“With CPQ, our sales teams could interpret the needs of the customer and quickly identify which solutions within our entire product line best met those needs.”
“With CPQ, our sales teams could interpret the needs of the customer and quickly identify which solutions within our entire product line best met those needs.”
Configuration data is becoming an increasingly important input in product strategy as manufacturers optimize configure-to-order and engineer-to-order models.
Rising costs are forcing manufacturers to make tougher decisions about how they price. Materials, energy, and labor expenses continue to climb, with limited room to pass those increases on. And when pricing execution breaks down, it puts deals and margins at risk.
See how fragmented product configuration knowledge drives higher costs in sales, engineering, production quality, supply chain, and services, and how centralization can reduce them.
Before adopting AI-powered CPQ, manufacturers need clear answers on how their product, pricing, and customer data is secured.
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