Packaging sits one step upstream of its customers' demand, so when they destock, the packaging maker feels it first and feels it amplified. Add volatile resin and board, and the planning gets genuinely hard.
Sources: AF&PA via Fastmarkets (2024); Packaging Corporation of America, Q1 2023.
Packaging is a derived-demand business: people do not buy boxes, they buy what goes in them. So a packaging maker's volume is a leveraged bet on its customers' demand, and when those customers decide to run down their own inventory, the packaging order book falls faster than end demand ever did. The 2023 destocking showed it plainly, US corrugated box shipments dropped 4 to 5 percent on the year, and one major maker reported shipments down 12.7 percent in a single quarter. End demand did not fall that far; the bullwhip did the rest.
Much packaging is sold against customer call-offs and blanket orders rather than firm, even demand. That means the real signal is lumpy and arrives late: a customer draws nothing for weeks, then pulls a large release. Plan against the average and you are either sitting on stock waiting for a call-off that slipped, or scrambling when several land at once. The order pattern, not just the volume, has to be modelled.
Input costs, containerboard, resin, film, move with commodity and energy markets. Buy them reactively and every price spike flows straight to your cost; buy them against a reproducible demand plan and you can time and size purchases with intent. When raw materials are a dominant share of cost, the quality of the demand forecast behind procurement is a direct lever on margin, not a back-office detail.
Converting lines favour long runs to spread changeover cost, which collides with customers who want frequent, variable releases. Run too long and you build finished stock of a spec that may not call off on schedule; run too short and changeovers eat the margin. Sizing the run against the real forward call-off pattern, rather than line convenience, is where the balance is found.
The converters who ride their customers' swings instead of being thrown by them forecast call-off and seasonal demand reproducibly, modelling the release pattern rather than smoothing it. They size finished and raw buffers on real variability, and buy commodity-linked materials on that same demand signal rather than reacting to price. And they plan per customer and per site so a run is matched to real forward demand. It is the deterministic, auditable approach DemandIntel brings to packaging makers and distributors, on your own data, on top of the ERP you already run.
Packaging is derived demand, so when customers ran down their own inventory the order book fell faster than end demand. US corrugated shipments dropped 4 to 5 percent on the year and one maker's shipments fell 12.7 percent in a quarter, mostly bullwhip.
Model the call-off and release pattern, not just the average volume, so the plan anticipates lumpy draws instead of being caught waiting or scrambling. The order pattern itself is the signal.
Buying inputs against a reproducible demand plan lets you time and size purchases deliberately instead of absorbing every price spike, which matters because raw materials are a dominant share of packaging cost.
Size each run against the real forward call-off pattern rather than line convenience, so you avoid building finished stock that does not call off on schedule and avoid changeovers eating the margin.
A packaging order book is a leveraged bet on someone else's demand. When they destock, you feel it first, and you feel it bigger.
Picture your next S&OP meeting: one number on screen that nobody argues with. See it free, on your own data, in 45 minutes; and if it does not hold up, we part as friends.