Snarto

Snarto

1.1

About the project

Project Overview

SNARTO is an integrated logistics platform utilizing the achievements of artificial intelligence to optimize transport time and costs for both the carrier and the ordering party.

  • Work Stages
    • UX research
    • UX testing
    • Wireframing
    • Prototyping
    • UI design
  • Tools
    • Figma
    • Adobe Photoshop
  • Duration
    • 6 months
1.2

Basic Information

Project Overview
  • About the platform

    SNARTO is a unique solution on the market for managing the transport of various types of goods. The platform connects carriers with individuals and companies looking for a direct partner to transport their cargo — without intermediaries.

    Thanks to artificial intelligence, the platform shortens logistics processes and allows for generating significant savings.

  • Task

    Our task was to design an application for carriers and freight forwarders.

    The application was to enable placing a transport order and reporting available carriers, but above all, to make road transport management easy, profitable, and bypass the main problem, which is intermediary margins.

1.3

Design Process

Project Overview

Design Thinking Methodology

This iterative process allows for continuous improvement of the solution and adapting it to user needs, which is crucial in designing effective products.

  • 1. Empathize

    Understanding user needs and the problems we want to solve.

  • 2. Define

    Defining the problem and project goal in a clear and understandable way.

  • 3. Ideate

    Generating as many ideas and concepts as possible.

  • 4. Prototype

    Creating simple models or visualizations of ideas to see how they will work in reality.

  • 5. Test

    Testing ideas with users to get their feedback and suggestions.

  • 6. Implement

    Implementing the best solution and its further improvement.

1.4

Needs and goals

Project Overview
  • Project Overview

    In the first stage, we conducted research on competitive solutions on the market.

    For this purpose, we verified applications of other transport companies to understand what functionalities they offer. We also checked what problems users encounter in the transport ordering process. Striving to create a solution that will be satisfactory for both sides of the transaction, we also conducted in-depth interviews to learn the needs of service providers. Thanks to this, we gained comprehensive knowledge about the expectations of carriers and freight forwarders.

  • Information Architecture and User Flow

    We designed the information structure (IA) and user flow, i.e., visualizations of paths that users will navigate to perform appropriate tasks in the application. In this process, we defined the key functionalities and goals that the application should meet, as well as the way users will use it.

2.1

UX Functional Mockups

Creation

We created UX prototypes (functional mockups) that allowed us to verify the correctness of the user flow and assess the possibility of using various functions. At this stage, the prototypes were preliminarily tested by potential users, which allowed us to obtain valuable feedback and introduce necessary changes to adapt the solution to real needs.

2.2

UI Design

Website

Based on the approved prototype, we proceeded to design the user interface (UI) that met the needs of potential application users. Our team designed an attractive, functional, and easy-to-use application interface.

2.2.1

Contrast version – mobile

UI Design
2.2.2

Contrast version – desktop

UI Design
3.

Activities and Effects

Summary

We created a design of a desktop application for managing freight, fleet, and orders.

The biggest competitive advantage of the application is the possibility to bypass intermediaries — freight forwarders who impose high margins. Communication in the system therefore takes place directly on the ordering party / carrier line.

  • Effects

    The application has two work modes — for the contractor (for the carrier) and for the ordering party (company looking for goods transport). Thanks to the use of artificial intelligence algorithms, the application has a route optimization function that allows setting the cheapest or fastest freights.

    One of the significant functionalities of the solution is the chat, which allows communication in real-time between the ordering party and the carrier, as well as the carrier and the driver.

  • Additional functions

    An additional task was to design a mobile application for drivers using the system. The program handles currently performed orders in real-time, providing a map with pickup points for subsequent goods, as well as the transport destination. Thanks to the possibility of reporting the completion of the course, the information is immediately visible in the system.

  • Benefits for the client

    Summing up, the JAAQOB HOLDING® project team designed an advanced application for the transport industry, which is highly functional for all parties to the transaction. The solution facilitates ongoing analysis of order execution, influences cost reduction and shortening of transport time, and also facilitates communication between the ordering party, contractor, and drivers.

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