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PADDYPRO VENTURES PRIVATE LIMITED

KSUM recognised
Malappuram, Kerala
Sector Retail
Industry Retail
Business model B2C
Technology AI / ML Mobile Apps Web technologies
Location Malappuram, Kerala
Founded 2025

Team

JAHFAR THATTARUTHODI
JAHFAR THATTARUTHODI
Founder
ABDUL RASHEED PP
ABDUL RASHEED PP
Founder

Product 1

KartoKart KartoKart digitizes fragmented local commerce in semi-urban and rural markets through AI-driven discovery, ordering, and delivery. Customers can shop using conversational AI on WhatsApp, while local businesses gain digital storefronts, demand discovery, and delivery support. The platform combines multi-vendor commerce, AI personalization and hyperlocal fulfillment. Sector Retail Industry Retail Model B2C Technology AI / ML Mobile Apps Web technologies

KartoKart is an AI-powered hyperlocal commerce platform developed by Paddypro Ventures Private Limited to make local shopping more convenient while digitally enabling fragmented local businesses in semi-urban and rural India.

Problem: Local commerce remains fragmented across independent stores, restaurants, supermarkets, fresh-produce sellers, and other neighborhood businesses. Customers often need to search across multiple stores or depend on phone calls and physical visits, while many local businesses lack the technology, digital visibility, and delivery infrastructure required to participate effectively in online commerce.

Solution: KartoKart brings multiple local businesses into a unified marketplace and enables customers to discover and purchase products through a conversational AI shopping assistant over WhatsApp. Customers can communicate naturally in Malayalam or English instead of navigating complex e-commerce interfaces.

AI & Technology: KartoKart AI uses intent classification, customer context, product and inventory data, user preferences, and large language models to understand customer requests and generate relevant shopping responses. KartoKart's AI layer is built using Python/FastAPI and integrates with the commerce platform, inventory, vendor, and delivery systems. The platform uses Redis for high-speed queues and rate limiting and MySQL/MariaDB for transactional and marketplace data.

Intelligent Commerce: KartoKart is designed to move beyond simple product search. Its AI can understand conversational shopping requirements, identify relevant products across vendors, use customer purchase history and preferences, and support AI-assisted cart creation. The platform also uses inventory and vendor-level data to improve product availability and reduce unnecessary multi-vendor fulfillment.

Hyperlocal Fulfillment: Orders are fulfilled through participating local vendors and KartoKart's delivery-partner network. The platform is designed around a light-asset operating model, allowing KartoKart to expand marketplace coverage without owning retail inventory or operating traditional warehouses.

Market Focus: KartoKart initially focuses on semi-urban and rural markets where local commerce is highly fragmented and conventional quick-commerce models may have limited coverage. The platform currently operates across Kottakkal, Tirur and Malappuram marketplaces and is designed to scale across additional local markets.

Business Model: Revenue is generated through commissions from participating businesses and advertising/promotional opportunities within the marketplace. The platform can support multiple categories including restaurants, groceries, fresh vegetables and fruits, meat and fish, bakery, dairy, household essentials, and other local commerce categories.

Scalability: KartoKart's technology architecture separates the AI, commerce, inventory and delivery layers, allowing new marketplaces and vendors to be onboarded using a repeatable technology and operational framework. The long-term objective is to build an AI-first local commerce network that enables customers to shop from their neighborhood ecosystem through a single conversational interface.

Sector Retail Industry Retail Model B2C Technology AI / ML Mobile Apps Web technologies
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