Enter . Developed by Gurugram-based Intellinet Systems, this latest iteration of the Electronic Parts Catalog (EPC) software is not just an update; it is a complete overhaul designed specifically to handle the complexity of the Indian market. By integrating Machine Learning (ML) deeply into its core architecture, Version 8.0 promises to eliminate guesswork, reduce misorders by a significant margin, and digitize the spare parts supply chain for the world’s fastest-growing auto market.
In India, where supply chain fragmentation is a major hurdle, Version 8.0 acts as a central nervous system. It connects directly with existing ERP and DMS (Dealer Management Systems). When a dealer places an order, the system checks real-time inventory at the warehouse level, displays accurate pricing inclusive of local taxes, and offers cross-selling suggestions.
Version 8.0 introduces several core upgrades designed to handle the complexity of modern inventory: intelli catalogue ml - version 8.0 -india-
The software connects directly with leading ERP systems to deliver dynamic pricing updates. For the Indian market, this include automated calculations for the Goods and Services Tax (GST) framework, reflecting specific state-level taxes, dealer margins, and active volume discounts right at the point of order. Operational Impact on Indian OEMs and Dealerships
ICML/IND/2026/Q2/V8.0 Version: 8.0 (Enterprise Release) Classification: Public – Client & Partner Distribution Geographic Scope: India (including Tier 1, Tier 2, and Emerging Cities) Effective Date: April 11, 2026 Prepared By: Intelli Automation Solutions India Pvt. Ltd. In India, where supply chain fragmentation is a
Version 8.0 integrates seamlessly with . It automatically flags superseded parts. If a part has been replaced by an improved version, the system automatically redirects the dealer to the new part number, preventing the return of obsolete stock and reducing claim fraud.
Given the high cost of misorders (which includes return logistics and brand reputation), the ROI on a digital catalog can be realized within the first few months of deployment. Version 8
| Metric | Result | Industry Benchmark (India) | | :--- | :--- | :--- | | Catalog ingestion speed | 12,400 SKUs/minute | 8,200 SKUs/minute | | Vernacular NLP F1-score | 0.942 | 0.87 | | GST code accuracy | 99.1% | 94.5% | | Offline mode sync success | 97.8% (after 8 hrs offline) | 89% | | Model inference cost | ₹0.012 per SKU | ₹0.035 per SKU |
: Enterprises can deploy the software via secure cloud infrastructure or on-premise servers, aligning with local corporate data governance policies and corporate security standards. Future Opportunities and Technical Advancements