AI in purchasing

Procurement Software for CAD-Based Parts

We give procurement teams a decisive edge: driving cost transparency, faster sourcing and measurable savings by unifying 2D/3D drawings, CAD files, BOM/ERP data and supplier intelligence into one structured and AI-driven system.

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TRUSTED BY GLOBAL PLAYERS

Partners & Certifications

PartSpace powers procurement teams workflows at leading enterprises, backed by industry certifications and secure cloud infrastructure.

INDUSTRY CHALLENGES

What makes buying technical components so hard today?

Procurement is under pressure to move faster and deliver savings in an increasingly complex engineering environment. Without structured data and intelligent tools, KPI targets become harder to achieve.

Fragmented Technical Data

(CAD + ERP + suppliers don’t match) Drawings live in folders, ERP fields are incomplete, supplier info is disorganized.

Quality & Compliance Risk

Limited visibility across supply chains increases the risk of non-compliance, quality issues and supplier-related disruptions.

Drawing Complexity + Version Chaos

Teams risk quoting or ordering from outdated or incorrect specs when managing thousands of drawings across formats and revisions.

Slow Supplier Benchmarking

Comparing suppliers is time-consuming and inefficient.Hard to spot outliers, overpricing, or best-fit manufacturers at scale.

Lack of Cost Transparency

RFQs without clear cost breakdowns or benchmarks can lead to price differences of up to 80% for parts.

Lead-Time & Supply Risk Exposure

Changing lead times and availability create sourcing uncertainty and disrupt production planning.

Limited Visibility Into Parts Data

Missed bundling opportunities, weaker negotiations and delayed sourcing decisions.

Manual Process Overload

Procurement teams are buried in administrative tasks, limiting their ability to focus on cost optimization and supplier strategy.

How PartSpace AI Supports Procurement?

Identify cost drivers in CAD-based parts to empower procurement

PartSpace AI helps procurement teams understand which technical and commercial factors drive the cost of a part and while automatically classifying thousands of drawing-based components based on them.

Material specifications

Automatically detects and structures material data (e.g., 16MnCr5, Al6061) for faster sourcing and compliance.

Dimensions & Geometries

Extracts surface areas, hole patterns, and tolerances instantly, enabling manufacturability and cost analysis.

Surface Treatments & Finishes

Identifies Ra values, coatings, and finishes so critical requirements are captured without manual effort.

Production Requirements

Translates drawings into production insights, recommending the right process — CNC, molding, sheet metal, or additive.

Part Classification & Grouping

Clusters similar or duplicate parts across libraries, cutting redundancy and revealing savings.

Spend Analytics

Combines geometry, material, and complexity data to benchmark prices and expose should-cost gaps.

How does PartSpace AI improve Procurement?

Engineering-Driven Procurement Intelligence

Leverage AI-driven cost analysis, supplier intelligence, RFQ automation and enterprise connectivity for technical procurement workflows.

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Find Similar Parts and Duplicates Automatically

PartSpace AI helps procurement and engineering teams identify technically similar parts, drawing components and duplicates across CAD, PLM, ERP and purchasing data. Buyers can instantly see whether a comparable part has already been sourced, which supplier produced it and what price was paid.

Reuse historical prices, suppliers and RFQ data for new parts.

Reduce duplicate parts and unnecessary supplier requests.

Improve part standardization across engineering and procurement.

Identify Cost Drivers in CAD-Based Parts

PartSpace AI breaks down the technical and commercial factors that influence part cost from material and geometry to tolerances, machining complexity, surface requirements, batch size and supplier capability.

Understand how technical requirements affect supplier pricing.

Identify supplier, order quantities, and past sourcing info.

Compare cost structures across similar parts and suppliers.

Spot hidden cost drivers before sending or awarding an RFQ.

Define Should Costs and Target Prices for Part Price Benchmarking

PartSpace AI understands pricing models and combines CAD data, historical prices, supplier quotes, similar part benchmarks and manufacturing logic to estimate realistic should costs and define negotiation-ready target prices. Procurement teams can benchmark every offer against technical and commercial cost intelligence.

Set target prices before supplier negotiations.

Benchmark supplier quotes against similar parts and past RFQs.

Identify whether offers are realistic, inflated or competitive.

Automated RFQs for Drawing Based Parts Faster (Multilingual Support)

PartSpace AI automates RFQ preparation with PartsAgent, connecting CAD data, technical drawings, supplier intelligence, historical pricing and sourcing workflows in one procurement intelligence platform. Procurement teams can classify drawing parts, identify similar components, benchmark prices and launch RFQs faster with less manual effort.

Find similar parts and past RFQs.

Recommend suitable suppliers.

Reuse quotes, prices and sourcing history.

Define target prices before RFQ release.

Reduce manual RFQ work for procurement teams.

Easy Enterprise Connectivity

PartSpace connects CAD, ERP, SAP, PLM, SRM, and RFQ data in one procurement intelligence platform, helping teams turn technical and commercial data into faster sourcing decisions.

Use CAD data, BOMs, drawings, and material master data.

Combine pricing models, supplier and sourcing intelligence.

Reduce manual system switching across procurement workflows.

Optimize Sourcing with Supplier Benchmarking

PartSpace AI helps procurement teams compare suppliers using historical quotes, pricing data, technical capabilities, sourcing history and similar part references.

Identify suppliers for similar parts and assemblies.

Benchmark quotes against historical sourcing data

Improve supplier selection and sourcing decisions.

Bundle similar parts and orders to improve pricing and supplier leverage.