CargoHub- A Cargo Analytics Platform for Smarter Cargo Decisions
One platform. One intelligence layer. Multiple logistics outcomes.
- CargoHub is a cargo analytics platform that helps logistics, shipping, and supply chain teams turn cargo records into clear insights and early risk signals. It brings dashboards, predictive risk scoring, explainability, compliance checks, and team feedback into one place so decisions are faster and more consistent.
Why Logistics Teams Choose CargoHub
Most teams do not struggle because they lack shipment data. They struggle because data is hard to interpret quickly, and risk only becomes visible after delays or exceptions have already happened. This creates firefighting, slow root-cause analysis, and uneven decision making across teams. Without a centralized cargo analytics platform, risk often surfaces too late.
CargoHub solves this by acting as a centralized analytics layer for historical and near real-time cargo datasets. It supports high-level summaries for leadership and deeper investigation views for operations and analysts.
Common challenges CargoHub eliminates
- Raw shipment data that takes too long to turn into usable insights
- Missed patterns in delay frequency, delivery time, and route performance
- Late identification of high-risk shipments that need early intervention
- Low clarity on why a record is flagged and what drives the risk
- Manual HS and UNDG checks slowing down compliance workflows
One Platform. Multiple Analytics Capabilities.
CargoHub is designed as a logistics analytics platform which acts as a horizontal intelligence layer that ingests cargo data and turns it into dashboards, summaries, and predictive outputs. It combines statistical insights, anomaly detection, and machine learning models so teams can monitor performance and focus on the exceptions that matter.
Core Analytics Capabilities
Data Insights
Converts raw shipment data into visual and statistical insights, including delivery time, shipment volume, on-time rate, delay frequency, and anomaly signals.
Overall Summary
Generates a natural-language summary of the uploaded dataset, highlighting total shipments processed, performance movement over time, and key segments that are performing well or falling behind.
Risk Prediction
Shipment risk analytics help teams prioritize intervention before small issues turn into service failures. Applies machine learning models to predict delivery risk and output risk scores per shipment.
Feature Analysis
Explains model outcomes by showing which features influenced a prediction most, helping users understand why a shipment looks risky and what variables are driving that result.
Comments and Feedback
Allows users to annotate rows and findings with comments that are saved with the dataset, creating a practical feedback loop for validation and future improvement.
Key Use Cases Powered by CargoHub
Data Insights
CargoHub gives teams a working dashboard view of what is happening across shipments, routes, and delays so they can spot drift early.
Performance metrics at glance
Average delivery time, shipment volume, on-time rate, delay frequency, and trend patterns.
Anomaly and outlier detection
Highlights unusual records using anomaly scoring and combined outlier views.
Filtering for faster investigation
Risk Prediction
CargoHub helps teams predict which shipments are most likely to run into issues, then prioritize action based on criticality.
Risk scores per shipment
Ranks records by likelihood of risk so effort is directed where it matters.
Overlap and criticality views
Early intervention support
Flags high-risk entries for follow-up before service levels are impacted.
Feature Analysis and Compliance
CargoHub supports confident decisions by pairing explainability with practical validation tools.
Explainable driver views
See which factors most influenced a specific risk prediction, record by record.
HS code validation
Search and validate HS codes linked to cargo descriptions to improve standardization.
UNDG code checks
Confirm UNDG codes to support dangerous goods obligations and safety workflows.
Built for Teams That Need Clarity, Not More Reports
- Operations Teams
Monitor delivery performance, isolate delay patterns, and focus on exceptions that need action.
- Risk and Compliance Teams
Strengthen cargo classification workflows with HS and UNDG validation and better traceability.
- Analytics Teams
Investigate drivers, validate model behavior, and use comments to improve future outcomes.
- Leadership Teams
Get readable summaries and quick status views without needing a technical deep dive.
Why Predictive Cargo Analytics Delivers Higher ROI
- Faster detection of anomalies and underperforming segments
- Better prioritization through risk scoring and criticality ranking
- More confident decisions with explainable feature drivers
- Reduced manual compliance effort through HS and UNDG checks
CargoHub Impact Snapshot
- Faster insight generation by converting shipment records into dashboards and summaries
- Earlier risk detection by flagging high-risk shipments before issues escalate
- Better investigations through explainable feature analysis and driver visibility
- Stronger collaboration with saved comments and structured feedback loops
One Cargo Intelligence Platform. Measurable Supply Chain Impact.
CargoHub unifies data insights, risk prediction, explainability, compliance checks, and feedback into one platform, helping logistics teams improve performance without adding analysis complexity. This cargo analytics platform helps teams improve performance without adding analysis complexity.