Yonoton offers a top-notch digital ordering solution for the hospitality and entertainment sector. Their versatile SaaS platform saves costs, generates revenue, and offers a customized tool for businesses.
To eliminate the risk of unnoticed defects during the production stage, Andersen assembled a QA team of senior specialists to set up the testing process and prevent defects from reaching production. The QA workflow was integrated into the SDLC process, improving communication between the development and QA teams. Testing was conducted on multiple iOS and Android devices, with all features covered by the test documentation. Automation testing was also set up, reducing the time needed for regression testing by five times.
The results of the project were impressive, with a huge decrease of missed defects in production, prevention of app crashes, and a significant reduction in regression testing time. CTO of Yonoton, Jouni Stam, praised Andersen for their exceptional communication and planning practices, making a great first impression, and keeping the customer well-informed throughout the project.
Die Referenz wurde von Clutch überprüft und stimmt mit den Worten des Kunden überein
The company made a great first impression with the business analyst who gathered requirements, measured the scope, and asked about our other needs. The project manager and other team members kept us informed about the business app's schedule and progress and made sure that everything was going according to our expectations. Andersen stands out where it comes to communication and planning.
The customer came to us with a request to build a mobile solution that would help fans order food and other products without wasting time standing in long queues. Our specialists suggested to take it a step further and develop a time-saving application that would allow users to order snacks easily with few clicks so that they can enjoy a sporting event, without distracting too much on the ordering process. To achieve this goal, we worked hard on a scheme of the ordering process and the ways this process can be optimized.
Our dedicated work resulted in a mobile app product that allows ordering meals, drinks, promotional products, and even tickets to a match with a couple of clicks, spending on average around 3,5 minutes on the order. Each step, from signing in/up to scanning a QR code is optimized. The simplicity of use is also achieved by a user-friendly interface with soft colors, minimalistic icons and buttons, cards, and proper allocation of these elements on screens.
Since the aim of the app is saving time, the registration and log-in processes are expected to be quick too. When signing in, the user enters their name, password, and email in case the password needs to be restored. The app remembers username and password, so next time, it will provide access immediately without authorization (or will require the password only).
When the application is launched for the first time, it demonstrates a short user guide. Ordering with the app is as easy as pie: the user merely needs to select food or an item and scan a QR code on an armrest to confirm the order.
As promised, we ensured the process of choosing food was optimized. On the home page, popular food and items, food recommended based on the previous orders, as well as deals of the day are displayed so that the user can choose and order something directly there. To see more offers, one needs to open the menu on the top bar at the bottom of the page. On the menu, the food and other items to be sold are sorted into categories; besides, the user can find a meal to order on the brands' tab.
Food and beverage items are shown as cards, with images and prices, that can be filtered. After clicking on a card, the user can see more detailed information about the chosen product and either buy it or put it in the cart.
There are two ways to receive the ordered items: delivery to your seat or collection from a fast-track check-out point. To have the food delivered, the user needs to scan a QR code on the armrest, and the system will automatically identify the user’s location. If the fan decides to pick up the order, the app displays the time when it can be collected and shows the location of the fast-track check-out point on a map.
The QR code scanning page. After the scanning, the application displays the details of the fan’s location. In case of an error, the system suggests trying again or entering the location manually.
The uses can pay for the order with cash or a plastic card. We introduced the possibility to add several payment cards to the application. Having deep experience in E-Commerce, our engineers took all reasonable steps to ensure all payment transactions are secure.
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