aPriori Blog

Manufacturing, cost, sourcing, and product development insights to help you make smarter decisions from design to source to make.

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How Green Energy Manufacturers Can Turn the Tide and Regain Profitability

Inflation squeezes wind and hydro turbine makers; discover four strategies to slash production costs with real-time should-cost modeling.

Where Manufacturers Should (and Shouldn’t) Make Cost Reductions

Learn where manufacturers should cut costs—design, supply chain, automation, waste—while protecting quality and innovation.

What’s the Difference Between Manufacturing Process and Cost Models?

Learn how manufacturing cost and process models reveal should-cost, DFM, and CO2e tradeoffs to speed profitable design decisions.

Carrier Streamlines Supplier Management With Digitalization

Carrier digitized should-costing with aPriori, uncovering $21M savings, streamlining suppliers, and targeting zero-RFQ plus 2030 goals.

How Signify Captures Savings With Automated Should Costing

Signify uses aPriori automation for rapid should-cost analysis, enabling smarter supplier negotiations, savings, and sustainable procurement.

EU Manufacturer Captures Savings Despite Energy Price Increases

EU manufacturers counter energy-driven cost inflation using aPriori should-cost models to challenge surcharges and secure double-digit savings.

How to Build the Ultimate 2023 Should Costing Playbook

Build a should-costing playbook for 2023: unite cost engineers, digital models, and cross-team collaboration to negotiate better.

Overcoming Global Supply Chain Issues Through Cost Engineering

Supply chain turmoil demands cost engineers and simulation-driven manufacturing intelligence to rapidly evaluate suppliers, costs, risks, and sustainability.

Accelerate Your Product Cost Analysis With Bulk Costing

Bulk costing automates multi-part cost analysis, flagging outliers and simulating scenarios to guide smarter design and sourcing.

How to Get Lean: Cost-Saving Tips for Manufacturers

Cut manufacturing costs by mapping cost drivers, applying lean principles, and embedding Design-to-Cost analytics early in product design.