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Average Ratings 0 Ratings

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features
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support

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Write a Review

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

Enhance resilience by implementing an agile supply chain that can swiftly adapt to innovation demands and address quality concerns, while also accommodating shifting customer requirements and outdated components to maintain compliance and minimize delays. Utilize artificial intelligence to anticipate demand and ensure timely product delivery through real-time supply and production planning, effectively placing resources where they are needed most. Leverage predictive analytics to refine and automate key aspects of inventory management, warehousing, fulfillment, material sourcing, and logistics to boost delivery performance. Establish flexible manufacturing systems and processes by integrating predictive technologies, the Internet of Things (IoT), and mixed reality, which can lead to increased throughput, improved quality, and timely deliveries while also cutting costs. By implementing proactive maintenance strategies, companies can reduce equipment downtime and enhance overall equipment effectiveness (OEE), thereby extending the lifespan of machinery. In this way, businesses are optimizing their operations through advanced Supply Chain Management techniques. Ultimately, the focus on developing agile manufacturing and distribution systems is key to thriving in today’s dynamic market landscape.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AXtension Content Gate No 
Amazon Q Yes 
Amazon Web Services (AWS) Yes 
Lyftrondata No 
Microsoft 365 No 
Microsoft Access No 
Microsoft Advertising No 
Microsoft Authenticator No 
Microsoft Azure No 
Microsoft Bookings No 
Microsoft Defender for Identity No 
Microsoft Dynamics 365 No 
Microsoft Dynamics 365 Finance No 
Microsoft Dynamics 365 Marketing No 
Microsoft Dynamics GP No 
Microsoft Dynamics SL No 
Microsoft Excel No 
The Asset Guardian EAM (TAG) No 
TrueCommerce No 
eHospital Systems No 

Integrations

AXtension Content Gate Yes 
Amazon Q No 
Amazon Web Services (AWS) No 
Lyftrondata Yes 
Microsoft 365 Yes 
Microsoft Access Yes 
Microsoft Advertising Yes 
Microsoft Authenticator Yes 
Microsoft Azure Yes 
Microsoft Bookings Yes 
Microsoft Defender for Identity Yes 
Microsoft Dynamics 365 Yes 
Microsoft Dynamics 365 Finance Yes 
Microsoft Dynamics 365 Marketing Yes 
Microsoft Dynamics GP Yes 
Microsoft Dynamics SL Yes 
Microsoft Excel Yes 
The Asset Guardian EAM (TAG) Yes 
TrueCommerce Yes 
eHospital Systems Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$180 per user per month
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 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) 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

Microsoft

Founded

1975

Country

United States

Website

dynamics.microsoft.com/en-us/supply-chain-management/overview/

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 No 
Order Management No 
Sales & Operations Planning No 
Shipping Management No 
Supplier Management No 
Transportation Management No 
Warehouse Management No 

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