SLS100X — SGATE

Optimizing cross-border logistics — replacing manual, phone-based freight booking with a multi-provider, credit-backed self-serve platform.

SLS100X — SGATE — cover image
Role
UX Designer
Team
PM & Developers
Deliverables
Webapp, iOS & Android app, admin panels
Tools
Figma
Timeline
Dec 2022 – May 2023

Overview

The client — a logistics service provider with an established manual operation — asked us to build a self-serve platform from zero. Every booking ran through phone or e-mail: a coordinator negotiated with providers, paperwork moved by fax and courier, and payment landed weeks after delivery on a credit cycle. It worked only because a handful of people held its logic in their heads. Everything that made the operation trustworthy — human coordination, flexible payment, tacit knowledge of regulations — had to be encoded into a product without becoming an obstacle course.

What the product had to do

Booking the first shipment

There was no product to test, no analytics to mine, no user pool to survey. Designing screens from the brief alone would have produced a plausible-looking product built on wrong assumptions. I framed the research into three tracks: field observation, competitive teardown, and user segmentation.

How things actually move

A day shadowing a booking counter and a sorting supervisor at a distribution centre was worth more than a week of reading. I followed a live shipment end-to-end — booking, documentation, weight verification, tariff calculation, dispatch, reconciliation — and photographed every form a customer had to fill.

Revelations from the field

Learning from competitors

Shiprocket got the multi-carrier model right but priced out enterprise with wallet-first, prepaid payments and heavy KYC onboarding. FedEx got the enterprise workflow and document generation right but couldn’t aggregate, and rewarded expertise while punishing newcomers. SLS100X had to sit in the space neither addressed: multi-provider + credit-backed + guided.

Testing

Eight unmoderated task-based tests across three rounds, each running a booking scenario written from a real customer situation. 80% task completion without assistance on round one. Confusion clustered on the declaration screen — testers didn’t know what "commercial value" meant on a personal shipment — fixed with plain-language help text and a "for personal use" toggle. The guided tour lifted first-booking completion but slowed experts, so it became dismissible and remembered the dismissal.

The design

Outcome

What I’d change next time

Gallery

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