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
Effective Supply Chain Management entails ongoing evaluations of service and cost trade-offs between internal teams and external partners, while also being a process that heavily relies on data. This complexity leads to decision-making being both intricate and time-consuming. SC Genius aims to simplify supply chain optimization for all users. They have developed an innovative supply chain optimization tool called "sim-supply," which enables the simulation of orders, invoices, movements, and inventory levels to explore various "what-if?" scenarios. By integrating this with your replenishment system, you can run numerous hypothetical scenarios. Additionally, applying supply chain costs to each scenario allows for comparison, making it easier to pinpoint the most cost-effective strategies for managing product flows. This approach not only streamlines the decision-making process but also empowers businesses to enhance their operational efficiency.
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)
Yes
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)
Yes
In Person
Yes
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/aws-supply-chain/
Vendor Details
Company Name
Supply Chain Genius
Founded
2011
Country
United States
Website
www.scgenius.com
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
No
Electronic Data Interchange
No
Import / Export Management
No
Inventory Management
No
Order Fulfillment
Yes
Order Management
No
Sales & Operations Planning
Yes
Shipping Management
No
Supplier Management
No
Transportation Management
No
Warehouse Management
No