Koska

About Koska

Koska provides an IoT service that integrates RFID and camera sensors to automate real-time tracking of production progress and cost calculations in low-volume, high-variety manufacturing environments. This technology enables manufacturers to visualize operational efficiency and accurately compare estimated versus actual costs, enhancing profitability without significant changes to existing equipment or processes.

```xml <problem> Many low-volume, high-mix manufacturers struggle with real-time visibility into production progress and accurate cost tracking due to the complexity and variability of their operations. Traditional methods of tracking progress and calculating costs are often manual, time-consuming, and prone to errors, leading to inaccurate estimations and reduced profitability. </problem> <solution> Koska provides an IoT-based solution that automates the real-time tracking of production progress and cost calculations in low-volume, high-mix manufacturing environments. By integrating RFID and camera sensors, Koska's system visualizes operational efficiency and accurately compares estimated versus actual costs. The system requires minimal changes to existing equipment or processes, allowing manufacturers to gain insights into their operations without significant disruption. The collected data is displayed on a web-based dashboard, providing a comprehensive view of the entire production process, including progress, labor costs, material costs, and electricity consumption. This enables manufacturers to identify bottlenecks, optimize resource allocation, and improve overall profitability. </solution> <features> - Real-time tracking of work-in-progress using RFID sensors to record start and end times for each operation - Automated worker detection via camera sensors to capture actual labor time on each task - Web-based dashboard providing a Gantt chart view of overall factory progress, highlighting potential delays - Automated calculation of actual costs versus estimated costs, identifying discrepancies in labor, materials, and overhead - Integration of material costs by automatically reflecting purchase prices into the cost of goods sold - Granular tracking of electricity consumption at the equipment level to identify energy waste and optimize usage - Data-driven insights and recommendations for process improvement and cost reduction </features> <target_audience> Koska's primary customers are low-volume, high-mix manufacturers seeking to improve production efficiency, reduce costs, and gain real-time visibility into their operations. </target_audience> <revenue_model> Koska offers a subscription-based pricing model, with fees based on the number of production lines and the level of data analysis and support required. </revenue_model> ```

What does Koska do?

Koska provides an IoT service that integrates RFID and camera sensors to automate real-time tracking of production progress and cost calculations in low-volume, high-variety manufacturing environments. This technology enables manufacturers to visualize operational efficiency and accurately compare estimated versus actual costs, enhancing profitability without significant changes to existing equipment or processes.

When was Koska founded?

Koska was founded in 2018.

Founded
2018
Employees
247 employees

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Koska

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Executive Summary

Koska provides an IoT service that integrates RFID and camera sensors to automate real-time tracking of production progress and cost calculations in low-volume, high-variety manufacturing environments. This technology enables manufacturers to visualize operational efficiency and accurately compare estimated versus actual costs, enhancing profitability without significant changes to existing equipment or processes.

koska.jp7K+
Founded 2018

Funding

No funding information available.

Team (100+)

No team information available.

Company Description

Problem

Many low-volume, high-mix manufacturers struggle with real-time visibility into production progress and accurate cost tracking due to the complexity and variability of their operations. Traditional methods of tracking progress and calculating costs are often manual, time-consuming, and prone to errors, leading to inaccurate estimations and reduced profitability.

Solution

Koska provides an IoT-based solution that automates the real-time tracking of production progress and cost calculations in low-volume, high-mix manufacturing environments. By integrating RFID and camera sensors, Koska's system visualizes operational efficiency and accurately compares estimated versus actual costs. The system requires minimal changes to existing equipment or processes, allowing manufacturers to gain insights into their operations without significant disruption. The collected data is displayed on a web-based dashboard, providing a comprehensive view of the entire production process, including progress, labor costs, material costs, and electricity consumption. This enables manufacturers to identify bottlenecks, optimize resource allocation, and improve overall profitability.

Features

Real-time tracking of work-in-progress using RFID sensors to record start and end times for each operation

Automated worker detection via camera sensors to capture actual labor time on each task

Web-based dashboard providing a Gantt chart view of overall factory progress, highlighting potential delays

Automated calculation of actual costs versus estimated costs, identifying discrepancies in labor, materials, and overhead

Integration of material costs by automatically reflecting purchase prices into the cost of goods sold

Granular tracking of electricity consumption at the equipment level to identify energy waste and optimize usage

Data-driven insights and recommendations for process improvement and cost reduction

Target Audience

Koska's primary customers are low-volume, high-mix manufacturers seeking to improve production efficiency, reduce costs, and gain real-time visibility into their operations.

Revenue Model

Koska offers a subscription-based pricing model, with fees based on the number of production lines and the level of data analysis and support required.

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