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
An all-encompassing platform for planning, analytics, and data is revolutionizing decision-making in supply chain management, revenue generation, and profit and loss strategies for large enterprises, catering to the demands of the digital era's speed and scalability. Within every global organization, there exists a multitude of planning processes—including demand, supply chain, revenue, product, and financial planning—that often operate in isolation, resulting in a fragmented approach to decision-making. These processes tend to be slow and sequential, which does not effectively address the intricate challenges, unpredictability, and expansive scale faced by modern businesses. Moreover, the abundance of data available today, sourced both internally and externally, poses a unique challenge; while companies have access to descriptive analytics, they often struggle to extract actionable insights that can lead to more informed and timely decisions. Ultimately, the need for integrated solutions that harness data efficiently has never been more critical in navigating today's complex business landscape.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon Q
Yes
Amazon Q Business
Yes
Amazon Web Services (AWS)
Yes
extrakt.AI
No
Integrations
Amazon Q
No
Amazon Q Business
No
Amazon Web Services (AWS)
No
extrakt.AI
Yes
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
No
Mac
No
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)
Yes
In Person
No
Vendor Details
Company Name
Amazon
Founded
1994
Country
United States
Website
aws.amazon.com/aws-supply-chain/
Vendor Details
Company Name
o9 Solutions
Founded
2009
Country
United States
Website
o9solutions.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
Demand Planning
Capacity Planning
No
Data Visualization
No
Historical Reporting
Yes
Inventory Optimization
No
Planned vs Actual Tracking
Yes
Product Introduction Planning
Yes
Promotions Management
Yes
Replenishment Management
Yes
Sales Forecasting
Yes
Supply Forecasting
Yes
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
Trade Promotion Management
Analytics / ROI Tracking
No
Approval Workflow
Yes
Budgeting & Forecasting
Yes
Claims Management
No
Competitor Analysis
No
Compliance Management
No
Customer Management
No
Discount Management
Yes
Pricing Optimization
No
Promotion Calendar
No
Settlement Management
No
Trade Agreement Management
No