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Software Status:Active

About Descartes Datamyne

Descartes Datamyne is a logistics and supply chain management software from Descartes Systems Group that supports international trade by providing insights into import and export activities. It combines B2B Connectivity & Messaging, Broker & Forwarder Enterprise Systems, and Customs & Regulatory Compliance so businesses can navigate complex trade regulations effectively. Additionally, it offers Ecommerce Shipping & Fulfillment solutions to simplify online sales processes. Users can access real-time data on shipments, monitor regulatory changes, and communicate efficiently with trading partners. Key capabilities: B2B Connectivity & Messaging Broker & Forwarder Enterprise Systems Customs & Regulatory Compliance Ecommerce Shipping & Fulfillment Best for: businesses engaged in international trade that need to manage compliance and shipping logistics efficiently.

Descartes Datamyne Details

Vendor
Descartes Systems Group
Year Launched
1992
Location
Miami, US
Deployment
cloud
Training Options
documentation, videos, live online
Countries Served
Spain, Brazil, US
Languages
English
Users
Sales & Business Development
Industries Served
Global Retailers, Transport and Logistics, Chemical, Oil and Gas, Energy, Food and Beverage, Financial Services, Government and Public Sector, Law Firms
Tags
CTRM Software, Descartes Datamyne

Descartes Datamyne's In-App Market Place

Does Descartes Datamyne have an in-app market place?

Yes

How many Mini-Apps in the marketplace?

1

Mini Apps

N/A

Pricing Options

Free trial
Free version
Request a quote
Promo Offer

Accepted Payment Currencies

USD ($), EUR (€), GBP (£), CAD (C$), AUD (A$), JPY (¥), CNY (¥), INR (₹), RUB (₽), CHF (Fr), MXN ($)

Pros & Cons

  • 1. The data provided in reports is top-notch and comprehensive.
  • 2. It offers comprehensive data for tracking US maritime imports.
  • 3. US import data is available on an almost next-day basis.
  • 4. It allows tracking of competitive products and raw materials.
  • 1. The system as a whole is difficult to use.
  • 2. Getting the data filters right for export is somewhat difficult.
  • 3. Exported data requires scrubbing before it is useful.
  • 4. A lot of data is included in the export, necessitating scrubbing.

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