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.
KPI dashboard for courier pilots: templates and metrics
A practical weekly KPI dashboard template for courier operations. Fields, charts and thresholds for quick decisions in Zurich, Basel or Geneva.
Quick answer
A KPI dashboard gives dispatchers the key numbers at a glance: on‑time delivery, utilization, km per run and cancellation rate. The template below for Excel or Google Sheets lists fields, visualizations and thresholds for a weekly overview so you can make fast operational decisions.
Why a weekly dashboard?
Courier operations in Switzerland need fast, clear information. A weekly dashboard shows trends earlier than monthly reports. You can spot falling on‑time rates or rising cancellations and act before issues grow.
Core metrics and definitions
Pick a few meaningful KPIs. Suggested set: - On‑time delivery (%): on‑time deliveries divided by planned deliveries. - First‑attempt success (%): deliveries completed on first attempt. - Utilization (%): used vehicle capacity vs available capacity. - Average run time (min): time from departure to return. - Kilometres per run (km): distance per job. - Cancellation rate (%): cancelled orders. - Complaints (count): reported service issues. Formulas work with SUM, AVERAGE, COUNTIFS and basic percent calculations in Excel/Sheets.
Template: fields for Excel / Google Sheets
Create a 'RawData' sheet with columns: Date, OrderID, PickupCity, DeliveryCity, DriverID, Vehicle, PlannedDeparture, ActualDeparture, PlannedDelivery, ActualDelivery, Kilometres, Status (delivered/cancelled/rerouted), Complaint (yes/no). Add a 'Dashboard' sheet that summarizes KPIs using Pivot tables or SUMIFS/COUNTIFS.
Visualizations and thresholds
Use simple charts: line chart for on‑time delivery over weeks, bar chart for utilization per driver, pie for status distribution. Define traffic‑light thresholds for quick reading: Green ≥95% on‑time, Yellow 90–95%, Red <90%. For utilization: Green 70–85%, Yellow 50–70% or >85% (overload), Red <50%.
Quick checks for decision making
Make the dashboard answer three practical questions: 1) Does an area need extra capacity today? (high order density + falling on‑time) 2) Are delays linked to a driver or vehicle? (driver/vehicle trend) 3) Are cancellations clustered at a route or customer? (filter by delivery city) If yes, respond with targeted reallocation, short‑term backup or customer contact.
Implement in 30–60 minutes
Start with raw data from the last four weeks. Build pivot tables and three charts. Add conditional formatting for traffic lights. Run the dashboard one week and tune thresholds to local conditions, e.g. city traffic in Zurich vs rural Valais runs.
Frequently asked questions
How often should raw data be updated?
Daily, ideally automated via export from your booking or TMS system. For weekly decisions a daily morning update is sufficient.
Can thresholds be adapted by site?
Yes. Adjust traffic lights for on‑time delivery and utilization to local constraints such as commuter traffic or route length.
Which charts are most useful for management meetings?
A line chart for trends, a bar chart for driver performance and a heatmap or map for geographic hotspots.
Are there data protection considerations?
Yes. Handle driver and customer data under Swiss DSG. Limit personally identifiable fields in shared dashboards and use encryption where required.