: Automatically tracks part history and compatibility, ensuring dealers always order the latest version of a component.
Version 8.0 converts standard engineering CAD data into highly responsive, interactive 2D and 3D illustrations. Users click directly on a component within an exploded view blueprint to automatically highlight its part details, verify dimensions, and add it to the procurement cart. 3. Automated Supersession and Part History Tracking
When an OEM replaces an old part with a modified design, Version 8.0 automatically flags the change. The machine learning engine maps the dependency tree to ensure the dealer sees: The current part number and its historical superseded data. intelli catalogue ml - version 8.0 -india-
: Provides high-resolution illustrations with hotspotting , allowing users to click directly on parts within an assembly to identify and order them.
For decades, Indian dealerships and service centers relied on thick, printed parts manuals or basic digital PDFs. These legacy systems suffered from severe limitations: measurable improvements across aftermarket retail channels.
: Converts standard PDFs into searchable, interactive HTML formats.
Addressing the connectivity challenges still faced in remote industrial hubs, Version 8.0 includes a robust offline mode. Users can download specific vehicle make databases to their devices, ensuring uninterrupted access to part numbers and diagrams even in low-connectivity zones. : Provides high-resolution illustrations with hotspotting
Illustrated Electronic Spare Parts Catalog System | LinkedIn
Deploying an AI-driven EPC framework yields immediate, measurable improvements across aftermarket retail channels. The following table summarizes verified performance gains realized by major manufacturers upgrading to this platform version: Operational Metric Traditional Manual/PDF Systems Intelli Catalogue ML V8.0 Business Impact 15–20 minutes per item Reduced by 60% Faster workshop turnaround times Wrong Parts Ordering Rate 8% – 12% average variance Reduced by 40% Drastic reduction in return logistics cost Digital Sales Growth Stagnant phone/email orders Increased by 60% Scalable self-service B2B ordering On-Shelf Stock Availability Intermittent shortages Improved by 25% Minimized machine and vehicle downtime