Web app, 2017

Qapline

Truck management.

datari
datari

We design the future

01
INTRODUCTION

More efficient package shipments.

So that no truck returns empty. Empty trucks are inefficient, uneconomical and an unnecessary burden to the planet.

Qapline knows this well, so they distribute shipments among unoccupied transits. Together, we have created an application that streamlines distribution and automates processes so that Qapline services can be scaled. In the coming years, we plan to open the application as a marketplace for partner carriers.

Detail of transportation

Map of transportation

02
MISSION

We have developed a desktop application for Qapline with which they can manage and distribute cargo among individual carriers.

Logistics under digital control
Language mutations
Automated processes
03
OBSTACLES

What we've struggled with

01

Dozens of truck transports in one app

Thousands of trucks drive through European roads every day. In order to achieve the highest possible optimization of their workload, we needed to clearly display their status, location and free capacity.

02

Multilingualism

The application to some extent replaces the dispatcher, so we had to teach it to "talk", write emails respectively, and not only in Czech. As part of the acceleration, messages for drivers and dispatchers are generated automatically.

03

An app smarter than a dispatcher? Could it be?

The essence of the ERP system lies in the automation of as many processes as possible that make life easier, starting with the generated messages and ending with the design of suitable truck connections.

04
SOLUTION

How we’ve solved the problem

05
WHAT IS THE APP BASED ON

Tech background

01

AngularJS

Qapline runs using the JavaScript framework AngularJS.

02

Real time app and external APIs

Qapline's ERP system relies on an efficient, real-time flow of information and processes and several APIs.

06
EVALUATION

For Qapline, we optimize delivery and inventory processes and help them avoid unavailability issues for four years.

07
SUMMARY

That was that. And a little statistics at the end.

6
6
months until MVP
1200+
1200+
hours spent on the project
3
3
members of the project's team

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