TransOrg Analytics developed framework that allows planning for assortment and customer offers at a localized level, hence improving customer retention and thereby revenue.
TransOrg Analytics created a daily demand forecasting model to improve inventory management, enabling more effective resource allocation and ultimately resulting in enhanced operational efficiency.
TransOrg Analytics executed demand forecasting for one of the leading hospitality chains in India to enhance the company’s ability to anticipate demand accurately, contribute to cost optimization and better inventory management.
TransOrg developed store clustering and adjacency analysis for a leading pharmacy chain to improve merchandizing strategy and inventory policy
TransOrg developed daily demand prediction models to reduce order execution time to 4 hours for a leading cement manufacturing and retailing client
OVERVIEW Our client, one of the world’s largest multinational food and beverage company wanted to refactor their existing data pipelines by reducing the number of steps so that data load time can be reduced and data mismatch could be minimised. Their goal is to minimize data loading times and eliminate data discrepancies by accessing the…