Our iNovus ideas have begun yielding encouraging outcomes.
The iNovus program derives its sustenance from a continual flow of ideas, some of which may be transformative for clients while others may bring relatively modest gains. Below is a sampling of iNovus ideas that helped overcome client challenges.
A major global footwear and apparel company faced challenges in its vendors adopting its API-based interface and related infrastructure issues. It also wanted to improve the onboarding of customers and partners and enhance its brand visibility.
Iris recommended the creation and publishing of APIs through an API Gateway to exchange authentication tokens and transaction data (e.g. orders, invoices, and ASN acknowledgment), and integrate partners in real-time with ERP and legacy applications. This is now adopted as the standard API management solution for application integration within the company. The solution is projected to bring measurable gains in reduced development time for new interfaces, cost savings, and higher visibility.
An AI/ML based data cataloging tool helped organize, integrate and curate enterprise-wide data for a consulting services firm. The tool is expected to slash effort by 90% and deliver savings of $69,000 in every implementation.
Our client faced efficiency drags on multiple fronts with its poorly designed automation frameworks for E2E (end-to-end) testing and data-driven testing. Coding inefficiencies prevented scalability and existing automation frameworks were not reusable. Our team proposed the creation of a lightweight and highly scalable framework and streamline coding systems to allow for cleaner code and reusability. The implemented solution reduced cost and risk, improved quality and productivity, and ensured faster delivery of E2E test automation.
Our client, a financial services firm, has manual processes to evaluate credit applications. The opportunity was to use AI and ML-based models to evaluate historical data and assist in decision-making to increase speed and accuracy. The projected gains included removal of bias, reduced overheads and fewer loan defaults. The solution is in the proof-of-concept stage.
One large multinational financial services client saw all-round performance improvements from iNovus ideas. The Iris client manager overseeing that account lists the metrics: “The end-to-end post analytics batch runs 2 times faster; peak memory usage has reduced by a factor of 1.5; overlays processing runs 15 times faster and it uses 3 times less memory.”
