28 MT GVW class · n = 9,937 vehicles · empirical fit + parametric overlay
— vehicles in selection
Filter the cohort
Cohort statistics
Mean
—kg
Std dev
—kg
CV
—%
P10 – P90
—kg
Empirical histogramNormal fit (μ, σ)Percentile guidesYour 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.