Intelli Catalogue ML Version 8.0 is available immediately for download on Android, iOS, and Windows platforms. Existing users are encouraged to update their applications to experience the new speed and feature enhancements.
The "ML" in the title is not just a buzzword; it represents the core upgrade in this version. By integrating sophisticated Machine Learning algorithms, the platform moves beyond static PDF catalogues and basic database searches.
1. Visual Identification & Smart Search One of the standout features of the 8.0 update is the enhanced Visual Search capability. Users can now snap a photo of a vehicle part—whether it is a filter, a brake pad, or an engine component—and the system utilizes image recognition to identify the part instantly. This is particularly beneficial in the Indian market, where mechanics often deal with worn or unlabelled components. intelli catalogue ml - version 8.0 -india-
2. AI-Driven Recommendations The new "Intelli-Suggest" feature analyzes user behavior and purchase history to recommend complementary parts. For example, if a user searches for a specific brake pad, the system will intuitively suggest compatible brake fluids and hardware kits, increasing the average order value for retailers and ensuring comprehensive repairs for workshops.
3. Native Regional Language Support Recognizing the linguistic diversity of the Indian subcontinent, Intelli Catalogue ML 8.0 introduces native support for major regional languages. This democratization of technology allows mechanics and counter staff in Tier-2 and Tier-3 cities to navigate complex catalogues in Hindi, Tamil, Telugu, or Marathi, removing the language barrier that has long hindered technology adoption in the sector. Intelli Catalogue ML Version 8
4. Offline Capabilities 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.
POST https://api.intellicatalogue.in/v8.0/gst_infer
Headers: x-api-key: [key], x-state-of-supply: "Maharashtra"
Body:
"product_description": "Amul Butter 500g Carton",
"seller_type": "registered",
"price": 275
Response:
"hsn_code": "04051000",
"gst_rate": 12,
"compensation_cess": 0,
"legal_tip": "Food preparation, not exempt per Sch I"
V7.0 successfully reduced manual tagging by 54% across Indian FMCG sectors. V8.0 targets the remaining 46% by introducing inference under ambiguity—a ML model trained on 12 million Indian product images and 8 million vernacular descriptions. The "ML" in the title is not just
This feature is uniquely Indian. Using historical data, the ML in Version 8.0 predicts data drift during the monsoon season. It has learned that fiber optic cable datasets degrade in accuracy between June and September due to physical rerouting. The catalogue automatically flags high-risk datasets and suggests recertification.