Vending Analytics

Vending Analytics is a Coca-Cola-backed big data startup based in Australia that provides customized machine learning and algorithms to help businesses make better data-driven decisions. Back in 2015 they opened up a competition for young professionals to redesign the UX and UI project of their system. The project below was not the winner, however it was ranked among the top 10 projects sent.


the concept

The idea for this project was to deliver an experience that could give the User an easy understanding of the business and its performance.
Through a clean, intuitive and visual-appealing project we aimed to make the data management smooth and effective.


Neverlate App

How might we help people find a parking spot quickly and close to location in order to be on time?


business problem

In 2018, I participated in the Digital Design Hackathon organized by VODW Brussels, a customer-centric innovation consultancy that helps provide digital solutions to their clients. They welcomed 13 participants in their office in Brussels ranging from graphic designers, to product designers and consultants. In small teams of two or three, we had three hours to come up with a digital solution for finding a parking space in the city centre.
At the end of the evening, each team had to pitch its solution and show their digital prototype.

Working with my team in the Hackaton

Working with my team in the Hackaton


Some wireframing examples

Some wireframing examples

As a starting point we got three predefined user personas to work with. We chose Lilly, a 25-year-old who just started her first job as an interior architect. She lives in Antwerp and travels to the city centre of Brussels every day to meet clients. Even though she is a frequent user of social media apps and uses Waze to find her way to her destination, she still feels very stressed about being late at her meetings due to unforeseen traffic jams or roadworks.

Before we started brainstorming, we did some research on what was already available on the market. We found the app ‘Honk’ that is currently being used in South Africa and the USA. It helps drivers find, reserve and pay for a parking space in the city. The app is similar to AirBnB as locals can offer their own private parking space when they don’t need it themselves.


We focused on Lilly’s customer journey that starts when she makes the appointment for her 9 o’clock meeting in Brussels. On the day of the meeting she uses Waze to travel to her destination by car and tries to find a parking space near the meeting location. The city is so crowded that it is very difficult for Lilly to find an open parking spot. Time is running out which is causing a lot of stress for being late. Eventually, after driving around several blocks, she finds a spot, quickly pays for it via the 4411 app and walks to the final location where her client has already been waiting for 15 minutes. Lilly arrived at 9h15.

One of Lilly’s problems in the journey above is indeed not finding a parking space. However, we felt like this struggle was not Lilly’s main concern. Her primary goal is to be on time for her meeting and the inability to find a parking space is a pain point that causes her a lot of stress for being late. Therefore we decided to focus on the ‘job to be done’, being on time, rather than finding a parking spot: “How might we help Lilly be on time for her meeting without any stress?

After a quick brainstorm, we came up with the idea of the “NeverLate App”. A solution that focuses on three pillars: departure, route and arrival. The NeverLate App would be Lilly’s personal assistant. The idea is to link the app to her agenda, Waze account, location and alarm clock. Using big data analytics, Lilly is woken up by the NeverLate App at exactly the right time to be able to arrive on time for her meeting in Brussels. It takes into account the traffic using Waze and the time Lilly needs to get ready in the morning. Additionally, the app enables Lilly to search, select, reserve and pay for a parking spot near destination in order to save time after her route.

The final product

The final product

Local Diaries

Local Diaries is a search engine for local businesses in India. In it, you can find any product or service across all Indian major cities.
I worked on the UX and UI project during my stay in India while working with the Digital Agency Stellen Infotech.
The project also involved a logo Re-design. I worked along a Project Manager and a coder and programmer.


logo redesign

For the logo redesign was mandatory to keep the same idea of squares overlapped.
The color palette chosen became darker to make the logo more elevated and elegant. For the typography, a new san-serif font was selected and the kerning (process of adjusting the spacing between characters)  was rethought to achieve a visually pleasing result.


the website

Based on imagery, the website should be visually appealing and should encourage people to search for new services in their areas.
For that reason, it should be easy, simple and intuitive so it was given a lot of space for the search area and for the five types of services offered by the website.