Editorial · November 4, 2026
Holiday Demand Forecasting: A Simple Plan for Inventory
Holiday demand forecasting means guessing how much you will sell in peak weeks, then ordering enough stock to meet that guess. You do not need special software. You need last year's sales, your supplier's lead time and a small buffer.
Start with what the market is saying
The National Retail Federation (NRF) released its holiday forecast on October 15, 2026. It expects November and December retail sales to grow 4.2 percent over 2025, to about $1.013 trillion. NRF counts the season as November 1 through December 31, and it leaves out car dealers, gas stations and restaurants.
That is a national number. Your shop may do better or worse. Use it as a check on your own plan, not as your plan. NRF also says last year's holiday sales rose 3.1 percent to $972 billion, so the trend is steady growth and not a sudden jump.
The Census Bureau adds a small signal. Its advance report on October 15, 2026 put September retail and food services sales at $745.0 billion, up 0.8 percent from August. Those figures are adjusted for season, so they show momentum and not the holiday spike itself.
Build your baseline from last year
Your own records beat any national figure. Pull daily or weekly unit sales for November and December of last year, one product at a time. Remove days when you ran out of stock, since those days show what you could ship and not what people wanted.
Next, find your average daily sales for the season and your best single day. Then decide on a growth guess. If your sales have grown all year, add a few percent. If they have been flat, keep last year's number. A plain guess you can explain is better than a fancy one you cannot.
Here is an example with made up numbers. A seller moved 600 units of one item over 61 days last year, which is close to 10 a day. With a modest lift, the plan is 11 units a day. The best single day last year was 16 units.
Know your lead time
Lead time is the number of days from placing an order to having the goods on your shelf. Count the supplier's make time, shipping and the time to check and shelve the delivery.
Look at your last several orders. Write down the average and the longest. In our example, the average is 14 days and the longest is 21 days. Peak season often stretches the longest case, because carriers and suppliers get busy at the same time you do.
Add a safety stock buffer
Safety stock is extra inventory that covers a sales spike or a late delivery. The inFlow Inventory guide gives a common formula: maximum daily sales times maximum lead time, minus average daily sales times average lead time.
Using the example numbers, that is 16 times 21, which is 336, minus 11 times 14, which is 154. The result is 182 units of safety stock. That is cautious, and it is costly if the item is bulky or may not sell later.
The same guide offers a lighter method. Start safety stock at 50 percent of the demand you expect during lead time. Move it up to 60 or 70 percent if you keep running out, or down to 30 or 40 percent if you end up with too much. In our example, lead time demand is 11 times 14, or 154 units. Half of that is 77 units of safety stock.
Turn it into an order date
The reorder point tells you when to place the order. It equals the demand you expect during lead time plus your safety stock. With the lighter method, that is 154 plus 77, or 231 units. When stock on hand drops to 231, order.
Then work backward from the calendar. Thanksgiving falls on November 26 this year, and the shopping weekend follows it. If your longest lead time is 21 days, goods that must be on your shelf by that weekend should be ordered by about November 5. That is tomorrow for the example seller, so a late order may need a faster shipping option or a smaller first buy.
Plan a second order, too. Split your buy into a first wave for the weeks before Thanksgiving and a smaller top up. The top up lets you react to what is actually selling, and it limits the cash you tie up in slow items.
Watch it week by week
A forecast is a starting point. Each week, compare real sales to the plan. If you sell 20 percent more than planned for several days, move your next order up. If sales lag, hold back the top up and consider a small promotion.
Keep a one page log of the plan, the actual numbers and what you changed. After the season, it becomes the baseline for next year. Retail hiring offers a hint about caution too. NRF expects retailers to hire 325,000 to 375,000 seasonal workers, close to last year's estimated 356,000, and it describes retailers as careful about hiring. A careful buyer plans with the same mindset: order enough to avoid empty shelves, but not so much that January is a clearance sale.
In short, use last year's sales for the baseline, your longest lead time for the risk, and a safety stock buffer for the surprises. Revisit the numbers weekly, and let real sales steer the rest of the season.