People in the US frequently find it challenging to navigate their financial situations, especially when paying off debts. This may happen due to a need for a clearer understanding of the best ways to handle debts and a shortage of financial know-how.

Our mobile app is developed specifically to tackle this issue. It checks out your current debt, suggests personalized ways to repay it, and even lets you restructure it by tapping into government programs.

The app’s been scoring high among users on app stores, boasting an average rating of 4.2. It features an easy-to-navigate interface, complete with a calculator and detailed debt repayment plans that cater to individual circumstances. Signing up for federal refinancing programs is simple—just a few minutes, not the usual months.

Big Data Tool is a platform developed by Coreteka for the Philip Morris tobacco company to analyze large volumes of information and make data-driven decisions. This solution is connected with several information sources, such as weather forecasts, social media, and cellular networks.

This product is used to analyze data for marketing activities.

The project’s main goal was to create a tool with the following functionality:

• Allowing the marketing department to create optimal schedules for representatives by showing their latest activities;
• Helping to count the number of potential buyers around each outlet by synchronizing with several sources of information.

The software displays the outlets’ map. A user can choose the necessary stores and enable notifications about related activities.

We also added a heatmap, where each group of filters (for example, the number of visitors by day or hour) has its colors.

Сoreteka Driver App was developed for the internal courier delivery service in order to manage door-to-door goods delivery and optimize logistics operations.

The main project goals are:

• minimizing the number of accidents involving truck drivers;
• providing operators with information about the cargo status in real-time;
• making the information the driver needs available with one touch.

While working on this project, our team used such technologies and services as Android, Google Maps, GPS, Java, Kotlin, and PostgreSQL.

When the driver is on the road, it is important to be concentrated on it to avoid accidents. However, dispatch needs to call the driver and get his location during the trip, and the driver needs to call dispatch to get information about the delivery. These necessities distract the driver from the road, thus endangering them. We came to a solution: our driver application transmits data to the TMS in real time, and all the information for the driver is stored in one place. This solution eliminates the need for the calls and as a result, keeps the driver focused.