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What is ParkourSC?

Organizations today are confronted with the pressing need to find supply chain technology that delivers more than mere visibility into their operations. They seek solutions that promote transparency, enhance agility, and drive innovation throughout the entire supply chain ecosystem. ParkourSC's digital supply chain operations platform stands out by offering extensible digital twins, predictive insights, operator dashboards, process automation, and cross-enterprise collaboration, enabling companies to harness their ecosystem for greater resilience. The digital twins play a crucial role in monitoring real-time conditions and performance, helping to avert waste and ensure timely deliveries. This platform provides extensive visibility into assets and inventory across all stages, including supply, manufacturing, warehousing, logistics, and distribution, encompassing even the last mile. By digitizing their supply chains, businesses can adopt a variety of operational rules tailored to the specific needs of their processes. Moreover, these digital twins generate a comprehensive digital representation of the supply chain from beginning to end, ultimately empowering organizations to make better-informed decisions and engage in more effective strategic planning. As a result, firms can better adapt to market changes and improve their overall operational efficiency.

What is Azure Digital Twins?

Azure Digital Twins serves as an IoT platform enabling the creation of digital replicas of physical entities, spaces, processes, and people. This innovative platform yields critical insights that can significantly improve product development, optimize operational efficiency, lower costs, and enhance customer satisfaction. It provides an intuitive framework for crafting digital representations of interconnected settings using a flexible modeling language. Users can model a wide variety of entities, including buildings, manufacturing plants, agricultural fields, energy systems, transportation networks, sports facilities, and even entire cities. These digital twins come alive in a dynamic execution environment that monitors changes over time. By utilizing powerful query APIs, users can glean actionable insights into the behaviors of their modeled environments and easily integrate with Azure's data analytics services. The open modeling language allows for the creation of customized domain models tailored to any connected setting through the Digital Twins Definition Language, ensuring adaptability across various applications. Thus, Azure Digital Twins not only supports business innovation but also enables organizations to adjust effectively in an ever-evolving digital landscape, making it an invaluable tool for modern enterprises.

Media

Media

Integrations Supported

Azure Marketplace
ICONICS' Intelligent Building Software (IBSS)
Microsoft Azure

Integrations Supported

Azure Marketplace
ICONICS' Intelligent Building Software (IBSS)
Microsoft Azure

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

ParkourSC

Company Location

United States

Company Website

www.parkoursc.com/digital-supply-chain-twin/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/digital-twins

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

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