The CPG Playbook for Seasonal Demand and Excess
A field guide for supply chain and planning leaders heading into the holidays, built on Spoiler Alert platform data and insights from the buyers who move seasonal inventory.
Manufacturers who plan around the exit recover 85% more cost than those who wait until after the season passes.

Built from surveys with presidents, national sales directors, and category buyers across 15 major secondary retail and wholesale buyers.
Two factors. One definitive data set.
How much shelf life matters
Products set to expire during their category's peak month recover 25–45% less than a comparable lot with shelf life extending a month beyond season — and liquidating earlier doesn't necessarily compensate.
When supply and demand actually move
Manufacturers list their highest seasonal volume three months ahead of peak demand — exactly when buyers have the least urgency to bid. Sell-through tells a different story.
What buyers really want
11 buyer friction points, and two answers accounted for all 15 responses: suppliers wait too long to sell, and pricing expectations don't match post-season reality.
What the data actually shows
Manufacturers who plan the exit ahead of season recover 85% more cost than those who wait until after the holiday passes.
Post-holiday liquidation (2026 Valentine's Day chocolate data) saw 46% lower cost recovery than inventory moved beforehand.
Product expiring 2+ months after peak sells through at three to six times the rate of short-dated cohorts, and holds its recovery across the year.
The last 90 days before expiry cost half the recovery: cost recovery falls roughly in half for cases held into their final quarter of shelf life.
We can move a lot of goods if we receive the goods with even 2–4 weeks before the season ends. Anything sold after the season inevitably loses money for us, as our customers expect large discounts.
Treat the exit with the same discipline as the entry.
See exactly when to sell, to whom, and what it's worth — backed by $6B+ in real transaction data.
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