Komete provides real-time production order visibility within the factory floor using IoT sensors and AI-driven predictive analytics. The system automatically tracks work orders and semi-finished goods to identify bottlenecks and prevent delays. This results in guaranteed on-time deliveries, reduced coordination costs, and optimized material flow across production and logistics.
Funding
Funding not disclosed
Founders
Product
Problem
Many manufacturing facilities still rely on manual processes for data collection and tracking of work in progress, leading to inefficiencies, inaccurate data, and increased operational costs. The lack of real-time visibility into manual workflows and logistics hinders optimization efforts and results in wasted time and resources.
Solution
Komete offers an AIoT solution designed to automate data collection and optimize manual processes and logistics within manufacturing environments. By attaching small sensors to orders, semi-finished goods, and other assets, the system automatically captures real-time data on their status and location. Fixed antennas (gateways) then transmit this data to a centralized platform, providing manufacturers with complete visibility into their operations. This enables them to identify bottlenecks, reduce idle times, optimize workflows, and eliminate paper usage, ultimately increasing productivity and reducing costs without significant capital investments.
Target Audience
Komete targets manufacturing companies looking to improve the efficiency of their manual processes and logistics, reduce operational costs, and gain real-time visibility into their operations.
Features
- Real-time location tracking of orders and assets using small, easily deployable sensors
- Automated data collection of working times in manual workstations
- Analysis of order lead times to identify inefficiencies and reduce downtime
- Wireless gateway connectivity for rapid, plug-and-play installation
- Cloud-based platform for data visualization, reporting, and analysis
- Customizable dashboards for monitoring key performance indicators (KPIs)
- Integration with existing manufacturing execution systems (MES) and enterprise resource planning (ERP) systems