Our client from the United States is a proactive supply chain and inventory management service, provider. They focus on increasing the efficiency of procurement, distribution and logistical support on a global scale for delivering products.
They provide high-quality services in reducing the lead time between manufacturers, suppliers, and customers.
Used machine learning technology to accurately predict future market demands which help in shrinking stock levels. We created a supervised learning program with the help of historical data and current data to reduce inventory mismanagement. The machine learning model we built tracks the demand changes, scans the inventory in real-time to provide insightful analytics on re-stocking and product demand.
USP of our Project
Results – A journey from Ideas to Success
Technologies we used
Microsoft Cognitive Toolkit
SAS Advanced Analytics
“We wanted to automate our supply chain operations. The Machine Learning team from SoluLab did an outstanding job in developing one of the best predictive systems for the supply chain management.”