: Many Indian tech firms are currently implementing versioned ML models to automate the "Deep Learning" of product images for automated inventory management. ResearchGate 3. Deep Piece Fashion & Design
remain the primary market, with the software designed to handle complex vehicle assemblies, VIN-based part mapping, and year-model-variant configurations. Heavy machinery and construction equipment manufacturers facing similar parts management challenges have also adopted the platform, as demonstrated by Intellinet’s participation in events like Bauma CONEXPO for the construction industry. Two-wheeler and commercial vehicle manufacturers benefit from the system’s ability to manage high-volume parts catalogs with frequent model updates.
ML Version 80 leverages computer vision to allow users to snap a photo of a physical component. The system searches the digital catalogue and returns the exact match or nearest equivalent. Furthermore, augmented reality (AR) support enables engineers to project a 3D model of the component onto their workshop floor using a smartphone—an invaluable feature for reverse engineering in Indian aftermarket segments.
The software features advanced, interactive illustrations that allow for easy, visual part identification. The new version enhances "hotspotting," enabling users to click on specific parts within a diagram to access detailed specifications, pricing, and availability immediately. 3. Automated Part Supersession Management intelli catalogue ml version 80 india
Intelli Catalog - Illustrated Electronic Spare Parts Catalog System
Uses illustrations, VIN/Serial numbers, models, or part numbers to help dealers find exact spare parts. Order Management:
Traditional paper catalog management requires expensive printing and redistribution every time a part is updated. With Intelli Catalogue, OEMs can upload parts and product information incrementally, maintaining date-wise release history without recurring printing costs. This shift from physical to digital eliminates an entire category of operational expense. : Many Indian tech firms are currently implementing
Lets users select a damaged region on a virtual vehicle model with their mouse to instantly isolate all nearby parts.
of Indian brands using similar AI tools.
Beyond search and identification, the ML engine powers analytic features that help OEMs make data-driven decisions. The system tracks which parts are most frequently searched, ordered, or misidentified, providing valuable insights for inventory planning, fraud detection, and dealer support. The system searches the digital catalogue and returns
The version 80 update brings several key enhancements designed specifically for efficiency and accuracy. 1. Advanced ML-Driven Natural Language Search
Cross‑platform accessibility is a hallmark of Version 80. The responsive web application adapts seamlessly to desktop computers, tablets, and smartphones, allowing users—whether in a dealership office, a service center, or out in the field—to access the catalog from virtually any device. A user noted, “Being able to use it on my phone means I can access parts info and order from anywhere, even when I’m out on the floor”.