Delivery KPIs Issue

When working with incomplete datasets, missing data for KPIs can often be supplemented or derived using estimations, proxy data, or by redefining the KPI based on available data. Below are some suggestions to address the specific challenges:

1. Customer Satisfaction Score (CSAT)

Problem: No explicit column for customer feedback.

Solutions:

  • Proxy Approach: If customer feedback data is unavailable, use delivery timeliness as a proxy for satisfaction. For instance, deliveries marked "On-Time" (based on delivery duration vs SLA) can be treated as "Satisfied."

  • Add a Placeholder: Create a synthetic column to simulate customer ratings (e.g., randomly generated ratings between 1–5 or 0–1 for demo purposes). Clearly document that this is a placeholder.

2. Delivery Issues per 100 Deliveries

Problem: No explicit column for delivery issues.

Solutions:

  • Proxy Measure: Use late deliveries as a proxy for "delivery issues."

  • Augment Data: If you have a list of customer complaints or courier-reported issues in separate datasets, merge them into the main dataset.

  • Placeholder Column: Add a binary column delivery_issue to flag problematic deliveries based on predefined criteria, such as:

    • Late deliveries.

    • Significant deviations in GPS data.

    • Large pickup-to-delivery distance.

3. Delivery Cost per Region

Problem: Delivery cost is not explicitly stated in the data.

Solutions:

  • Estimation by Region: Use average distance traveled or delivery time as proxies to estimate delivery cost. Assume a fixed cost per kilometer or per minute.

    • For example, if GPS coordinates are available, calculate distances using the Haversine formula.

  • Add External Data: If possible, obtain cost data from financial systems or records and integrate it into your dataset by matching region IDs.

  • Standardized Cost Assumptions: Assign flat costs per region based on historical trends or known operational expenses.

If these adjustments sound appropriate, we can assist in implementing the proxy metrics or creating placeholder columns to proceed with your dashboard development.

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