IoT-Driven Pest Control for Warehouses

Objective:
To develop a smart, scalable, and eco-friendly IoT-based pest control system for warehouses, addressing billions in inventory losses caused by insects and rodents using traditional methods.

Problem Identified:
India suffers losses of over ₹1,300 crores annually in grain storage due to pests.

Traditional methods are chemical-heavy, inefficient, and labor-intensive.

Lack of real-time monitoring, predictive tools, or environmental considerations.

Tech-Driven Solutions Designed:
IoT Multi-Sensor Pest Detection

Real-time temperature, humidity, and motion sensors to detect pest activity.

AI-Driven Pest Analytics

Forecast pest behavior and automate strategic countermeasures using deep learning.

Ultrasonic Eco-Repellent Systems

Reduce pesticide use with smart, non-toxic deterrents.

Drone-Based Surveillance

Autonomous drones for real-time pest detection across large warehouse spaces.

🔬 Business Model & Stakeholder Insights:
Designed a full stakeholder ecosystem involving warehouse owners, IoT hardware providers, cloud services, and environmental consultants.

Proposed a three-phase implementation plan: Pilot, Scalability, and Industry-Wide Rollout.

Mapped a customer journey, value drivers, and a risk-mitigation strategy.