Route Optimization Simulator
See how much time, fuel, and cost you're wasting with your current routing โ in under 60 seconds.
Free Tool
ยทMost companies underestimate delivery cost by 20โ40%What's your true cost per delivery? Enter your fleet, salary, and fuel data โ get an instant cost breakdown with benchmark comparison, top improvement levers, and what-if scenarios.
Includes driver, fuel, vehicle, maintenance, idle time, and failed delivery costs โ the full picture most operations teams never see.
Your Fleet
Costs
Switch to Advanced for idle time, failed deliveries & vehicle costs
From calculation to continuous improvement
This calculator models the cost patterns we see across hundreds of delivery and field operations teams. Dynamics Mobile helps companies reduce cost per delivery through continuous route optimisation, real-time execution management, and Microsoft Dynamics 365 integration โ so you do more deliveries per route, with less idle time and fewer failed attempts.
See how much time, fuel, and cost you're wasting with your current routing โ in under 60 seconds.
Simulate a real delivery or field service day and see where cascade delays break your operation.
For European SME last-mile operations, a benchmark of โฌ3.00โโฌ4.00 per delivery is considered efficient. Urban same-day operations typically run higher (โฌ6โโฌ10+) due to traffic and density constraints. The most important metric is not the absolute cost but the trend โ and how it compares to your industry peer group. Costs above โฌ6.00 per delivery in standard B2B distribution usually indicate route density or utilisation issues.
Driver salary typically accounts for 40โ55% of total delivery cost, making it the single largest lever. Fuel cost (15โ25%) is the second biggest driver and highly sensitive to route distance. Vehicle depreciation and maintenance add another 15โ25%. The 'hidden' costs โ idle time, failed deliveries, and re-attempts โ are often underestimated but can add 10โ20% on top.
Route optimisation reduces cost per delivery through two main mechanisms: (1) Distance reduction โ optimised routes typically cut total km by 15โ25%, directly reducing fuel and maintenance cost. (2) Stop density improvement โ fitting more stops into the same route spreads fixed driver cost across more deliveries. A combined 20% distance reduction and 5 extra stops per route can reduce cost per delivery by 25โ35% without adding any vehicles.
A failed delivery that requires a re-attempt effectively adds 60โ100% of a normal delivery cost with zero revenue. At a 5% failure rate with 80 deliveries/day, that's 4 re-attempts daily โ equivalent to losing โฌ50โโฌ200 in daily capacity depending on your cost profile. SMS notifications, time-window optimisation, and proof-of-delivery workflows typically halve re-delivery rates within the first month.