Delivery Booking Kenya
Delivery Cost Calculator

Delivery Cost Estimator

Base rate covers up to 5 km.

Weight does NOT affect cost β€” only delivery eligibility.

Delivery Options

Estimated Total Cost

--

How do we price our delivery services?

Here are the factors that determine our delivery prices within Nairobi, Mombasa and the surrounding towns.

distance

Distance

Base rate applies up to 3–5 km, with additional per-kilometer charges added beyond the minimum coverage distance.

global-marketing

Country of Service

Delivery services across Kenya with pricing in KES, tailored to structured service categories and add-on options.

distribution

Delivery Options

Same-day delivery, return trip (percentage of base rate), fragile handling, weekend/holiday delivery, plus free confirmation services.

spare-parts

Service Category

Spare parts, medical deliveries, documents & parcels, and lightweight packages with fixed base rates and urgency fees.

Why PUEXP delivery company?

PUEXP pick-up and delivery company in Kenya offers the most affordable delivery services in Nairobi and Mombasa Kenya.

Instant Price Estimate
Once you visit our website to book a delivery, our system will automatically give you an instant price estimate based on the distance covered. All you need to do is enter the pick up and delivery addresses and the system will do the rest.

(Is it possible to add a button for estimated waiting time on the instant quote form and automatically adjust the prices according to both distance and waiting time?)

Transparent Prices
Our pricing for local delivery services is very transparent. We use a standard algorithm that automatically calculates pricing at the time of booking to ensure that you do not pay more.

Same Hour Deliveries
You can count on PUEXP pick-up and delivery company to deliver your urgent orders. If you need a delivery done urgently, use our expedited delivery service to get it within the same hour.
(Prices for the same-hour deliveries are twice the normal rates)

Here are the average waiting times for services that attract queues;