Cloud-first transformation
We migrate and modernize legacy systems through containerization and cloud deployment, enabling scalable, secure, and accessible architectures.
UniVerse Application
Modernization
Developing AI-powered composable commerce for the retail industry
Rebuild your retail core for the age of instant shopping
Thousands of retailers have built their businesses on Rocket Software’s UniVerse MultiValue database, but its time as master of the till has passed. The retail software developed during the 1960s cannot cater to the demands of modern shoppers. To modernize your UniVerse system, you need a technology partner that understands how to maximize existing retail technology and migrate to a modern, composable commerce platform.
That’s where Intellias can help. With over 20 years of experience developing digital retail systems, our engineers are highly skilled at developing applications for composable commerce. Meanwhile, our AI-assisted development methods offer alternatives to completely replatforming an existing UniVerse database.
Challenges we solve
Outdated architectures
We modernize monolithic retail platforms into modular, agile solutions that are easy to evolve and maintain.
High maintenance costs
By refactoring legacy code and automating operations, we cut license and maintenance costs.
Limited capabilities
A decoupled system makes it easier to launch new features, integrate APIs, or roll out custom campaigns.
Lack of scalability
We move your environment to cloud-native architectures that scale on demand and fuel your growth.
Slow time to market
Our modernization approach includes CI/CD, automation, and modular architecture to speed up delivery.
Security and compliance risks
We protect your business and customers with modern data security tools and compliance frameworks.
Our offerings
Composable architecture with UniVerse
We modernize UniVerse-based platforms without full replacement, transforming monoliths into composable, cloud-ready ecosystems for faster launches, better data access, and customer-driven innovation.
AI-enhanced development tooling
We accelerate modernization with AI-driven tools that analyze, refactor, and optimize UniVerse applications, speeding delivery while ensuring stability and business continuity.
Automated documentation generation
We use generative AI to analyze legacy systems and automatically create detailed technical documentation for faster understanding and onboarding.
Knowledge recovery
We extract and map hidden business logic, dependencies, and rules buried in legacy code to support modernization and operational continuity.
Code modernization with AI
We convert outdated codebases into modern, secure languages like Python to enable integration with cloud platforms and analytics tools.
Business value through AI-driven solutions
We apply AI to unlock business impact through intelligent forecasting, pricing, and fraud detection, enabling real-time decision-making and operational agility.
Smarter demand forecasting
We apply AI-driven analytics to predict demand, optimize inventory, and improve supply chain efficiency.
Dynamic pricing optimization
We implement AI models that dynamically adjust pricing to maximize sales and profitability based on real-time market data.
Fraud detection through pattern recognition
We deploy AI systems that identify anomalies in transactions to detect and prevent fraudulent activity in real time.
Migration & upgrading pathways
We modernize UniVerse systems without business disruption, enabling smooth transitions to modern architectures with CI/CD, cloud readiness, and AI testing capabilities.
Modernization without disruption
We upgrade UniVerse and its underlying OS to the latest Rocket Software versions for improved performance and stability.
From monolith to headless architecture
We decouple legacy systems into a headless, cloud-deployed architecture that unifies data and supports omnichannel experiences.
The fig strangler approach
We apply the strangler pattern to gradually replace legacy components, ensuring seamless CI/CD integration and continuous modernization.
Real-time data events with Apache Kafka
Instant data is the cornerstone of modern retail operations, yet UniVerse systems weren’t built for real-time streaming. Intellias helps businesses modernize UniVerse systems to enable immediate data flow. Our Kafka-based adapter decouples operational loads and makes UniVerse data available instantly, enabling smarter reporting, AI prototyping, and seamless integration.
How Intellias enables real-time retail operations:
Real-time synchronization
Kafka organizes data into durable, replicated partitions to synchronize inventory, update pricing, and coordinate operational workflows with low latency across all front-end channels — from POS systems and eCommerce sites to mobile apps and AI assistants.
Scalable integration
Kafka supports scalable integration without forcing systems to depend on each other’s availability. This architecture ensures uninterrupted data flow and seamless communication between applications.
High performance and scalability
Our Kafka-based adapter delivers high throughput with no impact on user sessions. It supports real-time data streaming from UniVerse systems, allowing faster decision-making.
Event delivery and interoperability
Deliver real-time data across systems through a subscription-based model. Easily replay or flush historical data when needed, ensuring synchronization between applications.
Reliability and observability
Keep data flows transparent and traceable. We help you maintain consistent performance with embedded monitoring, troubleshooting tools, and managed JSON Schemas.
Deployment and DevOps readiness
We apply CI/CD for automated, version-controlled rollouts. This approach minimizes deployment risks and speeds up feature delivery and update launches.
Empower your UniVerse systems with real-time data through the Intellias Kafka Adapter.
Making innovation possible for
What our clients say
Navigating change. Our insights
How can we help you?
Get in touch with us. We'd love to hear from you.