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.
We modernize monolithic retail platforms into modular, agile solutions that are easy to evolve and maintain.
By refactoring legacy code and automating operations, we cut license and maintenance costs.
A decoupled system makes it easier to launch new features, integrate APIs, or roll out custom campaigns.
We move your environment to cloud-native architectures that scale on demand and fuel your growth.
Our modernization approach includes CI/CD, automation, and modular architecture to speed up delivery.
We protect your business and customers with modern data security tools and compliance frameworks.
You don’t need to rip and replace your legacy systems to innovate. Modernize platforms without losing their core business logic to achieve operational agility. Intellias will help you update UniVerse-based applications by transforming monolithic platforms into composable, cloud-ready ecosystems that speed up launches, improve data use, and provide customer-centric innovation.
How Intellias enabled composable architecture for Travis Perkins, a British builders’ merchant and home improvement retailer:
The key to successful modernization is not just upgrading systems but doing it fast. We use AI to reimagine UniVerse-based applications, transforming hard-to-maintain systems into well-structured solutions. Our AI-driven approach helps to do it rapidly without disrupting day-to-day operations.
How Intellias applies AI to accelerate UniVerse modernization:
UniVerse came with little documentation, so users do not know everything it can do. Intellias uses generative AI to analyze your existing architecture and create comprehensive documentation. We help you understand how your legacy systems actually work, from sales and returns logic to discount hierarchies, tax tables, and stock timing gaps that cause phantom inventory.
AI-generated documentation maps out hidden business rules, custom pricing logic, performance bottlenecks, and integrations buried in batch scripts and ETL jobs. This clarity empowers teams to learn the system faster, support it with confidence, and modernize without disrupting day-to-day operations.
Our engineers use AI to translate UniVerse BASIC code into secure, easier-to-maintain Python — the modern standard for retail data processing and integration. Python enables integration with APIs, analytics tools, and cloud services on AWS, Google Cloud, or Azure for easier collaboration and continuous delivery.
Moving from modernizing code to modernizing intelligence, Intellias provides AI-powered solutions for measurable business value. We deliver applications that can forecast, detect, and adapt in real time for greater inventory accuracy and pricing agility.
How Intellias applies AI to retail business challenges:
We use AI to analyze historical sales, seasonal patterns, shopping trends, weather data, and vendor lead times or supply issues. These insights help you predict stock supply, balance ordering, and maintain optimal inventory levels.
Increase your conversion rates and margin control with AI-powered dynamic pricing. Our AI models adjust prices based on sales velocity, competitor pricing, stock levels, customer behavior, and seasonal trends.
We train the AI model on what a normal transaction looks like. Then, it flags anomalies in real time. Such a proactive fraud detection approach helps to minimize losses and protects both retailers and customers from suspicious activity.
Modernization should empower progress, not disrupt it. We help you upgrade without costly downtime or business risks. Our UniVerse modernization approach supports CI/CD, enables testing of AI and new technologies, and ensures modernization happens with confidence instead of chaos.
How Intellias leads a smooth modernization journey:
We start by upgrading UniVerse and its underlying OS to the latest supported versions from Rocket Software. This way, we enhance performance while keeping operations stable.
We gradually replace UniVerse by decoupling the front and back ends to create a headless architecture. Once deployed to the cloud, it becomes the unified data source for all digital channels.
The strangler pattern supports CI/CD during modernization and helps to replace legacy components organically. Over time, new components integrate seamlessly with existing ones, ensuring continuous improvement without operational breaks.
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:
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.
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.
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.
Deliver real-time data across systems through a subscription-based model. Easily replay or flush historical data when needed, ensuring synchronization between applications.
Keep data flows transparent and traceable. We help you maintain consistent performance with embedded monitoring, troubleshooting tools, and managed JSON Schemas.
We apply CI/CD for automated, version-controlled rollouts. This approach minimizes deployment risks and speeds up feature delivery and update launches.
Get in touch with us. We'd love to hear from you.
