Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

ASCD serves as a robust supply chain design tool, particularly beneficial for businesses that rely on multi-stop shipments. It effectively optimizes both multi-stop route territories (outbound from warehouses) and the higher levels of the supply chain in tandem. This tool is instrumental in creating a supply chain network that balances various cost factors while adhering to different constraints, such as capacity limitations. For instance, a straightforward yet complex scenario, illustrated in the image above, involves balancing inbound expenses, warehousing and inventory carrying costs at distribution centers, and outbound costs, particularly when outbound logistics include multi-stop routes with specific delivery frequency requirements. To achieve a practical solution, it is crucial to accurately model the costs associated with multi-stop deliveries, taking into account these delivery frequency needs and aligning them with overall efficiency goals. Ultimately, ASCD provides a strategic framework that enables businesses to streamline their supply chain operations effectively.

Description

Distributed Order Management (DOM) systems have emerged as essential components in the execution of supply chains, particularly for omnichannel fulfillment and various other applications across different industries. These systems enable the automation, optimization, and orchestration of order fulfillment processes by providing detailed visibility into orders, inventory levels, service requirements, costs, and operational constraints. DOM can be understood as a software platform that facilitates integrated planning and execution of fulfillment across diverse supply chain networks that are multi-echelon, multi-node, multi-partner, and multi-channel. In contrast to traditional Order Management Systems (OMS), which focus primarily on order processing, DOM systems emphasize the fulfillment aspect of orders. By leveraging their capabilities, Distributed Order Management determines the most efficient way to source an order, ensuring customer service commitments are met while minimizing total costs or achieving other specific company objectives. Moreover, the adoption of DOM systems can significantly enhance responsiveness and adaptability in an increasingly complex supply chain landscape.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Agillence ALLO
Agillence ALMS
ReturnPro

Integrations

Agillence ALLO
Agillence ALMS
ReturnPro

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

Agillence

Founded

2003

Country

United States

Website

agillence.com/our-solutions/ascd/

Vendor Details

Company Name

Softeon

Founded

1999

Country

United States

Website

www.softeon.com/our-solutions/supply-chain-planning/distributed-order-management

Product Features

Product Features

Dropshipping

Analytics / Reporting
Customer Service Management
Order Management
Price Optimization
Product Information Management (PIM)
Shipment Tracking
Sourcing Management
Supplier Management
eCommerce Integration

Alternatives

Paradox Routing Tool Reviews

Paradox Routing Tool

Paradox Software Consulting
CTSI-Global TMS Reviews

CTSI-Global TMS

CTSI-Global