Logistic KPI reporting dashboards

Purpose

1. Automate the collection, aggregation, and visual reporting of logistics KPIs for scaffolding rental service operations, enhancing visibility into equipment movement, inventory levels, order fulfillment, delivery tracking, asset utilization, and turnaround time.

2. Automate early warnings, trend identification, SLA compliance detection, and actionable insights to reduce manual data handling and errors.

Trigger Conditions

1. New delivery or pickup order logged in ERP or WMS system.

2. Equipment checked in/out via RFID/barcode scan.

3. Inventory threshold met or breached.

4. Scheduled interval (e.g., daily, weekly) for KPI data pulls and dashboard refresh.

5. Anomalies detected in real-time data streams from IoT sensors on assets.

Platform Variants

1. Microsoft Power BI

• Dataset API: Automate data ingestion from ERP/WMS; schedule API refresh.
  

2. Tableau

• REST API: Automate dashboards update with fresh logistics KPIs.
  

3. Google Looker Studio

• Data Connector API: Automatedly pulls new records from backend warehouse systems.
  

4. AWS QuickSight

• Ingestion Pipeline: Automate metrics deletion/addition as warehouse events occur.
  

5. Qlik Sense

• Reload Task API: Automates periodic data reload for real-time logistics stats.
  

6. Databox

• Push API: Automate dashboard widgets update for on-time delivery KPIs.
  

7. Klipfolio

• REST Connector: Automated pulls of operational data from rental software.
  

8. Zoho Analytics

• Data Import API: Automate warehouse metrics syncing for logistics teams.
  

9. Domo

• Stream API: Automatedly syncs live equipment tracking and utilization rates.
  

10. Sisense

• Data Import REST API: Automates intake of route optimization results.
  

11. Google Sheets

• Apps Script: Automate periodic fetching and charting of operational KPIs.
  

12. Excel Online

• Office Scripts: Automate pivot and graphs update on schedule.
  

13. Monday.com

• Dashboard Widget API: Automated pulls of asset status for logistics teams.
  

14. Smartsheet

• Data Shuttle: Automates movement of logistic-related datasets for visualization.
  

15. Airtable

• Scripting Automation: Automates real-time updates on asset check-in/out logs.
  

16. SAP Analytics Cloud

• Data Import Service: Automates import jobs from SAP ERP logistics modules.
  

17. Oracle Analytics Cloud

• Data Flow: Automate ingestion from Oracle Logistic Management APIs.
  

18. IBM Cognos Analytics

• Data Module Refresh: Automates scheduled pulls from asset tracking systems.
  

19. Salesforce Analytics

• Einstein Analytics API: Automate delivery and rental duration stats upload.
  

20. Snowflake

• Stream Processing: Automates logistics event updates to analytical models.
  

Benefits

1. Automated reporting decreases manual errors and latency in decision-making.

2. Automation shortsens time-to-insight for logistics managers and executives.

3. Automated dashboards ensure real-time KPI monitoring and SLA tracking.

4. Automating anomaly detection facilitates rapid response in logistics bottlenecks.

5. Automatedly aggregates metrics from disparate sources, simplifying multi-site management in scaffolding rentals.