Version 10.0.0 exposes 100% of its functionality via a fully documented GraphQL and RESTful API suite. This allows developers to embed cataloging capabilities directly into existing CI/CD pipelines, automatically registering new data assets as soon as code is deployed to production. 4. Step-by-Step Migration and Upgrading Guide
is the latest iteration of the catalogue management software, designed to streamline how businesses organize and distribute product data. Released in early 2025, this version focuses on user experience, speed, and data insights. Key Features & Enhancements
Supports multiple search methods, including VIN/Serial number , part name, model, and AI-enabled visual or natural language searches.
: The software eliminates the "guesswork" associated with traditional paper or PDF catalogs by offering multiple entry points for search, including VIN/Serial number, model variant, and part name.
Whether you are a seasoned supply chain manager, an e-commerce director, or an IT administrator, understanding the depth of Intelli Catalogue version 10.0.0 is critical for optimizing your 2025-2026 operational strategy.
: Users can rotate, zoom, and view parts from multiple angles with Intelli Catalog 3D , which supports a wider range of file types for better system integration.
Before altering a database schema, data engineers can run a simulation to see exactly which downstream reports, APIs, or ML models will be impacted. 3. Active Governance and Policy Enforcement
By automating catalog creation and distribution for spare parts, Intelli Catalogue helps OEMs in these industries ensure that their global dealer networks have consistent, accurate, and up-to-date information.
Enhanced pattern-recognition models scan your entire data estate to flag Personally Identifiable Information (PII), Payment Card Information (PCI), and Protected Health Information (PHI) without requiring manual regex rules. 🌐 Advanced Data Lineage and Impact Analysis
In industrial manufacturing, automotive engineering, and heavy machinery production, managing spare parts data has traditionally been a logistical bottleneck. Original Equipment Manufacturers (OEMs), distributors, and field technicians have long grappled with bulky printed manuals, outdated legacy systems, and fragmented spreadsheets. Misidentified parts frequently lead to delayed maintenance, costly order returns, and lost aftermarket revenue.