Payload Variance Simulator
28 MT GVW class · n = 9,937 vehicles · empirical fit + parametric overlay
— vehicles in selection

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Cohort statistics

Mean
kg
Std dev
kg
CV
%
P10 – P90
kg
Empirical histogram Normal fit (μ, σ) Percentile guides Your payload

Cost economics

Translates the payload distribution into per-MT economics. Both modules use your declared payload from the panel above as the baseline; cohort P25/P50/P75 show what would happen if your truck loaded like the lower-quartile, median, or upper-quartile vehicle in the same selection.

Module 01 · Trip-based costing

A → B trip cost effective ₹/MT
For a fixed ₹/Trip lump sum, heavier payloads spread the same cost over more tonnage — so the effective ₹/MT drops. Your stated payload sets the baseline rate; cohort P25/P50/P75 show what your effective ₹/MT would be at those utilization levels.
Enter a trip cost above and a payload in the "Score your truck" panel.

Module 02 · Contract-rate costing

₹/MT contract fixed-cost drag
A ₹/MT contract rate looks payload-agnostic on paper, but fixed costs (EMI, driver, insurance) are per-trip lump sums — they amortize over the MT actually carried. Heavier truck = same fixed cost spread over more MT = smaller drag on the contract rate. Enter fixed cost as ₹/MT at your baseline payload (e.g. 1,250 if it's roughly half your contract rate at this load).
Enter contract rate, fixed cost ₹/MT, and a payload to amortize over.
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