Success Stories
We delivered a scalable and efficient analytical tool that determines the optimal parcel sizes and improved fill rates for different parcel types.
The AWS solution is comprised of two major components – an AWS data lake to store any data and a Redshift data warehouse which sources data from the data lake.
Virtualized training environment in GCP that offers full stack of 3rd party tools to students without requiring specific hardware or software installations on user side.
Zelusit implemented an AWS Data Lake workflow to enable self-service BI system where business users can interact, explore, and visualize real-time data.
Zelusit developed a dedicated two-bot RPA solution that saves 300 man-hours every year of a leading automotive group. Learn more now.
Zelusit's RPA solution saves 5600 man-hours annually and ensures 20x faster data request processing for a global automotive group.
An easy to navigate intelligent platform that enables both CPG suppliers and Category Management make informed decisions facilitated by data analysis and interpretation.
A logistics company that has adopted RPA solutions needed to monitor them effectively without wasting precious man-hours. Read their success story.
Zelusit developed an Azure Data Warehouse solution that facilitates advanced analytics using Microsoft Power BI.
Zelusit developed an end-to-end Master Data Management (MDM) solution based on Ataccama to speed up data processing 10x and customer service 3x. Learn more.
Zelusit built a Data Warehouse solution in Azure cloud that now serves as a single source of truth and turns data into actionable insights. Learn more now.
Zelusit adopted an advanced analytics approach to develop a Proof of Concept (POC) in one of the client’s plants. Learn more here.