STATXO

Revolutionize Mechanical Parts Management with VisionXO

Supercharge your mechanical operations with AI-powered part classification. Instantly identify components, eliminate duplicates, and streamline workflows — all with VisionXO’s advanced image recognition built to reduce costs and maximize part reuse

VisionXO

Powered by Deep Visual Intelligence

VisionXO, powered by STATXO, combines 3D file analysis, Deep Learning, and Computer Vision on a cloud platform to classify mechanical parts, detect duplicates, enrich metadata, and seamlessly sync with ERP/MRP systems — all with minimal manual effort.

Key Features

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Centralized Parts Repository

Easily consolidate and organize all your mechanical parts in one place — complete with high-resolution visuals, detailed metadata, and smart classifications to support efficient part management.

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AI-Based Image Classification

Leverage advanced computer vision to classify mechanical parts by visual and structural similarities. VisionXO also predicts accurate labels to enrich metadata and standardize naming — boosting speed and reducing errors.

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Multi-Layered Visual Analysis

Tap into advanced visual matching techniques, from pixel-level statistics to deep feature vectors and 3D structural overlays — ensuring high-accuracy comparison and classification.

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Custom Similarity Thresholds

Set precision at your pace. VisionXO gives you control to define similarity thresholds, allowing you to fine-tune results based on your unique business requirements.

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Smart Part Search & Lookup

Experience instant usability with intelligent part search powered by images or ID inputs — helping users quickly find needed parts in seconds and significantly enhance overall daily operational efficiency.

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Automated Part Recommendations​

Get smart suggestions for compatible or alternative parts with VisionXO, which analyzes specs, visuals, and usage patterns to recommend substitutes, reducing costs and simplifying procurement.

How VisionXO Delivers High-Precision Part Classification

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Statistical Analysis

Compares pixel level image features to spot visual differences — helping you filter out lookalike parts with ease.

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Overlap Test

Detects alignment between parts using smart image overlays — ensuring visual matches are truly identical.

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Feature Vector Analysis

Applies deep learning to recognize parts and return Part ID, category, confidence score, and dimensions — enriching metadata instantly.

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Dimensional Test

Checks physical dimensions like length and thickness — so you know whether parts are structurally compatible before use.

Benefits Attained

From sourcing to inventory — drive efficiency, standardization, and smarter decisions across teams.

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Accelerate Sourcing Workflows​

Cut down time spent on part identification and approvals by 30- 40%, enabling faster design, sourcing, and production cycles.​

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Lower Costs via Part Reuse ​

Reduce procurement and manufacturing expenses by avoiding redundant purchases and improving the utilization of already existing components.​

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Simplified Inventory Management

Eliminate misclassified or duplicate parts to maintain a leaner inventory and ensure easier management across platforms and warehouses.​

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Standardize Part Data Quality​

Achieve cleaner and consistent part records through AI-driven labelling, metadata enrichment, and accurate classification.​

Workflow at a Glance

Testimonials

“VisionXO has boosted classification speed and accuracy across product lines, seamlessly integrating into our systems and accelerating model rollouts.”

– Chief Procurement Officer, Leading Automotive OEM

“We automated a previously manual, error-prone process with VisionXO. It adapts quickly, improves over time, and has enhanced our operational efficiency.”

– Chief Technology Officer, Precision Parts Manufacturer

“VisionXO brought structure and intelligence to our parts data, enabling faster, more confident sourcing decisions across procurement and engineering teams.”

– Chief Procurement Officer, Heavy Machinery Manufacturer

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