Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Reduce the risks of overstock and stock-outs to enhance customer satisfaction while simultaneously decreasing costs associated with excess inventory.
Easily obtain visibility throughout your supply chain without the need for replatforming, hefty upfront licensing fees, or binding commitments.
Leverage machine learning (ML) to make better-informed decisions in your supply chain by utilizing actionable insights powered by advanced analytics.
Gain an understanding of the overall condition of your supply chain network, complemented by ML-driven insights regarding potential inventory issues, including both excessive stock and stock shortages.
Rapidly deploy AWS Supply Chain utilizing ML models that can comprehend, extract, and convert diverse data sources into a cohesive data lake.
Examine suggested actions that can help alleviate risks, and utilize integrated contextual collaboration features to expedite the agreement and implementation of decisions.
Improve the accuracy of demand forecasts to minimize stock shortages, while also enhancing demand planning precision with ML models that progressively refine their predictions over time, leading to better inventory management.
This comprehensive approach not only streamlines operations but also fosters a more responsive and resilient supply chain.
Description
Modern supply chains must be able to immediately respond to changing market demand patterns and disruptions. The Atlas Planning Platform has been a key tool for leading companies over the past 20 years. The Atlas Planning Platform supports digital twin capabilities for your physical supply chain. It continuously optimizes it with advanced machine learning algorithms and the most recent AI technology.
Machine learning and automation are essential to support digital supply chains. Atlas' AI and policy capabilities allow you to autonomously execute tasks. Our automated machine learning combs through mountains and data to identify the most important. Atlas Planning Platform seamlessly integrates both structured and unstructured planning data sources, including ERP, IoT and market. Our unified data model instantly ripples changes across all planning time periods and levels of granularity in your multi-enterprise supply chains.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Q
Yes
Amazon Q Business
Yes
Amazon Web Services (AWS)
Yes
Integrations
Amazon Q
No
Amazon Q Business
No
Amazon Web Services (AWS)
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/aws-supply-chain/
Vendor Details
Company Name
John Galt Solutions
Founded
1996
Country
United States
Website
johngalt.com/atlas
Product Features
Supply Chain Management
Demand Planning
No
Electronic Data Interchange
No
Import / Export Management
No
Inventory Management
No
Order Fulfillment
No
Order Management
No
Sales & Operations Planning
No
Shipping Management
No
Supplier Management
No
Transportation Management
No
Warehouse Management
No
Product Features
Supply Chain Management
Demand Planning
Yes
Electronic Data Interchange
No
Import / Export Management
No
Inventory Management
Yes
Order Fulfillment
Yes
Order Management
No
Sales & Operations Planning
Yes
Shipping Management
No
Supplier Management
Yes
Transportation Management
No
Warehouse Management
No