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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
Transitioning from a state of ignorance to making informed business choices that affect millions daily illustrates the fluid boundaries of human cognition. However, the choices individuals make are not always optimal. While the capacity of the human mind is vast, it is still hindered by inherent biases that can slow down and distort decision-making. Furthermore, every choice carries its own consequences. The realm of decision sciences is evolving rapidly, becoming essential to a company's achievements. Industry 4.0 is fundamentally transforming traditional business operations. Companies are shifting towards Integrated Business Planning (IBP) instead of operating with isolated planning systems. The overall network value plays a crucial role in driving demand and generating revenue. The future is integrated, and it is already upon us. By effectively managing complexities and mitigating risks, businesses can make decisions that maximize value throughout their networks. It is essential to forecast and strategize for decisions across all levels—operational, tactical, and strategic—ensuring a cohesive approach to growth. Embracing this integrated mindset is crucial for navigating the complexities of modern business landscapes.
API Access
Has API
API Access
Has API
Integrations
Amazon Q
Amazon Q Business
Amazon Web Services (AWS)
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/aws-supply-chain/
Vendor Details
Company Name
VERDIS
Founded
2015
Country
India
Website
www.verdis.ai/
Product Features
Supply Chain Management
Demand Planning
Electronic Data Interchange
Import / Export Management
Inventory Management
Order Fulfillment
Order Management
Sales & Operations Planning
Shipping Management
Supplier Management
Transportation Management
Warehouse Management