List of aPriori Should Cost Customers
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Since 2010, our global team of researchers has been studying aPriori Should Cost customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased aPriori Should Cost for Design to Cost from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using aPriori Should Cost for Design to Cost include: Caterpillar, a United States based Manufacturing organisation with 112900 employees and revenues of $64.81 billion, Axcelis Technologies, Inc., a United States based Manufacturing organisation with 1120 employees and revenues of $662.0 million, Soucy Group, a Canada based Manufacturing organisation with 1700 employees and revenues of $590.0 million and many others.
Contact us if you need a completed and verified list of companies using aPriori Should Cost, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the PLM and Engineering software purchases.
The aPriori Should Cost customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of PLM and Engineering software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Axcelis Technologies, Inc. | Manufacturing | 1120 | $662M | United States | aPriori | aPriori Should Cost | Design to Cost | 2017 | n/a |
In 2017, Axcelis Technologies, Inc. implemented aPriori Should Cost to support Prediction Cost for Design across its manufacturing engineering and sourcing workflows. The engagement used aPriori Spend Analytics to scan a focused set of 100 machined and sheet metal parts, sorting parts by cost, material, volume, complexity, manufacture region and supplier to create a prioritized dataset.
Configuration emphasized should-cost estimation workflows and benchmarking, comparing aPriori Should Cost model estimates with actual supplier prices. Analysts used part mass as a primary driver, deriving a cost versus mass baseline to isolate a cohort of parts for deeper evaluation. The analysis then incorporated complexity and material composition assessments as cost drivers to surface design and cost outliers consistent with Prediction Cost for Design functional practices.
Operational coverage included procurement, sourcing and design engineering teams, and extended across manufacturing regions and supplier cohorts rather than a blanket enterprise rollout. The implementation established iterative review cycles so engineering could flag design outliers and sourcing could investigate supplier price variance using outputs from aPriori Should Cost.
Governance centered on structured part reviews and a phased analysis approach, progressing from baseline identification to complexity and material focused validation on targeted parts. Cost avoidance was identified as the greatest value received from aPriori, and the team noted that cost avoidance is difficult to track when interventions occur late in the design to sourcing process.
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Caterpillar | Manufacturing | 112900 | $64.8B | United States | aPriori | aPriori Should Cost | Design to Cost | 2018 | n/a |
In 2018, Caterpillar deployed aPriori Should Cost to support its NPI cost engineering and should-costing workflows. Caterpillar uses aPriori Should Cost as a Prediction Cost for Design capability to validate and predict manufacturing costs during design, with the explicit goal of eliminating the need for downstream cost reduction projects and saving money by avoiding additional resource allocation. Implementation focuses on validating the cost model for manufacturing scenarios around the world, including the United States, China, Europe, and South America, and the program embeds should-cost analysis into early design reviews to inform tooling, material and process decisions.
The deployment leverages regional Virtual Production Environments VPEs to run localized cost simulations and harmonize global cost assumptions, with VPEs providing the operational structure for scenario-based costing across sites. Functional capabilities implemented include automated should-cost calculations, scenario variant modeling, and design-for-cost inputs integrated into New Product Introduction workflows. Governance emphasizes centralized cost model stewardship and model validation to ensure consistency across regions and manufacturing locations. Outcomes reported in the program include validated global cost models and reduced reliance on reactive cost reduction initiatives.
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Soucy Group | Manufacturing | 1700 | $590M | Canada | aPriori | aPriori Should Cost | Design to Cost | 2017 | n/a |
In 2017, Soucy Group deployed aPriori Should Cost, implementing a Prediction Cost for Design application to remove supplier price dependency and compress cost visibility lead time to 2.5 days. The deployment centered on using aPriori Should Cost as a model based costing engine to generate rapid should cost estimates for both customer quoting and internal design costing workflows.
The implementation leveraged aPriori Should Cost capabilities for automated should cost analytics, design for manufacturability recommendations, and iterative costing to support design reviews. Configuration emphasized automated costing workflows that produce priced outputs within a two day target, and accuracy monitoring to compare quoted prices against supplier invoices.
Operational coverage included quoting, design engineering, and sales functions where the platform is used to generate fast, customer facing price quotes and to cost out internal designs. Soucy Group adjusted business processes to use the extra lead time for deeper design optimization and to provide actionable cost reduction recommendations back to customers, reinforcing a consultative sales motion.
Governance and performance tracking were oriented around price accuracy and process efficiency, with Soucy Group reporting average variance between quoted price and actual supplier price of plus or minus 3 percent and describing process efficiency as nearly perfect. Those outcomes support faster time to market, more responsive quoting under compressed timelines, and a positioning of Soucy Group as a trusted partner by passing validated savings and design recommendations to customers.
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Buyer Intent: Companies Evaluating aPriori Should Cost
- Graco, a United States based Manufacturing organization with 4000 Employees
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