Portcast’s Logistics KPI Dashboard is a planning-centric, data-driven analytics interface that gives you detailed insights into dwell time and transit time performance for the containers in your org. This dashboard helps logistics teams:

• Identify underperforming carriers or ports with excessive delays.
• Improve ETA accuracy by understanding systemic lag points.
• Support procurement and planning decisions with objective, route-specific performance data.
• Drive accountability through clear, visual metrics and historical benchmarks.

The Logistics KPI dashboard is ideal for Logistics & Operations Teams seeking to optimize shipping performance; Procurement Teams evaluating carrier contracts and SLAs; Supply Chain Analysts looking for granular, data-backed insights; and Freight Forwarders who want to improve planning and customer transparency.

Screenshot of a view of the Logistics KPI dashboard, including Transit Time and Delay insights around most relevant lanes for the active Org. Includes top and bottom performing lanes, as well as historical evolution of reliability and transit time difference performance.

What data can be accessed using the Logistics KPI dashboard?

The Logistics KPI dashboard currently focuses in two specific key areas of historical data based on the customer Org’s tracked containers:

• Transit Time / Delay analysis
• Dwell Time analysis

These two key areas are accessed via different tabs on top of the page. Once you click on any of them, you will have access to specific key metrics and visualizations relative to the selected metric.

Transit time and Delay analysis

Portcast’s Logistics KPI delivers Org-specific information on how much time each container spends in its journey, from origin to destination. For each container tracked in the Portcast platform, we measure:

• the voyage time between origin and destination based on container milestones, and how it compares with the originally planned voyage time.
• the delay observed at departure and at destination, how it compares with the original ETA, and how many containers were affected by delay.