Dashboard-V

Dashboard 5 - Delivery Dataset

Problem Statement:

Analyze courier efficiency and environmental impact to identify trends and propose actionable steps for improving delivery operations.

Objective:

  1. Monitor courier performance across different regions and cities.

  2. Evaluate environmental impact using estimated CO₂ emissions.

  3. Identify areas for operational cost reduction and efficiency improvement.

KPIs:

  1. Average Delivery Time:

  2. Courier Efficiency (Orders per Courier):

  3. Estimated CO₂ Emissions:

  4. Delivery Accuracy (Geospatial):

    • Percentage of deliveries completed within a predefined geofence.

Filters and Slicers:

  1. City, Region, and AOI Type.

  2. Date Range (for trends over time).

  3. Courier ID (for individual performance).

  4. Distance Buckets (e.g., 0-5 km, 5-10 km).

Dashboard 5 - Pickup Dataset

Problem Statement:

Identify delays and inefficiencies in the pickup process to improve customer satisfaction and reduce operational costs.

Objective:

  1. Monitor pickup delays and adherence to time windows.

  2. Evaluate courier utilization for pickups across regions.

  3. Analyze peak time window adherence trends.

KPIs:

  1. Time Window Adherence Rate:

  2. Average Pickup Time:

  3. Courier Utilization Rate:

  4. Late Pickup Percentage:

    Explanation:

    • Number of Pickups After Time Window End: The count of all pickups that occurred after the defined time window ended.

    • Total Number of Pickups: The total count of pickups made, including both on-time and late pickups.

    • Multiply by 100: Converts the result into a percentage for easier interpretation.

Filters and Slicers:

  1. City, Region, and AOI Type.

  2. Time Window Buckets (e.g., 8-10 AM, 10-12 PM).

  3. Courier ID.

  4. Late/Early Flag (e.g., pickups marked as late).

Steps for Implementation:

  1. Data Preparation:

    • Calculate the time differences for delivery and pickup times.

    • Derive additional fields like distance and geospatial accuracy.

    • Normalize data for courier IDs, regions, and time windows.

  2. Visualization Design:

    • Use bar charts for regional comparisons.

    • Implement line graphs for trend analysis over time.

    • Add KPIs in the header for quick reference.

  3. Interactivity:

    • Enable slicers for real-time filtering by city, region, and courier ID.

    • Add drill-through pages to dive into individual courier or region performance.

PreviousDelivery KPIs IssueNextDashboard-VI

Last updated