Case Study

UST AI application modernization delivers $1.2M savings and 65% faster release cycles in just 16 weeks

After six previous modernization attempts, UST took just 16 weeks to refactor and consolidate two monolithic applications into a single, modern, microservices application using UST CodeCrafter, an AI-based framework and iterative process. The company streamlined maintenance, accelerated release cycles by 65%, and cut application costs by an estimated $1.2 million over three years.

OUR CLIENT

As one of the largest retailers in America, the company operates thousands of stores and employs nearly 300,000 people. It markets products under several different brand names and collaborates with partners to provide delivery services. The company heavily invests in the communities it serves by donating millions of dollars in food and financial support.

THE CHALLENGE

Vendor compliance application modernization

The company utilized two disparate, but similar, legacy applications to manage vendor compliance and load compliance for product deliveries and transfers between 20 distribution centers. If pallets were damaged, late, packed incorrectly, or non-compliant for some other reason, problems were logged, and vendor fines were issued, managed, and disputed within the two Microsoft Access systems. These aging, mission-critical systems had become a bottleneck with:

Six previous modernization partners tried—and failed—to consolidate and migrate the two applications to a flexible microservices architecture because they were unable to parse the VBA code or achieve test-coverage targets. The company required a capable vendor with a different approach for this application modernization project.

THE TRANSFORMATION

Automated code conversion with GenAI

UST consolidated both Microsoft Access applications into a single, modern application running in a Microsoft Azure environment. We delivered application modernization in 16 weeks for the retailer, using UST CodeCrafter, our AI-assisted framework that pairs a proprietary Abstract Syntax Tree (AST) parser with large language model (LLM) generative AI (GenAI) prompts. During the iterative AI-driven process, UST:

THE IMPACT

Massive business benefits after legacy system modernization with AI

The retailer now has a unified application to manage vendor and load compliance as products are delivered to distribution centers. After modernizing the applications, the company has:

Ready to modernize mission-critical applications at lightning speed without business disruption? Click here to learn more about how UST CodeCrafter can help you.

RESOURCES

https://www.ust.com/en/alpha-ai

https://www.ust.com/en/insights/do-generative-ai-tools-like-chatgpt-live-up-to-their-hype

https://www.ust.com/en/insights/ust-helps-global-fast-food-chain-analyze-and-reduce-complaints-by-27-percent