Boost Profitability
by Reducing Costs

Improve profits by reducing product costs by 10-30%

Overview
aPriori helps manufacturers quickly identify and eliminate excess cost across their COGS (cost of goods sold) – from material reduction, to labor, to overhead. By combining digital factories, digital twins, real-time cost models, and world class curated data, aPriori empowers COOs, procurement leaders, and engineering leaders to drive 10-30%+ reduction in COGS. From better negotiation results with suppliers to more cost-effective product re-designs, aPriori has you covered across your product lifecycle to both reduce actual costs hitting your income statement as well as reducing future costs by mitigating cost during early development. No more lengthy review cycles or waiting months from suppliers or internal manufacturing teams on cost estimates.

Challenges Today & aPriori Solutions

Turn Cost Pressure Into Stronger Margins

Today's manufacturers face increasing pressure to reduce costs across the entire product lifecycle. aPriori helps you overcome these challenges with AI-powered cost intelligence, enabling smarter decisions, stronger margins, and a more competitive future.

Automated Should Costing

Generate accurate, defendable cost insights in minutes — not weeks.

aPriori’s automated should-costing engine leverages CAD-driven digital factories to instantly estimate part and assembly costs – providing expert level manufacturing knowledge to scale everyone’s impact. Engineering and sourcing teams gain consistent, objective should cost insights to guide decisions from design through production. From a single part to a complex assembly – aPriori’s automated should costing provides the speed you need to improve your products profitability faster than ever.

Case Study: How €6B Signify is driving 10x more should costs with aPriori.

Your Challenges

Today’s process is manual and takes too long.

No unified should costing method across engineering and procurement causing rework & delays.

Today’s method is not consistent or repeatable – leading to many inconsistencies.

Our Solutions

Automatically calculates should-cost estimates based on geometry, material, and process parameters (all pulled “behind the scenes” from a 3D-model).

Eliminates manual data collection and reliance on supplier quotes & expert feedback.

Run aPriori in “batch mode” to analyze many parts at once.

Run aPriori in “lights out mode” to automatically identify the products with the highest cost reduction potential - automatically sent to your email.

Fact-Based Negotiation

Lift the curtain on supplier quotes.

aPriori equips you with unbiased, data-driven insight to validate supplier price changes and open transparent conversations. Instead of negotiating on price alone, aPriori helps you negotiate on cost — breaking quotes down process by process to reveal exactly where money is spent. With visibility into material, labor, and overhead rates across regions, teams can validate supplier quotes, benchmark costs, and build stronger, more strategic supplier relationships.

How Thompson Aero Seating found 68% cost savings using Bulk Costing.

Your Challenges

Reliant on suppliers to dictate terms and price, limiting leverage during negotiations.

Sourcing decisions and supplier negotiations reliant on inaccurate data.

Reactionary supply chain management impacting margin.

Our Solutions

Establish if supplier price increases are fair by instantly analyzing the true impact for your parts.

Analyze detailed cost breakdowns to establish transparent cost conversations with suppliers.

Identify cost outliers quickly to focus on the most impactful savings opportunities.

Zero RFQ

Eliminate Time-consuming RFQ Processes.

Turn 20-Week RFQs into 1-Week Approvals. aPriori enables you to unlock quoteless sourcing by creating a digital factory replica of your strategic suppliers' factory. With upfront alignment with your supplier, each digital factory can be created with their specific machines, rates, and cycle times. Move beyond the time-consuming three-bid process and send work directly to the right fit supplier with aPriori's Digital Factories.

Alstom saves 40% on supplier costs using a "zero rfq" approach.

Your Challenges

Traditional RFQs take far too long.

Limited visibility across the supply chain.

Low supplier collaboration slows decisions.

Our Solutions

Use digital factories to model strategic supplier capabilities and cost.

Instantly create quotes for changes in part revision, material rate, volume, or new parts.

Enables early optimization opportunities to avoid late-stage redesigns.

Product Cost Reduction & Optimization

Plan smarter production with virtual capacity and routing insights.

aPriori’s global digital factories simulate manufacturing across multiple regions and processes to uncover the most cost-effective manufacturing options. Optimize costs by analyzing regional impact (i.e. labor rates), machine type, volumes, manufacturing process, and materials—instantly. Whether it’s optimizing cost early in design development or for a sustaining engineering/VAVE project after a product is in production, aPriori can be used to get you on track to profitability.

3 Min Demo Video to Optimize Cost.

Your Challenges

Running out of new innovative ideas to go and pursue.

Siloed functions and processes between engineering and procurement and manufacturing.

Manual methods used today prevent teams from moving fast and scaling impact.

Our Solutions

Models cost impacts of alternate regions, suppliers, and materials to find ways to reduce cost quickly.

Identifies cost-saving opportunities by identifying outliers across many scenarios.

Enables agile sourcing strategies in response to supply chain disruption.

Provides a digital workspace to identify ideas, collaborate with each other, and keep track of progress.

MBOM Routing + Cycle Time & Capacity Analysis

Understand where time—and money—are being lost. Create faster MBOMs early in design.

aPriori’s manufacturing process simulations break down each manufacturing step to reveal bottlenecks and inefficiencies driving up cost and cycle time. Use this insight to fine-tune operations, reduce total production time, and effectively put together a capacity strategy plan. Take an EBOM routing and turn it quickly into the start of your MBOM.

Learn how $12B AGCO uses aPriori digital factories to improve manufacturing cycle time.

Your Challenges

Manual or no method today for estimating cycle time for use in capacity planning.

Lack of alignment between design engineering & manufacturing engineering on EBOM to MBOM.

Manufacturing Engineering starts from scratch to create MBOM adding to delays and extra review loops.

Our Solutions

Identifies cycle time drivers such as tool changes, setup, and material removal rates.

Break down the process into specific operations like set-up time, preparation, primary operations, and secondary operations.

Quickly compare manufacturing process scenarios and evaluate side-by-side to optimize cycle time.

Make vs. Buy Analysis

Confidently decide what to produce internally and what to outsource.
With aPriori, you can virtually model many manufacturing scenarios for your own factories, your existing supply chain, or future supply chain across the globe for nearly any manufacturing process. Know in seconds whether it makes sense to outsource a part to your supply chain or bring that capability in house.

Learn how aPriori helps with CapEx analysis & investment decisions.

Your Challenges

Waiting weeks or months for quotes back from suppliers for directional cost estimation.

Manual, time-consuming process today leading to delays.

Today’s method is not consistent or repeatable – leading to many inconsistencies.

Our Solutions

Compares manufacturing scenarios side by side – and compare internal make vs. external buy.

Tooling CapEx evaluation and cost estimation.

Evaluate make vs buy faster, and simulate “what if” scenarios to more clearly understand the financial implications and lead times involved in making a product in-house vs outsourcing it to external suppliers.

Consider the economies of scale and the possibility of reducing costs through improved processes or technology.