Tariffs land on industrial manufacturers in a way that few other cost pressures do. They can strike imported finished goods and equipment directly. But for a manufacturer pricing its output, the bigger exposure is usually the inputs it buys, raised in cost before units ship.
And they move on a schedule no manufacturer controls. A rate can rise, reverse, or shift to new materials before a pricing team finishes reacting to the last change.
Zilliant frames this as a pricing control problem. A manufacturer that treats each new rate as an emergency tends to overcorrect or fall behind, while one that treats pricing as a system can absorb the same volatility without surrendering margin. The companies holding margin turn a moving target into a managed process.
The instinct when a tariff rate is announced is to read it as a price increase of the same size. A 25% tariff feels like a 25% problem. But when the tariff falls on a purchased input, it touches only that input’s share of total cost, so its real effect depends on how much of the product that input represents.
For example, a 25% tariff on a component that accounts for roughly 30% of a product’s cost raises finished-goods cost by something closer to 7.5%, not 25%. The headline rate and the actual cost impact are different numbers, and treating them as the same leads a manufacturer to overprice and lose the sale. Independent analysis points the same way, with manufacturers generally passing through far less than the full rate.
Getting that number right means working product by product, not across the catalog at once. That is the real burden tariffs impose: a constant recalculation that pulls staff away from running the business.
Margin leaks as readily from mistimed reactions as from the tariffs themselves. Move too slowly, and the cost comes straight out of margin while the price lags behind. Move too fast on a rate that later reverses, and a manufacturer is left defending an increase its customers resent, or carrying a stranded surcharge that no longer reflects any real cost.
Both errors trace to the same gap: no clear rule for when to act.
Stephan Liozu, chief value officer at Zilliant, puts the problem plainly, arguing that by the time a pricing decision is made, validated, and rolled out, the market has already changed again. The fix is not speed for its own sake. It is a defined trigger that tells a manufacturer when to stop watching a rate and reprice and, just as important, when to hold steady and when to unwind a change as readily as it was made.
Zilliant presents Pricing Plus as the antidote to the recurring fire-drill response manufacturers fall into when rates keep moving. The pitch reframes volatility as a system to manage rather than a string of emergencies. Two products carry that argument.
The optimization layer, Price IQ, is designed to model price elasticity and recommend pass-through rates that vary by customer segment and product, rather than one blanket increase across the catalog. Price elasticity describes how demand responds to a price change, which in practice tells a manufacturer how much of a tariff it can pass to a segment before losing the sale.
A companion product, Price Manager, is designed to act as a single source of truth for prices and sync them across ERP and CRM systems, connecting repriced values to the systems a manufacturer already runs.
Tariffs are not going to settle into a predictable rhythm, and no manufacturer can price its way out of the volatility entirely. What it can control is the response. Zilliant’s argument is that pricing handled as a managed system turns a recurring fire drill into a routine adjustment. For an industrial manufacturer, that is the difference between defending margin and watching it leak one rate change at a time.
