Who We Serve

A dedicated platform for:

Leverage AI-powered insights to navigate market volatility, optimize your strategy, and stay ahead of the curve.

Shipowners & Operators

Optimize routing, risk, and revenue with predictive voyage economics.

Charterers

Get real-time rate intelligence and port congestion updates.

Commodity Traders

Align trade flows with freight movement and shipping patterns.

Financial Institutions

Assess risk exposure with smarter shipping data.

Analysts & Consultants

Create stronger reports with integrated datasets.

Platform Capabilities

SoshiaConnect is your gateway to Soshianest’s predictive analytics platform — built for shipowners, charterers, commodity traders, financial institutions, and market analysts.

Market Rate Forecasting

AI-based prediction of freight rates across key trade routes.

Disruption Intelligence

Alerts on weather, strikes, congestion, and global risks (coming soon).

Subscription-Based Reports

Tailored reports by route, region, vessel type, and time range.

API Access & Automation

Seamless integration into your tools — automate decisions in real-time.

Analytics Dashboard

Visualize KPIs, trends, and risk zones from one command center.

Comparative Market Views

Compare vessel types, regions, and rates — side by side.

Why choose us

Why SoshiaConnect?

Built by maritime experts

With decades of trading and freight analytics experience

Flexible plans

For individuals, teams, and enterprises

Enterprise-grade reliability

With 99.9% uptime and secure access

Fully extensible

Via APIs, Excel plugins, and data feeds

How it works

Introduction and User Guide

Validation Period - Forecast vs. Actual Values Diagram

In order to ensure the accuracy of our predictions, we evaluate our models before publishing any predicted values. We conduct an evaluation test on the most recent [n periods*], during which we plot a diagram comparing the actual values to the predicted values using models for leads 1, 2, and 3 (shown on the left side of the diagram). You may click on the legend (under the diagram) to turn on/off each diagram to have a clearer comparison.

We report three upcoming values in four different periods of time and test the trained model on n recent models as below:

  • ✅ Weekly: n = 26 past weeks
  • ✅ Monthly: n = 24 past months
  • ✅ Quarterly: n = 20 past quarters
  • ✅ Annually: n = 5 past years

After comparing the actual values with predicted values from leads 1, 2, and 3 on the left side, we proceed to publish the forecasted values for the next three [periods] (as shown on the right side of the diagram). You may hover over each point to see its value.

*period can be Week/Month/Quarter/Annual

Validation Period - Forecast vs. Actual Values Diagram

In order to ensure the accuracy of our predictions, we evaluate our models before publishing any predicted values. We conduct an evaluation test on the most recent [n periods*], during which we plot a diagram comparing the actual values to the predicted values using models for leads 1, 2, and 3 (shown on the left side of the diagram). You may click on the legend (under the diagram) to turn on/off each diagram to have a clearer comparison.

We report three upcoming values in four different periods of time and test the trained model on n recent models as below:

  • ✅ Weekly: n = 26 past weeks
  • ✅ Monthly: n = 24 past months
  • ✅ Quarterly: n = 20 past quarters
  • ✅ Annually: n = 5 past years

After comparing the actual values with predicted values from leads 1, 2, and 3 on the left side, we proceed to publish the forecasted values for the next three [periods] (as shown on the right side of the diagram). You may hover over each point to see its value.

*period can be Week/Month/Quarter/Annual

Validation Period - Forecast vs. Actual Values Diagram

In order to ensure the accuracy of our predictions, we evaluate our models before publishing any predicted values. We conduct an evaluation test on the most recent [n periods*], during which we plot a diagram comparing the actual values to the predicted values using models for leads 1, 2, and 3 (shown on the left side of the diagram). You may click on the legend (under the diagram) to turn on/off each diagram to have a clearer comparison.

We report three upcoming values in four different periods of time and test the trained model on n recent models as below:

  • ✅ Weekly: n = 26 past weeks
  • ✅ Monthly: n = 24 past months
  • ✅ Quarterly: n = 20 past quarters
  • ✅ Annually: n = 5 past years

After comparing the actual values with predicted values from leads 1, 2, and 3 on the left side, we proceed to publish the forecasted values for the next three [periods] (as shown on the right side of the diagram). You may hover over each point to see its value.

*period can be Week/Month/Quarter/Annual

Validation Period - Forecast vs. Actual Values Diagram

In order to ensure the accuracy of our predictions, we evaluate our models before publishing any predicted values. We conduct an evaluation test on the most recent [n periods*], during which we plot a diagram comparing the actual values to the predicted values using models for leads 1, 2, and 3 (shown on the left side of the diagram). You may click on the legend (under the diagram) to turn on/off each diagram to have a clearer comparison.

We report three upcoming values in four different periods of time and test the trained model on n recent models as below:

  • ✅ Weekly: n = 26 past weeks
  • ✅ Monthly: n = 24 past months
  • ✅ Quarterly: n = 20 past quarters
  • ✅ Annually: n = 5 past years

After comparing the actual values with predicted values from leads 1, 2, and 3 on the left side, we proceed to publish the forecasted values for the next three [periods] (as shown on the right side of the diagram). You may hover over each point to see its value.

*period can be Week/Month/Quarter/Annual

Validation Period - Forecast vs. Actual Values Diagram

In order to ensure the accuracy of our predictions, we evaluate our models before publishing any predicted values. We conduct an evaluation test on the most recent [n periods*], during which we plot a diagram comparing the actual values to the predicted values using models for leads 1, 2, and 3 (shown on the left side of the diagram). You may click on the legend (under the diagram) to turn on/off each diagram to have a clearer comparison.

We report three upcoming values in four different periods of time and test the trained model on n recent models as below:

  • ✅ Weekly: n = 26 past weeks
  • ✅ Monthly: n = 24 past months
  • ✅ Quarterly: n = 20 past quarters
  • ✅ Annually: n = 5 past years

After comparing the actual values with predicted values from leads 1, 2, and 3 on the left side, we proceed to publish the forecasted values for the next three [periods] (as shown on the right side of the diagram). You may hover over each point to see its value.

*period can be Week/Month/Quarter/Annual

SoshiaConnect SaaS Software

Sneak Peek: Key Screens

Leverage AI-powered insights to navigate market volatility, optimize your strategy, and stay ahead of the curve.

Flexible Pricing Plans

Plans & Pricing

Try it free for 7 days*. No credit card required.

Starter

$49

The basic plan is perfect for small businesses and startups looking to get started.

What’s included:

  • Individuals, Analysts
  • 3 routes, dashboard access
  • No API
  • Free for 7 days
Professional

$99

Advanced plans are ideal for growing businesses with more complex needs.

What’s included:

  • Teams, SMEs
  • 10 routes, custom reports
  • Email alerts
  • Access to APIs
Enterprise

$149

A complete package for large companies that require comprehensive solutions.

What’s included:

  • Large orgs, Traders
  • Unlimited access, full API + priority SLA
  • Real-time Monitoring
  • Custom quote

Client Testimonial

Professional Services for Your Success

25%

Complete business faster than before

Since using our services, our team's productivity has increased significantly to save time and costs.

Jane Cooper

Marketing Manager

45%

Complete business faster than before

Since using our services, our team's productivity has increased significantly to save time and costs.

Jane Cooper

Marketing Manager

55%

Complete business faster than before

Since using our services, our team's productivity has increased significantly to save time and costs.

Jane Cooper

Marketing Manager

Join the SoshiaConnect Community

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Happy Clients

+73.K

4.8/5

Satisfaction Rating

The average score from customer satisfaction surveys that recommend your services to others.

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Coming Soon

Coming Soon: AI Disruption Alerts

Be the first to react. Our machine learning engine is soon launching live alerts for:

Port congestion surges
Sudden rate anomalies
Macro-market shocks
Weather-related supply chain risks