Definition
Last mile is the final segment of the distribution chain in which goods move from a hub, store, or consolidation center to the agreed delivery point with the customer or establishment, including attempts, windows, and proof of delivery.
Your Mexico City–Monterrey linehaul is weight-optimized. Then the south-zone delivery is rescheduled twice, the customer is not home, and cost per order doubles. Last mile does not forgive the spreadsheet that only watches rate per km.
If you run retail, 3PL, or e-commerce in Mexico, last mile is where margin and NPS fight on the same day. A TMS with routes and exception agents keeps chat from becoming your control tower, see TMS vs agents.
What last mile means in logistics
It is not only “the van at the end”. It includes route assignment, delivery window, attempt, retry, partial return, and POD. In B2B it may be delivery to the customer store/DC; in B2C, the home or pickup point.
Unit cost is high because the vehicle drops little volume per stop and every failed window implies unproductive km and hours.
Cost % and KPIs you should watch
In dense e-commerce, last mile often represents roughly 40–55% of total order logistics cost (varies by density and failure %). In B2B store distribution, relative weight falls but OTIF impact rises.
Do not optimize fuel alone. Optimize the attempt-and-window system.
Cost per delivery
What it measures: MXN / successful drop
MX warning signal: Rises with retries
Lever: Densify + windows
First-attempt success
What it measures: % deliveries on first visit
MX warning signal: <85% urban often fragile
Lever: Appointments / pickup points
Density
What it measures: Drops / hour or / km
MX warning signal: Long lightly loaded routes
Lever: Geographic clustering
OTIF / window
What it measures: On time and in full
MX warning signal: ±2 h windows breaking
Lever: Track & alerts
Digital POD
What it measures: % with evidence <X h
MX warning signal: Loose chat photos
Lever: ePOD linked to order
How to improve last mile in 5 steps
Prioritize density and first attempt; an electric vehicle will not fix a badly promised window.
Select a step to see detail
Step detail · 01
Measure an honest baseline
Step 1
4 last-mile myths in Mexico
If you chase these myths, cost per delivery will not fall.
1.More vehicles fix lateness
Without density or windows, more fleet only adds fixed cost. First fix the wave plan and first-attempt %.
Capacity ≠ control
2.The customer always wants same-day
Many accept reliable windows. Poorly executed same-day destroys margin and trust.
Reliable > heroic
3.WhatsApp is enough for the tower
It scales until it does not. Without a system, there is no defensible OTIF or retry audit.
Channel ≠ TMS
4.Last mile is only a B2C problem
Store deliveries with rigid appointments are also B2B last mile, with OTIF penalties included.
Mexican retail is demanding
Last mile with TMS and agents
The TMS coordinates orders and routes; agents watch exceptions and help tender capacity when a unit is missing.
Do not automate three fronts at once: if pain is service/OTIF, start with track & trace; if it is spot carrier cost, tendering; if it is invoice leakage from courier/3PL, audit, guide in TMS vs agents.
Key takeaways5 points
- Last mile is the final leg to the customer/store; it often concentrates 40–55% of logistics cost in dense e-commerce.
- KPIs that matter: cost per delivery, first-attempt %, densification, OTIF/window, and digital POD.
- In Mexico, traffic, security, and retail appointments change the equation: do not copy EU benchmarks without context.
- WhatsApp as a control tower does not scale: you need routes, exceptions, and evidence in a system.
- Improving last mile without aligned tendering/track/audit only moves pain to another link.
Is your last mile earning margin… or eating it?
Frequently asked questions
In dense e-commerce it is often cited as 40–55% of order logistics cost. In B2B the share varies; model it with your real linehaul vs last-mile split.
It depends on the vertical. As an operating reference, below ~85% in urban appointed delivery you should investigate windows, contact data, and alternate points. The goal is to raise it without unrealistically widening the window.
Last mile is where On Time (window) breaks most and sometimes In Full (shortage at drop). See what is OTIF.
Owned fleet: control and density in core zones. 3PL/network: peaks and coverage. Many use a hybrid. Evaluate cost/delivery and OTIF, not only the advertised rate.
ePOD with geo/time, typed failed attempt, and associated charges. Without that, AP and the customer argue blind.
Yes: retries, waits, and zone rates get inflated. The 100% logic of the 3PL case also applies to urban distribution invoices.
