The challenge
Our client grappled with poor address data quality, resulting in higher operational costs due to delivery delays. The existing system, reliant on a dropdown address selection, struggled with vast address volumes for specific areas, forcing the customer to scroll. This led 4000 daily users to manually enter addresses, increasing the likelihood of errors.
Faced with the increasing reliance of stakeholders on accurate data, our client understood the importance of a new solution. The implementation of the new solution should avoid disruption of ongoing operations. That is when the retailer asked VirtusLab for assistance.
The solution
VirtusLab simplified the address entry process by introducing a user-friendly single-search field, eliminating the complex two-step postcode-address selection. This upgrade enabled a dynamic search-as-you-type feature, providing a fuzzy search for queries including typos.
We used AWS ElasticSearch to optimize system performance in an iterative approach. This was the foundation for the next steps, which included rewriting our client’s services in Java and launching them on Kubernetes to establish a unified platform. We further improved the platform's service architecture to ensure better integration.
The next stage centered on strengthening the retailer’s team and processes. We cross-trained our client's staff to broaden their skill set and implemented consistent coding practices. With a capable team and streamlined processes, we integrated data from diverse sources across various countries.
At last, we prioritized data security and governance. We enacted procedures to protect data and established governance protocols to guarantee its availability and accessibility.
The results
VirtusLab’s solution reduced the amount of manually typed addresses by 75%, leading to enhanced accuracy and reduced delivery costs. We also designed the solution to be applicable beyond addressing issues, such as address comparison for fraud detection and database migration.
As ElasticSearch requires adjustments, we iteratively refined the solution to meet the client’s expectations. This led to:
- Indexed Documents: Decreased by 70%
- Infrastructure Costs: Reduced by 15%
- Response Time Latency (P99): Improved by 50 times
- Search Result Accuracy: Increased from 60% to 90%
The tech-stack
Languages: Java, C#
Database technologies: Elasticsearch, CosmosDB, MongoDB
Infrastructure: Kubernetes, Microsoft Azure
The tech-stack
Languages
Database technologies
Infrastructure
Partner flexibly with VirtusLab
Use one or a combination of engagement models to suit your needs.
Take the first step to a sustained competitive edge for your business
Let's connectVirtusLab's work has met the mark several times over, and their latest project is no exception. The team is efficient, hard-working, and trustworthy. Customers can expect a proactive team that drives results.
VirtusLab's engineers are truly Strapi extensions experts. Their knowledge and expertise in the area of Strapi plugins gave us the opportunity to lift our multi-brand CMS implementation to a different level.
VirtusLab has been an incredible partner since the early development of Scala 3, essential to a mature and stable Scala 3 ecosystem.
VirtusLab's strength is its knowledge of the latest trends and technologies for creating UIs and its ability to design complex applications. The VirtusLab team's in-depth knowledge, understanding, and experience of MIS systems have been invaluable to us in developing our product. The team is professional and delivers on time – we greatly appreciated this efficiency when working with them.
