Revotech Pro

We developed a mobile financial assistant app for a fintech client, designed for both Android and iOS platforms. The app helps users manage their personal and family finances, track spending, and receive tailored financial recommendations. Additionally, it offers the option to integrate services from banks, insurance companies, and leasing firms. Key Features: Financial Planning: Tracks account balances, analyzes spending, and categorizes expenses. Personalized Recommendations: AI-driven suggestions on savings, investments, insurance, and more. Family Integration: Multiple family members can connect with individual access rights and budgeting tools. Financial Goal Achievement: Guidance on how to meet financial objectives, with actionable advice for budgeting. Real-Time Financial Risk Modelling: Detects potential cash flow issues and offers solutions. Bonus and Rewards Program: Users can earn rewards for inviting others to join the app. Financial Tools Library: Recommendations for insurance, loans, investments, and other financial products. Security & Fraud Prevention: Embedded fraud detection mechanisms. Integration with Banking Systems: Connects to online banking for real-time transactions and financial reports. Multi-Language Support: Available in English, Arabic. Outcome: 100,000+ downloads within the first 11 months. Achieved DAU, WAU, and MAU metrics within the first three months. Integrated features like expense tracking, family budgeting, and financial recommendations led to higher user engagement. The app offers various visual interfaces, giving users the ability to choose the design they prefer. Technologies Used: Java, Kotlin, Swift, Android, iOS, PostgreSQL, Redis, Kafka, ClickHouse, Kubernetes, ELK, Prometheus, Vault, HDFS, Hadoop, Spark. Read More

Solution Overview: The team developed a PWA application for a Latvian bank that enables customers to perform and monitor financial transactions conveniently and securely. Key Features: Payments: Internal Transfers: Transfer funds between personal accounts with simple selection of source and destination accounts, and transfer confirmation. Bill Payments: Pay for goods and services by scanning a QR code or entering details manually, with the option to save payment templates. International Transfers: Send money abroad by entering recipient details, selecting the currency, and calculating transfer fees. Expense Control: Transaction History: Filter transactions by date, type, or account, and search by keywords. Spending Limits: Set daily, weekly, and monthly limits, with notifications when nearing limits. Transaction Notifications: Push, SMS, and email alerts for every transaction. Account Management: Account Creation/Closure: Open and close accounts with a user-friendly interface for submitting and confirming account applications. Card Ordering: Choose the type of card, customize it, and opt for home delivery. Security Settings: Change passwords, set up two-factor authentication, and block lost or stolen cards. Additional Features: Support Chat: Real-time communication with bank operators for assistance with the app or services. Personalized Recommendations: Custom financial product recommendations based on transaction history. QR Code Scanning: Enable payments and access product info with QR code scanning. Bank Integration: Seamless integration with the bank's other services, including online banking for managing all accounts in one place. Security: Strong security measures including encryption, password authentication, two-factor authentication, and access control. Technologies Used: React, Redux, TypeScript, HTML5, CSS3, Java, Spring, Spring Boot, PostgreSQL, Docker, Kubernetes, Microservices, GitLab Read More

To reduce production defects in coking, the client required a system for predicting the quality of the produced coke. The solution models the optimal price-quality ratio using AI. A machine learning-based system was developed to forecast the quality of coke production by optimizing the coking charge. The system includes an AI training subsystem, providing a platform for data scientists to create, train, validate, and deploy models. The system builds a training pipeline and continuously improves the model by adding new coking charge data. The algorithm tests multiple models, selects the best one based on prediction accuracy, and deploys it for use by technologists. The AI model acts as a smart assistant for the technologist, predicting the optimal coking charge structure based on specific parameters, which helps optimize the production process. The technologist is still in control, but the AI assists with decision-making. Key system functionality includes: Viewing and editing general data for available sites and coking batteries. Managing optimization parameters and methods for the AI-based prediction system. Monitoring technological parameters in real-time. Viewing the coking charge composition and its cost. Outcome: As a result of implementing this solution, the client successfully optimized the coking charge production process for cost and quality requirements. The system calculates the optimal ratio of different types of coal using a trained model and enables the technologist to run multiple calculations for the optimal parameters of the production process. Technologies Used: Java, Spring, Kafka, Liquibase, PostgreSQL, Docker, OpenShift, Microservices, React, Redux, TypeScript, HTML5, CSS3, Python, PyTorch, XGBoost, CatBoost, Scikit-learn. Read More

Digital Banking (B2B2C)

A mobile solution was required at a short-term notice. The app was required to be autonomous and minimize the risk of disconnection due to network limitations or marketplace withdrawal from the service providers. The solution was developed using PWA (Progressive Web Application) technology. Technologies used: Java, Spring, Kafka, PostgreSQL, Redis, Docker, Kubernetes, Microservices, Flutter, Dart, Websocket, Firebase Project Team: 1 Project Manager, 7 Developers, 2 System Analysts, 2 QA Engineers Project Duration: 12 months Solution: A Banking-as-a-Service (BaaS) system was developed for creating and maintaining mobile cross-platform applications using PWA (Progressive Web Application) technology. Client's Requirements for the Platform: SSL technology data protection Issuance, management, and blocking of virtual cards Real-time payments Ensuring uninterrupted payments with support for handling emergency scenarios Reliable and secure processes based on multi-factor checks Integration with major banking systems and third-party services System Functionality: Client registration, which includes verification, identity confirmation, email, and phone number checks Account and service activation, account opening and management, and the use of financial products Integration with SWIFT and national payment systems for cross-currency bank transfers Support for real-time SEPA transfers, covering 35 SEPA zone countries: Spain, Slovenia, Slovakia, Greece, Austria, Portugal, Norway, Netherlands, Germany, Latvia, Lithuania, and more Result: The created Banking-as-a-Service platform supports the entire necessary business cycle of the end client and also has the potential for expansion. It is available for installation both through the client's website and app stores; both versions are visually identical. Allows for horizontal scaling as new clients are acquired System reliability is ensured by comprehensive client checks QR code payment and phone number money transfer functions implemented Users can create templates for recurring payments for future use and set reminders Online lending available to users at one of the partner banks Online deposit opening available to users Read More

The legacy EDI system was outdated and failed to meet the evolving business needs of the client, complicating data exchange during document processing. This resulted in low user satisfaction and increased operational costs due to the need for dedicated personnel to manage the system. The project aimed to improve efficiency, reduce errors, and optimize costs. Solution: Our team developed a new core configuration module for organizations and document processing. Key changes included: New Organization Configuration Core: Entirely rewritten, the configuration was centralized in a JSON format, simplifying the management and setup for each organization. Document Processing Overhaul: The business process engine, Camunda, was integrated for easier pipeline setup and real-time monitoring. It allows for visual monitoring of processes and reprocessing documents in case of errors. System Features: Declarative Configuration: Simplified organization registration and document processing configuration. Unified Document Processing: Centralized management using Camunda for business process execution. Real-time Monitoring: Visual monitoring and document re-sending in case of failures. Standard Support: EDIFACT, ANSI X12, XML, JSON, and more. Data Transformation: Seamless data conversion and alignment with various formats. Automation: Automated order, invoice, and shipment handling. Multiple Communication Channels: Supports FTP, AS2, SFTP, HTTP/HTTPS, etc. Security: Encryption, authentication, access control, and auditing. By replacing the legacy system with a unified solution powered by Camunda, the client gained improved scalability and ease of maintenance. The new system is now easier to support and extend. Technologies Used: React, Redux, Java, Spring, Camunda, ActiveMQ, PostgreSQL, MongoDB, Drools, XSLT, Liquibase, Docker, OpenShift, ELK. Read More