Logistics KPI & Performance Analytics Process

Optimize your supply chain efficiency with our Logistics KPI & Performance Analytics Process. Streamline end-to-end visibility, track critical delivery metrics, and transform raw logistics data into actionable, real-time insights to drive operational excellence and reduce costs.

Старт
1. Fetch Monthly Shipping Logs
2. Fetch Operational Costs
3. Calculate Average Delivery Time
4. Calculate Total Operational Cost
5. Calculate Order Accuracy Rate
6. Calculate Cost Per Delivery
7. Calculate Delivery Margin
8. Create KPI Monthly Summary
9. Assign Performance Review Task
10. Trigger Incident Investigation
11. Generate Monthly KPI Dashboard
12. Send Monthly KPI Summary to Stakeholders
13. Alert Fleet Manager of Critical Delay
14. Update Monthly Target Status
Край

Начало на работния поток/процеса.

Retrieve all completed delivery entries from the Logistics Data Model for the current month.

Retrieve all fuel, labor, and maintenance cost entries from the Expenses Data Model.

Calculate the average duration between 'Order Placed' and 'Delivered' timestamps from shipping entries.

Sum all cost entries (fuel, labor, maintenance) to get total monthly expenditure.

Calculate the percentage of orders with zero 'Damaged' or 'Incorrect' flags against total orders.

Divide Total Operational Cost by the total number of successful deliveries.

Subtract Total Operational Cost from Total Revenue collected from deliveries.

Create a new entry in the 'Monthly Performance Report' data model containing the calculated KPIs.

Create a task for the Logistics Manager to review the monthly variance report.

Create a task for the Fleet Supervisor if the 'Damage Rate' exceeds the predefined threshold.

Generate a visual report summarizing the performance trends for the management team.

Send an automated email to the Executive Team with the summary of key metrics.

Send an SMS alert to the Fleet Manager if the 'Average Delivery Time' increases by >15%.

Update the 'Target vs Actual' entry in the Strategic Goals data model based on current performance.

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