Logistics Fuel Cost API
Category: Supply Chain | Industry: Logistics & Transportation
Transportation costs directly impact supply chain profitability, with fuel representing 30-40% of freight operating expenses. OilPriceAPI provides real-time diesel, gasoline, and natural gas pricing data to help logistics companies optimize routing, manage carrier rates, and improve cost forecasting.
The Challenge
Logistics and supply chain operators face persistent fuel cost management challenges:
- Volatile fuel prices make freight rate negotiations difficult
- Fuel surcharge calculations lack transparency and accuracy
- Multi-modal operations require tracking various fuel types
- Route optimization needs fuel cost inputs for accurate modeling
- Contract pricing requires reliable market benchmarks
- Cost allocation across customers needs current fuel data
Without accurate, real-time fuel price data, logistics operators struggle to maintain profitability and provide competitive pricing to customers.
The Solution
OilPriceAPI delivers comprehensive fuel price data that integrates directly into transportation management systems (TMS), freight rate calculators, and supply chain planning tools.
Key Benefits
| Benefit | Impact |
|---|---|
| Real-time pricing | Accurate fuel cost inputs for rate calculations |
| Multiple fuel types | Diesel, gasoline, natural gas, and more |
| Historical data | Trend analysis for contract negotiations |
| API integration | Direct connection to logistics software |
| Cost transparency | Defensible fuel surcharge calculations |
Relevant API Endpoints
Get Current Fuel Prices
Retrieve the latest fuel prices for logistics cost calculations:
# Get current diesel price (primary logistics fuel)
curl "https://api.oilpriceapi.com/v1/prices/latest?by_code=DIESEL_USD" \
-H "Authorization: Token YOUR_API_KEY"
# Get multiple fuel types for multi-modal operations
curl "https://api.oilpriceapi.com/v1/prices/latest?by_code=DIESEL_USD,GASOLINE_USD,NATURAL_GAS_USD" \
-H "Authorization: Token YOUR_API_KEY"
Response:
{
"status": "success",
"data": {
"price": 3.42,
"formatted": "$3.42",
"currency": "USD",
"code": "DIESEL_USD",
"created_at": "2025-01-15T12:00:00.000Z",
"type": "spot_price"
}
}
Historical Price Data
Access historical data for trend analysis and contract negotiations:
# Past month of diesel prices with daily averages
curl "https://api.oilpriceapi.com/v1/prices/past_month?by_code=DIESEL_USD&interval=1d" \
-H "Authorization: Token YOUR_API_KEY"
# Past year for annual contract planning
curl "https://api.oilpriceapi.com/v1/prices/past_year?by_code=DIESEL_USD&interval=1w" \
-H "Authorization: Token YOUR_API_KEY"
Track Crude Oil for Forward Planning
Monitor upstream prices that drive fuel costs:
# Crude oil benchmarks
curl "https://api.oilpriceapi.com/v1/prices/latest?by_code=WTI_USD,BRENT_CRUDE_USD" \
-H "Authorization: Token YOUR_API_KEY"
Integration Examples
Transportation Management System Integration
Build fuel cost calculations into your TMS or freight management platform:
import requests
from datetime import datetime
from typing import Dict, List
class LogisticsFuelManager:
def __init__(self, api_key):
self.api_key = api_key
self.base_url = 'https://api.oilpriceapi.com/v1'
self.headers = {'Authorization': f'Token {api_key}'}
# Industry standard fuel efficiency rates (miles per gallon)
self.mpg_standards = {
'dry_van': 6.5,
'reefer': 5.8,
'flatbed': 6.2,
'tanker': 5.5,
'ltl': 7.0,
'sprinter_van': 14.0,
'box_truck': 10.0
}
def get_diesel_price(self) -> float:
"""Get current diesel price."""
response = requests.get(
f'{self.base_url}/prices/latest',
params={'by_code': 'DIESEL_USD'},
headers=self.headers
)
data = response.json()
return data['data']['price']
def calculate_lane_fuel_cost(self, distance_miles: float,
equipment_type: str = 'dry_van') -> Dict:
"""Calculate fuel cost for a specific lane."""
mpg = self.mpg_standards.get(equipment_type, 6.5)
diesel_price = self.get_diesel_price()
gallons_needed = distance_miles / mpg
fuel_cost = gallons_needed * diesel_price
cost_per_mile = fuel_cost / distance_miles
return {
'distance_miles': distance_miles,
'equipment_type': equipment_type,
'mpg': mpg,
'gallons_needed': round(gallons_needed, 2),
'diesel_price': diesel_price,
'total_fuel_cost': round(fuel_cost, 2),
'cost_per_mile': round(cost_per_mile, 3)
}
def calculate_fuel_surcharge(self, base_fuel_price: float,
distance_miles: float,
base_surcharge_per_mile: float = 0.0) -> Dict:
"""Calculate fuel surcharge based on current vs base fuel price."""
current_price = self.get_diesel_price()
price_difference = current_price - base_fuel_price
# Standard surcharge calculation: price difference * miles / mpg
standard_mpg = 6.0 # Industry standard for surcharge calculations
surcharge = (price_difference / standard_mpg) * distance_miles
# Alternative: per-mile surcharge based on price tiers
if current_price <= base_fuel_price:
tier_surcharge_per_mile = base_surcharge_per_mile
elif current_price <= base_fuel_price + 0.50:
tier_surcharge_per_mile = base_surcharge_per_mile + 0.05
elif current_price <= base_fuel_price + 1.00:
tier_surcharge_per_mile = base_surcharge_per_mile + 0.12
else:
tier_surcharge_per_mile = base_surcharge_per_mile + 0.20
return {
'base_fuel_price': base_fuel_price,
'current_fuel_price': current_price,
'price_difference': round(price_difference, 3),
'distance_miles': distance_miles,
'calculated_surcharge': round(surcharge, 2),
'tier_surcharge_per_mile': tier_surcharge_per_mile,
'tier_surcharge_total': round(tier_surcharge_per_mile * distance_miles, 2)
}
def estimate_shipment_fuel_cost(self, shipments: List[Dict]) -> Dict:
"""Estimate total fuel cost for multiple shipments."""
diesel_price = self.get_diesel_price()
total_miles = 0
total_gallons = 0
total_fuel_cost = 0
shipment_details = []
for shipment in shipments:
mpg = self.mpg_standards.get(shipment.get('equipment', 'dry_van'), 6.5)
miles = shipment['distance_miles']
gallons = miles / mpg
fuel_cost = gallons * diesel_price
total_miles += miles
total_gallons += gallons
total_fuel_cost += fuel_cost
shipment_details.append({
'shipment_id': shipment.get('id', 'unknown'),
'origin': shipment.get('origin', ''),
'destination': shipment.get('destination', ''),
'distance_miles': miles,
'fuel_cost': round(fuel_cost, 2)
})
return {
'diesel_price': diesel_price,
'total_miles': total_miles,
'total_gallons': round(total_gallons, 2),
'total_fuel_cost': round(total_fuel_cost, 2),
'average_cost_per_mile': round(total_fuel_cost / total_miles, 3) if total_miles > 0 else 0,
'shipments': shipment_details
}
def get_price_trend(self, days: int = 30) -> Dict:
"""Get fuel price trend for forecasting."""
endpoint = 'past_week' if days <= 7 else 'past_month' if days <= 30 else 'past_year'
response = requests.get(
f'{self.base_url}/prices/{endpoint}',
params={'by_code': 'DIESEL_USD', 'interval': '1d'},
headers=self.headers
)
data = response.json()
prices = [p['price'] for p in data['data']['prices']]
current = prices[0]
avg = sum(prices) / len(prices)
change = current - prices[-1]
change_pct = (change / prices[-1]) * 100
return {
'current_price': current,
'period_average': round(avg, 3),
'period_low': min(prices),
'period_high': max(prices),
'price_change': round(change, 3),
'change_pct': round(change_pct, 2),
'trend': 'rising' if change_pct > 2 else 'falling' if change_pct < -2 else 'stable',
'volatility': round((max(prices) - min(prices)) / avg * 100, 2)
}
# Usage example
logistics = LogisticsFuelManager('YOUR_API_KEY')
# Calculate fuel cost for a lane
lane_cost = logistics.calculate_lane_fuel_cost(
distance_miles=1500,
equipment_type='reefer'
)
print(f"Lane fuel cost: ${lane_cost['total_fuel_cost']}")
# Calculate fuel surcharge
surcharge = logistics.calculate_fuel_surcharge(
base_fuel_price=3.00,
distance_miles=1500
)
print(f"Fuel surcharge: ${surcharge['calculated_surcharge']}")
JavaScript/Node.js Freight Rate Calculator
class FreightFuelCalculator {
constructor(apiKey) {
this.apiKey = apiKey;
this.baseUrl = 'https://api.oilpriceapi.com/v1';
// Equipment fuel efficiency (MPG)
this.mpgRates = {
'dry_van': 6.5,
'reefer': 5.8,
'flatbed': 6.2,
'tanker': 5.5,
'ltl': 7.0,
'sprinter': 14.0
};
}
async getDieselPrice() {
const response = await fetch(
`${this.baseUrl}/prices/latest?by_code=DIESEL_USD`,
{
headers: { 'Authorization': `Token ${this.apiKey}` }
}
);
const data = await response.json();
return data.data.price;
}
async calculateFreightRate(params) {
const {
distanceMiles,
equipment = 'dry_van',
baseRatePerMile,
baseFuelPrice = 3.00
} = params;
const currentDieselPrice = await this.getDieselPrice();
const mpg = this.mpgRates[equipment] || 6.5;
// Base freight calculation
const baseCost = distanceMiles * baseRatePerMile;
// Fuel cost calculation
const gallonsNeeded = distanceMiles / mpg;
const fuelCost = gallonsNeeded * currentDieselPrice;
const fuelCostPerMile = fuelCost / distanceMiles;
// Fuel surcharge (difference from base)
const fuelSurcharge = ((currentDieselPrice - baseFuelPrice) / 6.0) * distanceMiles;
return {
distanceMiles,
equipment,
dieselPrice: currentDieselPrice,
baseCost: Math.round(baseCost * 100) / 100,
fuelCost: Math.round(fuelCost * 100) / 100,
fuelSurcharge: Math.max(0, Math.round(fuelSurcharge * 100) / 100),
totalRate: Math.round((baseCost + Math.max(0, fuelSurcharge)) * 100) / 100,
breakdown: {
baseRatePerMile,
fuelCostPerMile: Math.round(fuelCostPerMile * 1000) / 1000,
totalPerMile: Math.round((baseCost + Math.max(0, fuelSurcharge)) / distanceMiles * 1000) / 1000
}
};
}
async calculateMultiStopRoute(stops) {
const dieselPrice = await this.getDieselPrice();
let totalMiles = 0;
let totalFuelCost = 0;
const legs = [];
for (let i = 0; i < stops.length - 1; i++) {
const legMiles = stops[i].distanceToNext;
const mpg = this.mpgRates[stops[i].equipment || 'dry_van'];
const fuelCost = (legMiles / mpg) * dieselPrice;
totalMiles += legMiles;
totalFuelCost += fuelCost;
legs.push({
from: stops[i].location,
to: stops[i + 1].location,
miles: legMiles,
fuelCost: Math.round(fuelCost * 100) / 100
});
}
return {
dieselPrice,
totalMiles,
totalFuelCost: Math.round(totalFuelCost * 100) / 100,
averageCostPerMile: Math.round((totalFuelCost / totalMiles) * 1000) / 1000,
legs
};
}
async getBenchmarkData() {
const response = await fetch(
`${this.baseUrl}/prices/past_month?by_code=DIESEL_USD&interval=1d`,
{
headers: { 'Authorization': `Token ${this.apiKey}` }
}
);
const data = await response.json();
const prices = data.data.prices.map(p => p.price);
return {
current: prices[0],
monthAverage: Math.round(prices.reduce((a, b) => a + b, 0) / prices.length * 1000) / 1000,
monthLow: Math.min(...prices),
monthHigh: Math.max(...prices),
trend: prices[0] > prices[prices.length - 1] ? 'rising' : 'falling'
};
}
}
// Calculate freight rate with fuel
const calculator = new FreightFuelCalculator(process.env.OILPRICE_API_KEY);
const rate = await calculator.calculateFreightRate({
distanceMiles: 1200,
equipment: 'reefer',
baseRatePerMile: 2.50,
baseFuelPrice: 3.00
});
console.log(`Total freight rate: $${rate.totalRate}`);
console.log(`Fuel surcharge: $${rate.fuelSurcharge}`);
Use Cases
1. Automated Fuel Surcharge Calculations
Calculate and update fuel surcharges automatically based on current market prices, ensuring accurate and defensible customer billing.
2. Lane Cost Analysis
Evaluate true lane profitability by incorporating real-time fuel costs into rate calculations for specific origin-destination pairs.
3. Carrier Rate Negotiations
Use current and historical fuel price data to negotiate fair rates with carriers based on transparent market benchmarks.
4. Route Optimization
Factor fuel costs into routing decisions to minimize total transportation cost, not just distance or time.
5. Customer Quoting
Generate accurate freight quotes by including real-time fuel cost estimates rather than outdated averages.
6. Budget Forecasting
Use price trends and volatility data to create more accurate transportation budget forecasts.
ROI and Value Proposition
| Metric | Typical Improvement |
|---|---|
| Fuel surcharge accuracy | +25% improvement vs. monthly averages |
| Quote win rate | +10-15% with competitive, accurate pricing |
| Admin time reduction | 75% less time on manual fuel tracking |
| Margin protection | Faster reaction to fuel price changes |
For a logistics operation with $5M annual fuel spend, improved surcharge recovery and cost forecasting can add $100,000-250,000 in annual margin.
Customer Success Story
"Integrating OilPriceAPI into our TMS transformed our fuel surcharge process. We went from updating surcharges monthly to real-time calculations, which protected our margins during the volatile price swings and improved our customer relationships through transparent pricing."
-- [Customer Success Story Placeholder]
Getting Started
- Sign up at oilpriceapi.com/signup
- Get your API key from the dashboard
- Test fuel endpoints using the examples above
- Integrate with your TMS or freight management system
- Automate fuel surcharge calculations and cost tracking
Related Resources
- Diesel Price Data - Diesel documentation
- API Authentication Guide - Secure API access
- Historical Prices API - Trend analysis
- Fleet Management Solutions - Fleet-specific use cases
- Rate Limits and Pricing - Plan selection guide