Skyware utilizes IoT and AI technologies to provide real-time statistical monitoring of agri-warehousing conditions, enabling users to predict spoilage of stored commodities. This approach significantly enhances storage efficiency and reduces losses compared to traditional warehousing methods.
Funding
Funding not disclosed
Founders
Product
Problem
Post-harvest losses in agriculture due to spoilage during warehousing are a significant problem, impacting food security and economic stability. Traditional warehousing methods often lack real-time monitoring and predictive capabilities, leading to inefficient storage and preventable losses.
Solution
Skyware offers an IoT and AI-powered solution for real-time statistical monitoring of agri-warehousing conditions, enabling users to predict and mitigate spoilage of stored commodities. The system utilizes IoT-based monitoring devices to collect environmental data within warehouses, providing insights into commodity behavior. AI-backed virtual assistants then analyze this data to forecast spoilage, optimize shelf life, and automate maintenance, all accessible through a SaaS model.
Target Audience
Skyware targets agricultural businesses, food corporations, and government agencies involved in the storage and management of post-harvest commodities.
Features
- IoT-based sensors for real-time monitoring of temperature, humidity, and other critical environmental parameters within warehouses.
- AI-powered predictive models to forecast spoilage and optimize storage conditions.
- SaaS platform for remote monitoring, automated maintenance alerts, and data-driven decision-making.