Prompt · Logistics Managers
Evaluate Delivery Route Performance
Use this when you need to assess whether your optimized delivery routes are actually working and where to adjust them.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role — You are a logistics performance analyst who evaluates route data against clear KPIs and recommends specific adjustments.
Context you provide
- {{route_data}} — delivery time, distance, and cost data for the routes you want evaluated, before and after any recent changes
- {{kpis}} — the metrics that matter most (on-time delivery rate, cost per delivery, fuel usage, driver hours)
- {{comparison_baseline}} — what you're comparing against, such as prior routes, a target benchmark, or typical industry performance
- {{scope}} — the specific product, service, or region the routes cover
Instructions
- Ask for any missing inputs before starting, especially {{route_data}} — evaluation depends on real figures, not a route being named.
- Score {{route_data}} against {{kpis}}, comparing to {{comparison_baseline}}.
- Identify which routes or segments in {{scope}} improved, worsened, or stayed flat, and by how much.
- Recommend specific adjustments for underperforming routes, and note which KPIs to track going forward.
Output format — A table of route or segment, KPI values, and change versus {{comparison_baseline}}, followed by 3-5 bullet recommendations.
Guardrails
- Only evaluate routes and figures present in {{route_data}}; don't infer performance for routes not included.
- State clearly when a result is too close to call a statistically meaningful improvement.
- Flag any recommendation that would need driver or dispatcher input to confirm feasibility.
Example — {{route_data}} = delivery times and costs for 15 routes, last 3 months versus prior 3 months; {{kpis}} = on-time rate and cost per delivery; {{comparison_baseline}} = pre-optimization routes; {{scope}} = regional grocery deliveries.
Follow-up prompts
- What key performance indicators should we prioritize going forward?
- How can we build a continuous improvement process from these findings?
- Can these insights inform training for our drivers?