Express courier. Direct.
Also overnight.
x25pronto Switzerland takes goods direct to the destination. Small loads go by car. Larger loads go by van or Van XL. Direct, express and overnight trips run Monday to Sunday when a slot is free. Free times are shown in the booking calendar. This keeps the plan clear.
Pilot report template: KPI dashboard for courier tests
A practical KPI dashboard template with formulas, charts and reporting intervals to evaluate courier pilot runs in Zurich, Basel or Geneva.
Quick answer
This pilot report template gives a KPI dashboard to quickly evaluate courier test runs for Swiss companies. It lists the key KPIs, exact formulas, visualization ideas and recommended reporting intervals for post-pilot decisions.
Purpose of the dashboard
The dashboard summarizes performance from a courier pilot. The aim is to help teams decide whether to scale the service. It measures service quality, efficiency and cost. Use it in procurement, operations and logistics teams in Zurich, Basel or Geneva to make results comparable.
Recommended KPIs and formulas
1) Delivery Success Rate (%) = (Number of successful deliveries / Number of planned deliveries) × 100. 2) On-time Rate (%) = (Deliveries within agreed time window / Total deliveries) × 100. 3) Average Delivery Time (min) = Sum(Delivery end time − Pickup time) / Number of deliveries. 4) Cost per Delivery (CHF) = Total pilot costs / Number of deliveries. 5) Return Rate (%) = (Number of returns / Total shipments) × 100. 6) Damage Rate (%) = (Number of damaged shipments / Total shipments) × 100.
Visualizations and layout
Place a summary card at the top showing total cost, delivery success and on-time rate. On the left use a bar chart for cost per delivery over time. On the right use a line chart for average delivery time per day. At the bottom add a heatmap for time slots with most delays and a donut chart for damage vs return rates. Use colour coding: green for acceptable, yellow for warning, red for action needed.
Reporting intervals and granularity
Pick intervals by pilot length. For pilots under 2 weeks: daily reporting. For 2–8 weeks: twice-weekly updates plus weekly summary. For pilots over 8 weeks: weekly reports and monthly trend analysis. Keep shipment-level granularity for root-cause analysis and aggregate by day/week for management.
Data sources and validation
Use driver scan timestamps, booking and billing data, and customer reports for condition notes. Validate timestamps with GPS logs and scan history. Flag missing or duplicate records and clean data before calculating KPIs. Keep a 'manual correction' field for exceptions.
Action triggers and decisions
Define triggers tied to KPIs: e.g. On-time Rate < 90% for three consecutive days → root-cause analysis. Cost per Delivery up > 15% vs baseline → pricing and routing review. Damage Rate > 1% → check packing standards. Assign owners and deadlines for each trigger.
Frequently asked questions
Which tools work well for the dashboard?
Excel or Google Sheets work for quick tests. Power BI or Tableau fit interactive analysis. Use APIs from booking or driver apps for automated imports.
How many shipments do I need for meaningful results?
About 100–200 shipments usually provide enough data for basic KPIs. For stable trends, run the pilot for several weeks with regular volumes.
How should I treat outliers in delivery times?
Flag outliers and analyze them separately. Remove extremes only after documenting the cause. Use median instead of mean to reduce bias.
How to include customer feedback in the dashboard?
Add a customer feedback score (NPS or 1–5 satisfaction). Link scores to shipment IDs to spot patterns, such as repeated complaints on the same routes.