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features
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support

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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

Supply chain software solutions empower organizations to effectively navigate business disruptions and turn their supply chains into a source of competitive advantage. By fostering an agile and streamlined manufacturing environment, these tools facilitate real-time decision-making rather than relying on reactive measures after issues arise. Among these solutions, the Arkieva Supply Planner stands out as a robust optimization tool designed to align supply with corporate goals amidst changing conditions. Effectively managing your supply chain hinges on creating a plan that optimally meets demand. Our solution can lead to a sustainable decrease in inventories by as much as 20% throughout the network, achieved through reduced overtime costs, enhanced throughput, and minimized setup times. Arkieva's capabilities extend to modeling both internal and external supply chains across a global enterprise, accommodating multi-site, multi-user, and enterprise-wide needs, thereby enhancing overall efficiency and adaptability. This holistic approach ensures that organizations are not just surviving disruptions but thriving in a dynamic business landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Q
Amazon Q Business
Amazon Web Services (AWS)

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

Arkieva

Founded

1993

Country

United States

Website

www.arkieva.com

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

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

Alternatives

Alternatives

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