Freightos VS FriendlyData

• User-Friendly Interface
  Freightos offers an intuitive and easy-to-navigate platform that allows users to quickly compare shipping rates from various carriers.
• Real-Time Quotes
  Users can access real-time freight quotes, making it easier to determine shipping costs and compare different options.
• Comprehensive Carrier Network
  Freightos integrates with a wide range of carriers, providing users with multiple options for their shipping needs.
• End-to-End Solution
  Freightos provides a complete solution from quote to booking, enabling users to manage their shipments entirely online.
• Transparent Pricing
  The platform promotes transparency in pricing, helping users understand the breakdown of costs and avoid hidden fees.
• Support for Multiple Transport Modes
  Freightos supports various transportation modes, including air, sea, and land, allowing flexibility depending on shipping requirements.

Possible disadvantages

• Complexity for Beginner Users
  The wide range of options available might be overwhelming for users who are new to logistics and freight shipping.
• Variable Response Times
  Some users have reported delays in responses from certain carriers or customer support, which can impact time-sensitive shipments.
• Potential for Limited Information
  Although Freightos aims for transparency, sometimes the information provided might not be comprehensive enough for users needing detailed insights.
• Platform Fees
  There might be additional platform fees that users need to consider when calculating total shipping costs.
• Dependence on Third-Party Providers
  The quality and reliability of the service can be influenced by the third-party carriers integrated with Freightos, over which Freightos has limited control.
• Limited Control Over Shipment
  Once a shipment is booked, control over the logistics and fulfillment primarily lies with the chosen carrier, which can limit user intervention in case of issues.

• Ease of Use
  FriendlyData allows users to interact with databases using natural language queries, which makes it accessible for non-technical users who are not familiar with complex database query languages.
• Time-Saving
  By enabling natural language processing, FriendlyData reduces the time it takes for users to get the information they need, facilitating quicker decision-making processes.
• Integration
  FriendlyData can be integrated with various platforms and services, making it versatile for different business needs.

Possible disadvantages

• Complex Queries Limitation
  While FriendlyData is useful for simple queries, it may struggle to accurately interpret and execute more complex queries, limiting its effectiveness for advanced data analysis.
• Language Ambiguity
  Natural language processing might not always accurately interpret user queries, especially if the input is ambiguous or lacks specificity.
• Dependency on Vendor
  Relying on third-party services like FriendlyData introduces dependency on the vendor for maintenance, updates, and support, which could pose risks if the service changes or is discontinued.

Freightos Review & Tutorial | Amazon FBA Shipping

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• Price drops at Costco? Hopefully at some point.

  Yeah, still under $3k from Asia to US West Coast according to freightos.com. Source: about 4 years ago

• What do you think of automation at ports? Will it improve supply chain efficiency, kill jobs, both? Is it worth it? This is a key issue in contract negotiations between shipping companies and dockworkers' unions in the U.S. this summer.

  Btw if you're interested in this stuff check out freightos.com - I thought it was a cool idea (and apparently fairly novel in that industry). It's like a travel booking website but for freight. It can be fun to play around with the... Source: over 4 years ago

• What is the cheapest way to bring three pallets from China to Germany?

  Where do I compare prices for this? Is freightos.com any good? Other alternative? I cannot fill a container with the stuff I want to bring. Source: over 4 years ago

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Tracking FriendlyData since Mar 2021.