothetical for a bag of chips.

Your sales-by-item report shows these weekly sales over the last four weeks: 36, 40, 34, 42. Total: 152. Average: 38 per week.

You order weekly, and delivery takes three days, so each order needs to cover about a week of sales.

You want a small buffer for busy weekends. Say 8 bags.

Target stock after delivery = 38 + 8 = 46 bags.

You count 14 bags on hand when you place the order. You'll sell some during the three-day wait. Figure about 16 bags (38 per week ÷ 7 × 3).

Expected on hand when delivery arrives = 14 − 16. That's below zero, so you may run out before the truck comes. That tells you to order sooner next time, or increase your buffer.

Order quantity = 46 − 0 (expected on hand, rounded up from negative) = 46 bags. If chips come in cases of 12, order 4 cases (48 bags).

The example also shows why looking ahead matters. The report caught a likely stockout before it happened.

How do you adjust for seasons and promotions?

Averages can mislead when things change.

Seasons. Cold drinks, ice, and sunscreen rise in summer. Hot drinks, soup, and gloves rise in winter. Compare with the same period last year, if you have the data.

Promotions. If a supplier is running a deal or you're featuring an item on an endcap, expect higher sales. Order more ahead of the promotion and watch the first few days closely.

Holidays and local events. A holiday weekend, a street fair, or a big game can spike certain items.

Weather. A heat wave or snowstorm changes what sells almost overnight.

A simple habit: write a short note next to each weekly order about anything unusual. Over time, those notes help you plan.

What mistakes should you avoid?

Ordering from averages that include stockout weeks. If you ran out for three days, sales look lower than real demand. Adjust up.

Ignoring slow sellers. The report shows them. Use it to trim variety.

Forgetting supplies. Receipt paper, bags, and cleaning items don't show in sales reports. Track them separately. Browse the paper rolls category and store supplies category on NRS Marketplace when restocking.

Trusting inventory counts that haven't been checked. If your POS thinks you have 20 and you have 8, the order will be wrong. Regular cycle counts keep records honest.

For general background on inventory planning, Wikipedia's page on inventory management is a useful overview.