Digital Twin

Logistics & Warehouse Digital Twins

A business generates huge amounts of data on a day-to-day basis. But the question is, do you use this data to make profits or enhance operations in your organization? Mostly the answer is no. Well, with Digital Twin, you can!

In this process, we integrate various sources of data in your organization into a dashboard which provides real-time monitoring of data to produce actionable insights like, alerts and notifications. Above this dashboard is a simulation platform that uses AI models to replicate the supply chain for stress testing, predictive analytics, and also serves as a training ground for automations. This can assist you in realizing the full potential of your assets and production processes by sensing and analyzing operational data in real time.

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Retail Digital Twins | Manufacturing and Construction Digital Twin

How does this work?

Key Features of Digital Twin

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Highlight 1

Connectivity

It is an enabler for having the facility to connect all data sources into it.

Highlight 2

Remote Monitoring & Control

Consolidate all your data streams into one platform for real-time monitoring, featuring a unified dashboard with instant alerts and actionable insights.

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Highlight 3

Simulation & Modeling

An advanced technique in Digital Twins is adding a simulation platform on top of the data layer. This allows organizations to leverage visualization for enhanced predictive analytics.

Highlight 4

Stress Testing & Predictive Analysis

A Digital Twin's key feature is identifying breaking points in production without disrupting operations. Simulations highlight areas for improvement and assess load capacity.

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Top use cases of Digital Twins in Logistics & Warehouses

Digital Twins in logistics and warehouses are revolutionizing operations by enabling real-time tracking and monitoring of assets, optimizing warehouse layouts, and improving supply chain efficiency.

Supply Chain Optimization

Digital twins in supply chain optimization provide real-time insights and predictive analytics for simulation and monitoring. They enhance efficiency, reduce costs, and improve decision-making.

Warehouse Simulation of Production Pipelines

Digital twins in warehouse simulation enable real-time modeling to optimize workflows and identify bottlenecks. This boosts efficiency and minimizes downtime.p>

Predictive Maintenance & Repair

Digital twins in predictive maintenance monitor real-time asset data to foresee equipment failures and enable timely maintenance. This approach reduces downtime, lowers repair costs, and extends machinery lifespan.

Sustainability Improvement

Digital twins optimize logistics by simulating efficient routes and energy use, helping to reduce carbon emissions. Continuous monitoring and adjustments support sustainability goals, such as lower fuel consumption and reduced waste.

Technologies Used

Digital Twin with NVIDIA

NVIDIA Omniverse powers 3D simulations, with Metropolis, Isaac, and cuOpt combining to deliver a robust platform for data-driven insights and analytics.

Digital Twin with Snowflake

Snowflake’s Data Cloud offers powerful data storage and ingestion, seamlessly integrating with other solutions to create an efficient Data Twin.

Digital Twin with AWS

AWS IoT TwinMaker enables seamless integration of diverse data sources, supporting most common platforms for comprehensive data ingestion.

Digital Twin with Google

Google integrates data from its services into its cloud, using it to power AI solutions like Vertex AI and Demand Sensing for various business applications.

Digital Twin with Azure

Azure Digital Twins can connect to IoT Hub device twins, allowing live real-time data from the IoT Hub to be processed, monitored, visualized, and analyzed in Azure Digital Twins.