How TruPrice Calculates Used Car Fair Value in Pakistan
Three stages combine to produce Pakistan's most accurate used car price estimate — trained on real Pakistan car market data, adjusted for condition and negotiation reality.
XGBoost Market Price
An XGBoost model trained on real Pakistan car market listings predicts the market asking price for any make, model, variant, year, mileage, assembly, and city. This is Stage 1 — what the market would list the car at, before negotiation or condition.
Age-Relative Condition
Vehicle inspection scores (0–100 per section) are compared against age and category par scores — not fixed thresholds. An 80% engine score is Excellent on a 12-year-old Mehran but only Fair on a new Civic. Each section below par triggers a discount from the baseline price.
Market-Aware Negotiation Buffer
Pakistan's negotiation dynamics are baked in. SUVs sell close to asking price; older economy hatchbacks have much more room. The buffer adapts to both car category and age bracket — deducted from the asking price to get the transaction baseline before condition discounts.
The Inspection System
8 inspection sections, each scored 0–100. Condition is always relative to par score = what a car of this age and category is expected to score.
Deviation → Condition
deviation = actual_score − par_score
Thresholds tighten for newer cars (higher pars) and loosen for older ones.
Section Discount Rates
Applied to the transaction baseline. Maximum combined discount is 31%.
What Makes TruPrice Different
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