AS | Ankit Sarawagi · Founder, CFOmatrix · June 17, 2026 · 14 min read · Updated June 2026 |
Logistics is a volume business where margins are won or lost at the delivery level. Unlike SaaS or fintech, every trip has a direct cost: fuel, rider time, vehicle wear, and the operational overhead of managing a distributed fleet. Without tracking the right unit economics, most delivery startups discover too late that their cost per delivery is higher than their revenue per delivery, and no amount of volume will fix that math. This guide covers the 15 metrics that define a financially sustainable logistics operation, from revenue and cost to quality and efficiency, with the benchmarks that actually apply to Indian delivery businesses.
Key Takeaways
- Contribution margin per delivery must be positive before you scale volume, or every additional delivery deepens your losses
- First Attempt Delivery Rate below 85% means re-delivery costs are eating your contribution margin delivery by delivery
- Vehicle utilization below 70% means you are paying for assets that sit idle, directly inflating your cost per delivery
- Fuel cost per km is an input metric; cost per delivery is the unit economics metric that matters for your P&L
- B2B logistics clients track SLA Adherence Rate closely and will churn if on-time delivery falls below 90%
- Ancillary revenue from COD handling, insurance, and returns is often the difference between a breakeven and a profitable delivery business
Table of Contents
85%+ First Attempt Delivery Rate below this means re-delivery costs are eating your contribution margin. | Contribution margin Most logistics startups track revenue per delivery but ignore that their cost per delivery is higher. | 70%+ Vehicle utilization below this threshold means you are paying for assets that sit idle. |
Why Logistics Unit Economics Are Different
In logistics and delivery, every transaction is also an operational event. Unlike software, which can be replicated at near-zero cost, each delivery requires a physical vehicle, a rider or driver, fuel, and time. The economics cannot be separated from the operational details. A delivery startup that ignores its cost per delivery while chasing volume is not growing; it is accelerating its cash burn.
The other structural challenge is that logistics revenue is intensely commoditized. Shippers will switch providers for a Rs. 5 reduction in delivery charge. This means that cost efficiency is not optional. The businesses that survive in Indian logistics are the ones that drive their cost per delivery below their competitors through better route optimization, higher vehicle utilization, and lower re-delivery rates.
Unit economics in logistics also interact with operations in ways that other business models do not. A quality metric like First Attempt Delivery Rate directly affects cost per delivery because every failed attempt is essentially a free repeat delivery the business pays for. Understanding these connections is what separates a CFO who understands logistics from one who merely tracks spreadsheets.
Revenue Metrics
Revenue per Delivery
Revenue per Delivery is the average amount your business earns for each delivery completed. It is the top-line unit and the starting point for all logistics unit economics. This metric varies dramatically by business model: hyperlocal last-mile delivery typically earns Rs. 20 to Rs. 40 per delivery, while B2B inter-city logistics can earn Rs. 200 to Rs. 1,000 per consignment depending on weight, distance, and SLA commitments.
Revenue per Vehicle per Day
Revenue per Vehicle per Day measures the revenue productivity of your fleet assets. It tells you whether each vehicle in your fleet is generating enough revenue to justify its operating and ownership costs. This is the critical bridge between your revenue per delivery and your fleet economics. A vehicle completing 25 deliveries at Rs. 30 each earns Rs. 750 per day. Whether that covers its daily cost depends on your fuel, driver, and depreciation costs for that vehicle.
Ancillary Revenue Rate
Ancillary Revenue Rate measures the share of total revenue that comes from value-added services beyond the base delivery charge. For Indian delivery startups, this includes cash-on-delivery handling fees, shipment insurance, return logistics charges, express delivery premiums, and packaging services. Ancillary revenue often carries higher margins than base delivery revenue because it is priced on value rather than distance or weight.
Cost Metrics
Cost metrics in logistics are the most operationally connected metrics in any startup category. Each one traces back to a specific operational decision: route design, fleet mix, hiring model, or delivery attempt policy. Understanding them at this level is what allows a logistics CFO to drive costs down without sacrificing service quality.
Cost per Delivery (CPD)
Cost per Delivery is the single most important unit in logistics economics. It captures all variable operating costs divided by total completed deliveries. Every other cost metric in this guide is an input into CPD. If your CPD exceeds your revenue per delivery, your business loses money on every order it fulfills. No amount of growth, funding, or operational excellence downstream will fix a negative contribution margin at this level.
Variable operating costs to include: fuel, rider or driver compensation, vehicle maintenance, packaging materials, hub and warehouse handling costs directly tied to delivery, and technology costs per order where applicable.
Fuel Cost per KM
Fuel Cost per KM measures how efficiently your fleet converts fuel expenditure into distance covered. It is an operational input metric that helps identify inefficiencies in route planning, vehicle maintenance, and fleet mix. A rising fuel cost per km often indicates poor route optimization, vehicles running out of service condition, or a shift toward less fuel-efficient vehicles in the fleet.
Labor Cost per Delivery
Labor Cost per Delivery measures the rider or driver compensation attributable to each completed delivery. In Indian logistics startups, the labor model significantly affects this metric: gig-based riders have variable costs tied directly to deliveries, while salaried riders create fixed labor costs that must be absorbed even during low-volume periods. The choice of labor model is one of the most consequential unit economics decisions in logistics operations.
Contribution Margin per Delivery
Contribution Margin per Delivery is the net amount each delivery contributes toward covering fixed costs and generating profit, after all variable costs are deducted from revenue. It is the definitive test of unit economics viability in logistics. A positive contribution margin means the business can sustain itself and eventually reach profitability with sufficient volume. A negative contribution margin means every delivery actively destroys value, and scaling volume makes the losses larger, not smaller.
Quality Metrics
Quality metrics in logistics are directly linked to cost metrics. A low First Attempt Delivery Rate raises cost per delivery. High damage rates trigger insurance claims and client penalties. Poor SLA adherence accelerates B2B client churn. In logistics, quality and economics are not separate domains; they are the same problem viewed from different angles.
First Attempt Delivery Rate (FADR)
FADR measures the percentage of deliveries completed successfully on the first attempt, without requiring a re-delivery or return to hub. It is one of the most operationally and financially significant metrics in logistics. Every failed first attempt generates a re-delivery trip that costs the same as the original delivery but earns no incremental revenue. At a 15% failure rate, roughly one in six deliveries is effectively free from an economics standpoint.
On-Time Delivery Rate
On-Time Delivery Rate measures the percentage of deliveries completed within the promised time window communicated to the end customer at the time of order placement. It is the primary customer experience metric in logistics and directly determines repeat purchase rates for B2C platforms and contract renewal likelihood for B2B clients. A delivery that is made but arrives outside the promised window is technically a completed delivery but a failed customer promise.
SLA Adherence Rate
SLA Adherence Rate is the contractually defined version of on-time delivery, tracked specifically in the context of B2B logistics contracts. While on-time delivery rate uses the customer-facing promise as the benchmark, SLA Adherence Rate uses the legally binding service level agreement terms signed with a business client. B2B logistics contracts often include penalty clauses tied to SLA breaches, making this metric have direct financial consequences beyond just customer satisfaction.
Damage and Loss Rate
Damage and Loss Rate measures the percentage of shipments that are damaged in transit or lost entirely. It has dual financial consequences: the direct cost of compensating the shipper or end customer, and the reputational cost of eroding trust with B2B clients. For high-value shipments, damage and loss can exceed the entire margin earned on those orders many times over. Tracking this metric by route, hub, and vehicle type helps isolate whether the problem is handling, packaging, or specific operational segments.
Efficiency Metrics
Efficiency metrics tell you how well you are using the assets and resources you have already paid for. In a capital-intensive business like logistics, poor asset utilization is one of the fastest ways to inflate costs without any corresponding decline in service quality. These metrics connect fleet decisions to financial outcomes.
Vehicle Utilization Rate
Vehicle Utilization Rate measures the percentage of a vehicle’s available capacity or trip slots that are actually used for revenue-generating deliveries. It is the most direct measure of fleet productivity. A vehicle sitting idle for 30% of its available working hours is generating fixed costs such as depreciation, insurance, and driver salary with no revenue to offset them. Low utilization raises cost per delivery for every active vehicle in the fleet.
Orders per Vehicle per Day
Orders per Vehicle per Day measures delivery productivity at the fleet level. It tells you how many revenue-generating deliveries each vehicle in your fleet is completing on an average working day. This metric drives cost per delivery more directly than almost any other efficiency lever: a rider completing 30 orders per day has a much lower labor and fixed cost per delivery than one completing 15 orders per day, all else being equal.
Fleet Uptime
Fleet Uptime measures the percentage of scheduled working hours during which vehicles are operational and available for deliveries. Vehicles under maintenance, awaiting spare parts, or off-road due to breakdowns are not generating revenue but continue to incur ownership costs. Low fleet uptime is often a leading indicator of deferred maintenance, aging fleet, or inadequate servicing infrastructure.
Acquisition and Retention
CAC per Business Client
In B2B logistics, the relevant acquisition metric is the cost to acquire a new business client rather than an individual end consumer. CAC per Business Client includes all sales and marketing expenses allocated to winning new business accounts: sales team salaries, business development travel, demo costs, legal costs of contract setup, and any technology integration costs incurred during onboarding. B2B logistics CAC is typically higher than B2C because of the longer sales cycle and the need for customized SLA negotiations.
Client Retention Rate
Client Retention Rate in B2B logistics measures the percentage of business accounts that continue their contract month over month. Logistics is a high-churn category when SLA performance is poor. A single month of consistent delays or SLA breaches is often enough for a B2B client to move volume to a competitor. This makes Client Retention Rate in logistics a direct downstream consequence of SLA Adherence Rate and Damage and Loss Rate rather than an independent metric.
Logistics Benchmarks for Indian Startups
These benchmarks reflect operational and financial norms for Indian logistics and delivery startups at different stages of maturity. Early stage benchmarks apply to startups in their first one to two years of operations. Growth stage reflects Series A and Series B operations. Mature reflects well-established logistics operations with significant scale.
“In logistics, the P&L is built delivery by delivery. A founder who cannot tell you their cost per delivery and contribution margin per delivery today is flying blind, regardless of how fast their volume is growing.”
Ankit Sarawagi, CFOmatrixNeed help building your logistics unit economics model? CFOmatrix helps logistics and delivery founders set up the right metrics framework and financial model before their next funding conversation. | Talk to CFOmatrix |
Frequently Asked Questions
What is a good First Attempt Delivery Rate for Indian logistics startups?
A First Attempt Delivery Rate of 85% or above is the industry benchmark for Indian logistics and delivery startups. Top-performing hyperlocal players achieve 90% or higher. Below 80% is a red flag because every failed first attempt triggers a re-delivery cost that is often equal to or greater than the original cost per delivery, directly eroding contribution margin. Low FADR is usually caused by inaccurate address data, customer unavailability, or poor scheduling of delivery time slots.
How do you calculate contribution margin per delivery?
Contribution Margin per Delivery = Revenue per Delivery minus Fuel Cost per Delivery minus Labor Cost per Delivery minus Vehicle Depreciation per Delivery minus Packaging and Handling Cost per Delivery. All variable costs that change with each delivery must be included. Fixed costs such as warehouse rent or management salaries are excluded from this calculation. The contribution margin per delivery must be positive for a logistics business to be economically sustainable at unit level.
What vehicle utilization rate makes logistics profitable?
A vehicle utilization rate of 70% or above is generally considered the threshold for profitability in logistics operations. Below 70%, the fixed cost of owning or leasing the vehicle cannot be adequately covered by the revenue it generates. Top-performing logistics operations target 80 to 85%. Utilization below 60% indicates significant overcapacity, poor route planning, or demand-supply mismatch in the fleet composition.
How is cost per delivery different from cost per km?
Cost per delivery is the total variable cost incurred to complete one delivery, including fuel, labor, vehicle maintenance, and handling. Cost per km measures only the cost of operating a vehicle per kilometre travelled and is primarily used to benchmark fuel efficiency and route optimization. Cost per delivery is the more important unit economics metric because it directly maps to your revenue unit. Cost per km is an input metric used to diagnose why cost per delivery is high, not a standalone measure of business economics.
What on-time delivery rate should a logistics startup target for B2B clients?
B2B clients typically expect an on-time delivery rate of 95% or above as a contractual minimum, often codified as SLA Adherence Rate. SLA Adherence below 90% in a B2B logistics contract frequently triggers penalty clauses and is a leading indicator of client churn. For hyperlocal B2C delivery, a 90% on-time rate is the market benchmark. Consistently missing SLAs is the primary driver of client churn in B2B logistics, making this metric a direct predictor of revenue retention.
Related Articles
Unit Economics Every Startup Must Track: The Complete CFO Guide Marketplace Unit Economics: Metrics Every Platform Startup Must Track Food Tech Unit Economics: Metrics Every Cloud Kitchen Startup Must TrackAS | Founder, CFOmatrix | Finance Strategy & Equity Compliance CFOmatrix is a knowledge platform focused on how finance actually works inside growing companies. Every insight is shaped by real operating experience across startups and growth-stage companies, including cross-border setups. |