Tokyo Factory offers a cloud-based process control system that visualizes manufacturing data across the supply chain, enabling the construction of a centralized manufacturing information database. This service enhances operational efficiency, facilitates skill transfer, and improves delivery timelines and product quality while reducing travel costs.
Funding
$2.7M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many manufacturing operations lack a centralized system for visualizing and managing data across the entire supply chain, leading to inefficiencies, difficulties in skill transfer, and challenges in maintaining consistent product quality and delivery timelines. This lack of visibility can also result in increased operational costs, including unnecessary travel for on-site problem solving.
Solution
Tokyo Factory's Proceedクラウド is a cloud-based process control system designed to provide manufacturers with comprehensive visibility into their operations. The platform facilitates the construction of a centralized manufacturing information database by visualizing data across the supply chain. This enables businesses to improve operational efficiency, streamline skill transfer between employees, enhance delivery timelines, and improve overall product quality. By centralizing data and providing remote access, Proceedクラウド also helps reduce travel costs associated with traditional manufacturing management.
Target Audience
The primary target audience includes manufacturing companies of all sizes seeking to improve operational efficiency, enhance product quality, and reduce costs through better data management and process control.
Features
- Cloud-based platform accessible from anywhere with an internet connection
- Centralized database for storing and managing manufacturing information
- Real-time visualization of data across the entire supply chain
- Tools for identifying and addressing inefficiencies in manufacturing processes
- Features to support skill transfer and training for employees
- Reporting and analytics capabilities for tracking key performance indicators (KPIs)