Agenticate-KDHI – Agro Fintech Platform

Client: IT Service Organization

Category: AI | Python | DevOps | GPT-4

Date: Oct,08, 2025

About the client

Agenticate-KDHI is an innovative agriculture fintech platform aimed at digitizing inland agro-commodity trading operations in both cash and paper-based ecosystems. The client’s goal was to streamline the agricultural supply chain, connect farmers with buyers efficiently, and reduce manual interventions through automation. The platform focuses on the Indian agricultural market while leveraging AI-powered insights to improve trading efficiency and inventory management.

Client’s requirement

The client required a digital and AI-enhanced agro-commodity trading platform with the following key features:

AI-powered nearest suggestions: Recommend the closest farmers, storage facilities, and inventory based on location and product type.
Farmer-buyer connectivity: Enable sellers to connect with nearby farmers and agricultural inventory providers.
Supply chain digitization: End-to-end automation from order placement to delivery and payment tracking.
Inventory and product management: Track products, pricing, and availability efficiently.
Performance & security: Ensure a scalable, secure, and compliant platform for agricultural transactions.

Cannyfore Technology Solutions

Cannyfore delivered a scalable, AI-powered, and fully digital agro-fintech platform that addressed all client requirements:

Core Functionality

Geospatial & Recommendation: H3 / GeoPandas for geospatial calculations, and k-Nearest Neighbors (kNN) or Faiss for nearest farmer/inventory suggestions, enhanced with GPT-4 for intelligent recommendations.
User-Friendly Dashboards: Provide sellers and buyers with clear insights into trading activity, inventory levels, and transaction history using GPT-4 for natural language summaries.
Inventory management: Monitor product availability and manage pricing in real-time.
Automation & Analytics: Reduce human intervention and gain actionable insights on trading patterns with GPT-4.

Key Technologies Used

Agenticate-KDHI uses AI models including GPT-4 and kNN/Faiss for nearest farmer and inventory suggestions, Scikit-learn/XGBoost for predictive supply analytics
Frontend: React.js, Redux-Thunk, Functional Components, Bootstrap, HTML, CSS
Backend: Python, FastAPI (or Flask), APIs for AI-powered recommendations.
DevOps & Collaboration: Git, Yarn, VS Code
UI & UX: React UI frameworks, Bootstrap for responsive design