Industry: ITES
The client is known for its cutting-edge sales, distribution, and service management software that is both easy to use and intuitive. A complete automotive dealer management system, sales and distribution management, and service management software are all part of the product offering.
Business Challenges
Solutions
Celebal Technologies helped the firm overcome its business challenges using data-driven solutions like Azure ML/AI and Power BI.
A central data repository to merge all the data into one place was created using the Azure SQL Database and a container service for deployment if required.
Azure ML Studio was employed for predictive analysis. The cloud-based solution discovered patterns in vast amounts of data in order to predict spare part consumption dealer-wise and vehicle-wise based on historic data.
Power BI was used to develop an interactive dashboard using raw and unstructured data. The inventory management solution in Power BI helps to visualize, analyze, and share vital business information by pulling critical parts of data into simple, easy-to-use interactive reports.
Technologies Used
Business Impacts
Celebal’s solution helped the tech pioneer by developing an all-in-one inventory management solution for demand forecasting and predictive analysis.
The proposed solution using Azure AI/ML and Power BI ensured accuracy along with quick real-time insights. For instance, the demand forecasting for spare parts consumption by vehicle model reached 85% accuracy. This helped the organization to hold the spare parts at the right time.
Similarly, the capacity-based service prediction also reached 85% accuracy. This saved the firm from missing deadlines and having unsatisfied customers.
Celebal’s data-driven forecasting analysis helped the company optimize inventory to keep track of its spare parts throughout the supply chain and meet demand.
Through the collaboration with Celebal Technologies, the top tech titan harnessed data-driven AI and ML to revolutionize their inventory forecasting and management, resulting in improved forecast accuracy, operational efficiency, and a significant competitive advantage in the global tech market.
