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What is Lantek Analytics?

Lantek Analytics provides a comprehensive collection of tools aimed at supplying timely and precise information that is crucial for optimizing production operations within your organization. It offers valuable insights into machine performance, line efficiency, and overall factory output, while also conducting in-depth analyses of customer behaviors and sales techniques, thus aiding in forecasting manufacturing needs and supporting Smart Quoting practices. The platform gathers extensive manufacturing data from the supply chain, drawing on three decades of expertise in Sheet Metal processing, and organizes this data through a Data Gateway, which can easily connect with external SAP systems, a Business Intelligence Cockpit, or the Lantek BI module. With functionalities like OEE tracking, Machine Monitoring, and Inventory management, Lantek Analytics delivers meaningful insights that can lead to significant operational enhancements. Our advanced algorithms scrutinize historical data sourced from both Lantek’s Quotes and Sales software and clients' external CRM systems, enabling the identification of trends and patterns over time that foster better decision-making and operational effectiveness. Moreover, the insights generated can equip businesses with the agility needed to excel in a competitive market. By harnessing these tools, companies can not only improve their efficiency but also strategically position themselves for future growth opportunities.

What is Digital Twin Studio?

The Data-Driven Digital Twin toolkit enables real-time visualization, monitoring, and optimization of operations through the use of machine learning and artificial intelligence, effectively managing costs associated with SKUs, resources, automation, equipment, and more. Featuring Digital Twin Shadow Technology, this system provides real-time visibility and traceability via its Open Architecture, allowing seamless interaction with various RTLS and data systems, including RFID, barcode, GPS, and various management software like WMS, EMR, ERP, and MRP. With the integration of AI and machine learning, users benefit from predictive analytics and dynamic scheduling, as the technology offers timely insights and alerts about potential issues before they escalate. Additionally, the Digital Twin Replay feature allows users to revisit past events and configure active alerts, while the Digital Twin Studio supports the playback and animation of these events in virtual reality, 3D, and 2D formats. Furthermore, the tool provides dynamic dashboards with a user-friendly drag-and-drop builder, offering limitless customization options for data presentation and analysis. This comprehensive digital twin solution empowers organizations to enhance efficiency and gain deeper insights into their operational processes.

Media

Media

No images available

Integrations Supported

SQL

Integrations Supported

SQL

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

Lantek

Date Founded

1986

Company Location

Spain

Company Website

www.lantek.com/us/analytical-intelligence-software-sheet-metal

Company Facts

Organization Name

CreateASoft

Date Founded

1992

Company Location

United States

Company Website

www.createasoft.com

Categories and Features

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

Categories and Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Manufacturing Intelligence

Aggregation
Analysis
Contextualization
KPIs
Propagation
Visualization

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