How to Optimize Retail Demand Prediction with AWS Forecast

DURATION:

55 min

FORMAT:

Presentation

Learn how AWS Forecast and machine learning enables retailers to improve sales forecasts, optimize inventory management, automate operational functions, and predict marketing successes.

In this webinar, learn how AWS Forecast and machine learning enables retailers to improve sales forecasts, optimize inventory management, automate operational functions, and predict marketing successes. Additionally, learn how one of SoftServe’s retail clients successfully unlocked working capital—by decreasing inventory dollars by 12 percent without impacting sales—and optimized demand prediction with an inventory forecasting machine learning model on AWS.

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About Speakers:

Valentyn Kropov

Valentyn Kropov, VP of Client Success

Valentyn is a VP of Client Success at SoftServe. Valentyn and his team drive more than 50 projects for 20+ retail customers—globally—resolving old and new challenges of inventory management, demand forecasting, personalization, retail-ready data clouds, and many others. With more than 20+ years of experience in IT, Valentyn remains a passionate early promoter of advanced technologies, like robotics, big data, data science, and automation.  

Paul Miller

Paul Miller, AWS Solutions Builder

Paul is an AWS Solutions Builder specializing in cloud architectures and DevOps automation. His firsthand experience building solutions at scale for the cloud encompasses secure software architecture, design and DevOps. Paul now focuses on AI/ML solutions that enable AWS customers to build faster and innovate on the AWS cloud.

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