As of October 27, 2026, the US National Retail Federation expects retail sales in November and December to grow 4.2% over 2025, reaching roughly 1.013 trillion dollars for the holiday season. For consumer brands that sell through physical stores, the number that matters is not the headline growth rate but whether shelf availability can hold through a compressed, promotion heavy season, because a stockout in December cannot be recovered in January and the shopper who substitutes once often stays with the substitute.
What the 4.2% forecast actually measures
The forecast is an aggregate, and aggregates hide the operational problem. A 4.2% increase in dollars can come from more units, higher prices, or a mix of both, and each case implies a different stocking decision. If growth is mostly price driven, unit volumes stay flat and the risk is overstocking rather than stockout; if growth is volume driven, availability becomes the binding constraint.
The second piece of context is cost. Coresight's holiday outlook centres on last mile economics meeting a cautious consumer, which points to a season where retailers protect margin by trimming depth rather than widening assortment. Narrower assortment raises the cost of a single stockout, because there is no adjacent item to absorb the demand.
Last mile costs meet a cautious consumer
Why depth gets cut first
When fulfilment costs rise and shoppers compare prices more carefully, the first lever retailers pull is depth: fewer facings, later replenishment, and tighter safety stock. Depth cuts are invisible in a planogram review but visible in availability data within two weeks. Brands that only check listing status will conclude everything is fine while the shelf is quietly thinning.
This is why availability has to be measured, not assumed. A listing that exists in the retailer's system but is out of stock on the shelf is functionally absent, and the shopper experience is identical to a delisted item. Store checks capture that gap; system reports do not.
The consumer signal is not a demand collapse
Consumer demand does not collapse in a cautious market, but it shifts timing and format. Purchases move closer to need, pack sizes shrink, and promotional windows become decisive. For a brand, that means the demand curve is steeper than the annual average, and the penalty for missing the peak week is larger than the annual availability average suggests.
Store availability is a distribution question
Availability failures are usually described as supply problems, but they originate in distribution design. Three variables determine whether an item survives the holiday window: replenishment frequency to the store, the distance from the serving distribution centre, and whether the item is included in the retailer's automatic reorder logic. An item outside the reorder logic depends on manual orders, and manual orders fail exactly when store staff are busiest.
The practical implication is that holiday readiness is decided weeks before the season, when replenishment parameters are set. Brands that wait until December to raise availability concerns are negotiating against a schedule that has already been fixed. The earlier the parameters are reviewed, the more room a brand has to adjust them.
A checklist for the six week window
The table below sets out the four measures worth tracking through the holiday window, with the definition that makes each one comparable across stores and weeks. The third column shows what a brand should be able to reconstruct after the season ends.
| Measure | Definition | What to reconstruct afterwards |
|---|---|---|
| Distribution coverage | Share of target stores carrying the listing | Whether the listing survived the season |
| On shelf availability | Share of covered stores where the item is purchasable on the check date | Which weeks and stores failed |
| Replenishment interval | Days between deliveries to the store | Whether failure followed a delivery gap |
| Substitution rate | Share of shoppers buying an alternative when the item is absent | Whether lost sales returned later |
Distribution coverage and on shelf availability are often reported as a single number, which is the most common measurement error in holiday reporting. Coverage is a listing fact and moves slowly; availability is a daily operational fact and moves fast. Combining them produces a figure that neither describes the assortment nor the shelf.
Replenishment interval is the diagnostic variable. When availability drops in a store, comparing the failure dates against delivery dates separates a logistics failure from a demand spike. If failures cluster right before deliveries, the store is running too lean; if they cluster right after, the delivery itself was short.
Substitution rate closes the loop on lost sales. A high substitution rate means the shopper stayed in the category but left the brand, which is a competitive loss rather than a category loss. Tracking it requires store level observation, and even a small sample is more useful than none.
FAQ
Does the 4.2% forecast mean every category grows?
No. The forecast is an aggregate for November and December. Category performance varies with price sensitivity and promotion intensity, so the headline is a baseline rather than a target.
Why does store availability matter more in a high promotion season?
Because demand arrives in a narrow window. A stockout in mid December cannot be recovered in January, and shoppers who substitute once often keep the substitute.
What is the difference between distribution coverage and on shelf availability?
Coverage counts stores that carry the listing. Availability counts stores where the item is purchasable on a given day. A brand can have full coverage and weak availability at the same time.
How often should availability be checked during the holiday window?
Weekly is the practical minimum, and daily during the two weeks around peak promotional dates. Each check should record date, store and SKU so the trend can be rebuilt later.
