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What is Lokad?

Each possible future scenario must be scrutinized, as every alternative presents its own level of probability. It is crucial to assess all feasible choices against their potential outcomes and associated likelihoods. Economic considerations should inform the prioritization of these feasible alternatives. To ensure effective management, automating routine tasks is vital. The responsibility for quantitative results falls on the Supply Chain Scientist. Lokad provides valuable video content on Quantitative Supply Chain, addressing various subjects like demand forecasting, inventory oversight, pricing tactics, and additional relevant areas. These materials feature weekly dialogues with supply chain specialists, succinct summaries of fundamental principles, and structured lectures on supply chain mechanics. The Quantitative Supply Chain perspective introduces a novel and creative approach to optimizing supply chains, prompting a thorough reevaluation of many traditional methods, especially in inventory forecasting. This methodology is engineered to utilize cutting-edge statistical techniques alongside the vast computational capabilities available today, leading to a more streamlined future in supply chain operations. Ultimately, the adoption of contemporary analytics within supply chain strategies can vastly improve the decision-making processes and overall operational efficiency. By embracing these innovative practices, organizations can better navigate the complexities of modern supply chains.

What is Atlas Planning Platform?

Contemporary supply chains must swiftly adapt to fluctuations in market demand and unexpected disruptions. Over the last two decades, the Atlas Planning Platform has played a pivotal role for top-tier companies in achieving this agility. This platform empowers digital twin functionalities for the actual supply chain, ensuring it is perpetually optimized through cutting-edge machine learning techniques and the latest advancements in artificial intelligence. Automation and machine learning are critical components for enhancing digital supply chains. The AI and policy features of Atlas facilitate the autonomous execution of various tasks, streamlining operations significantly. By utilizing automated machine learning, Atlas can sift through vast datasets to pinpoint the most crucial insights. Moreover, the Atlas Planning Platform integrates both structured and unstructured planning data from diverse sources, including ERP systems, IoT devices, and market data. Our cohesive data model ensures that any changes are reflected consistently across all planning stages and levels of detail in your multi-enterprise supply chains, thereby maximizing efficiency and responsiveness. In this way, companies can better navigate the complexities of modern logistics and supply chain management.

Media

Media

Integrations Supported

QuickBooks Commerce
SkuVault
Unleashed

Integrations Supported

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

Lokad.com

Date Founded

2006

Company Location

France

Company Website

www.lokad.com

Company Facts

Organization Name

John Galt Solutions

Date Founded

1996

Company Location

United States

Company Website

johngalt.com/atlas

Categories and Features

eCommerce

CRM
Data Security
Inventory Management
Kitting
Mobile Access
Multi-Store Management
Reviews Management
Templates

Categories and Features

Digital Twin

Not specified

Supply Chain Management

Demand Planning
Inventory Management
Order Fulfillment
Sales & Operations Planning
Supplier Management

Supply Chain Planning

Not specified

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