Logistics

Tailor-Made for Your Needs with Real-Time Insights on Evolving Networks:

• Get a granular view of your geofences that gets updated in real-time. Automatically detect depots, even with small datasets. Say goodbye to manual mapping while retaining data enrichment flexibility.
• Identify key milestones and take action when necessary. Answer questions in seconds: “How much time does it take to go through different border crossings in South-East Asia?”, "Are my subcontractors following the paid toll routes?"
• Precisely track your assets' routes, evaluate usage, and catch deviations causing delays and damage. Unearth your network's operational secrets, laying the foundation for optimization.

Cost Efficiency at Its Best:

• Spot delay-prone locations, understand your subcontractor costs optimization, and adapt your procurement process accordingly.
• Maximize Asset Utilization: Analyze asset usage trends and identify underutilized resources to optimize your capital expenditure. ​Check our whitepaper here

Control Tower Statistics: Leverage real-time statistics.

• Visibility and Advanced ETAs: Customize your estimated time of arrival (ETA). Pathway adapts to dynamic transport conditions.
• IoT-Driven Insights
• Shocks and Vibrations: Automatically assess risks on different routes, adapt decisions, and safeguard your cargo.
  • Temperature Monitoring: Ensure the freshness of temperature-sensitive goods (pharmaceuticals, perishable goods, etc.) with real-time monitoring and anomaly detection.
  • Route Anomalies: Detect unexpected route changes that affect cargo susceptibility to damage and contractual clauses with your end-clients.​
• Benchmarking: Benchmark operators, subcontractors, and environmental performance effortlessly. Monitor key metrics and costs, providing actionable insights. Optimize fuel consumption and reduce CO2 emissions with data-driven route and operation analysis. Find routes with the highest benefit from operational and behavior changes.

Effortlessly Optimize Your IoT Device Deployment:

Already deployed IoT devices? Automatically identify malfunctioning and badly-configured sensors to avoid operational disruptions and detect anomalies that would have been difficult to detect by simple data exploration, saving you time and resources.

Answer critical questions in a few seconds:

• Does the stream of IoT data I receive correspond to the SLAs from our telemetry vendors?
• How can I easily detect redundant data points from vendors effortlessly.
• How can I improve my device management and device lifecycle?
• Can I identify any new revenue streams based on the data I am collecting?

Maximize IoT Procurement Strategy:

Assess the performance of various sensors based on real-world data, anticipated scenarios and expected business outcomes. Make informed decisions based on sensor performance, deployment costs, and maintenance costs.

Questions to Ponder:

• “I’ve talked to Telemetry Vendor Manul, the devices have some very cool features but is it an overshoot?”
• “I have been introduced to devices that automatically turn on and off based on their location, would this be reliable for my processes?”

Proactively Minimize Risks:

Identify potential cargo damage with precision, including temperature fluctuations, shocks, vibrations, and route deviations, and where it happened easily.

Review suspicious patterns:

Detect suspicious stops and facilitate your internal investigations into incidents doing real-time anomaly detection.

SLAs:

Push an alert when the accumulated risks of the process indicate that a breach of SLA is likely to happen. Renegotiate contract proactively based on observed patterns.

Real-time Data Processing:

• React instantly to new data with Pathway's real-time processing capabilities, ensuring your cargo's safety and on-time arrival.
• Ensure business-critical metrics, such as Estimated Time of Arrival (ETA) remain accurate even when data points arrive out-of-order. Read CMA CGM client success story, Pahway partners with CMA CGM to improved significantly the precision of container gate-out ETAs (Estimated Time of Arrival).
• Pathway excels in real-time logistics applications, unlike other streaming frameworks ill-equipped for geospatial data and graphs. Open-source geospatial libraries, designed primarily for batch processing, struggle in dynamic settings, making Pathway the superior choice for real-time use cases.

Unparalleled Flexibility and Usability:

• Pathway stands out by allowing you to combine historical (batch) and real-time (streaming) data effortlessly. This unique capability ensures your operational teams always have access to the latest insights, ultimately boosting your bottom line.
• No Specialized Skills Required: Pathway minimizes the need for advanced specialist skills. It's designed for users familiar with the Python/Pandas/scikit data stack, making it accessible and user-friendly. Possibility to integrate end-to-end with an interactive visualization application.