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What is anyLogistix?

AnyLogistix is a sophisticated software solution for supply chain analytics that merges dynamic simulation with analytical optimization to assist in the design, enhancement, and evaluation of your supply chain. Through network optimization, you can identify the most effective supply chain structure. The Transportation optimization experiment guides you in finding optimal delivery routes, assessing fleet composition, and deciding between using third-party logistics or your own vehicles. Furthermore, the outcomes of analytical optimization can be transformed into a dynamic simulation model. This transformation enables the exploration of time-sensitive variables, unpredictable events, potential risks, actual system performance, and the interactions among various components of your supply chain. By leveraging simulation, you can achieve more precise inventory management and forecasting while considering network-related risks and dynamics, thereby boosting your supply chain's resilience. Additionally, the software offers adaptable statistics and animated maps for enhanced visualization and analysis. This comprehensive approach ensures that you are well-equipped to navigate the complexities of modern supply chain management.

What is GAINS?

GAINS is dedicated to enhancing the accessibility of supply chain planning for various businesses. Through its Supply Chain Performance Optimization Platform, GAINS empowers organizations of every scale to advance with improved agility, resilience, and confidence. The cloud-based platform, driven by AI, ensures ongoing optimization of profits and costs by utilizing machine learning, established algorithms, and actionable insights. This technology caters to a wide range of sectors, including global manufacturing, distribution, retail, and service parts or maintenance operations. By integrating innovative design with the GAINS Proven-Path-to-Performance (P3)SM methodology, the platform facilitates swift onboarding and delivers measurable outcomes, such as boosted sales, increased inventory turnover, and enhanced service levels, all while lowering operational costs in a timeframe as short as eight weeks. GAINS takes pride in its digital supply chain planning expertise, serving prominent industry leaders like Graybar, Menards, Honda Motors, Rockwell Automation, Stuller, and Textron Aviation, thereby solidifying its reputation as a key player in the field. This commitment to excellence continues to drive GAINS forward in transforming supply chain strategies for businesses around the world.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Windows

Supported Platforms

SaaS
iPhone
iPad
Windows

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour 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

The AnyLogic Company

Date Founded

2002

Company Location

United States

Company Website

www.anylogistix.com/alx-features/

Company Facts

Organization Name

GAINSystems

Date Founded

1971

Company Location

United States

Company Website

gainsystems.com

Categories and Features

Supply Chain Management

Demand Planning
Import / Export Management
Inventory Management
Order Fulfillment
Shipping Management
Supplier Management
Transportation Management
Warehouse Management

Supply Chain Planning

Not specified

Categories and Features

Demand Planning

Not specified

Distribution

Not specified

Oil and Gas

Not specified

Supply Chain Management

Demand Planning
Electronic Data Interchange
Inventory Management
Order Fulfillment
Sales & Operations Planning
Supplier Management
Warehouse Management

Supply Chain Planning

Not specified

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