Author: Gaurav H Kankaria

Gauging market demand for the apparel retail industry is challenging. The success of SKUs sold depends on customer preference (fitting, feel, regional acceptance) and latest trends, which can change frequently. Learn how Ganit has successfully deployed inventory management systems using intelligent demand forecasting at the core of its solutions. This system has helped many clients optimize their inventory, leading to efficient working capital deployment and improvement in topline and bottom-line numbers.

Over the years, Ganit has successfully deployed business intelligence systems on AWS with a data lake and data warehouse at the core. This system has helped many of Ganit’s clients reduce more than 25 million hours in the creation of reports and spend more time driving action to improve top- and bottom-line numbers. Learn how one of Ganit’s clients in the financial control division of an Indian subsidiary of a large apparel manufacturer was tasked to optimize expenses across divisions and ensure functions operate efficiently.

Predicting demand for medical products can be a formidable challenge, since many items have no underlying seasonality patterns nor a consistent shelf life. Learn how Ganit worked with a client to achieve reductions in inventory by designing a robust solution with Amazon Forecast. This post details the approach used to define the objectives and discover the data treatments, and cover employing the flexible architecture provided by Forecast to turn the client’s data into a strength.