How to Optimize Demand Prediction with AWS Forecast


Nov 04, 2020




Join SoftServe to learn how Amazon Forecast and machine learning (ML) forecasting models helps retailers optimize demand prediction and become more competitive by improving their forecast accuracy—resulting in unlocked capital and increased profit. During the webinar we will discuss how AWS Forecast and machine learning enables retailers to improve sales forecasts, optimize inventory management, automate operational functions, and predict marketing successes. We will also showcase 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.


Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts. Based on the same technology used at, Amazon Forecast uses machine learning to combine time series data with additional variables to build forecasts. Amazon Forecast requires no machine learning experience to get started.


  • Why ML?
  • Challenges in demand forecasting
  • AWS Forecast Solutions
  • Proven ways AWS Forecast improves business outcomes for retailers
  • Q&A


November 4, 2020, 1pm CST


WebEx Digital Event

About SoftServe

SoftServe is a digital authority that advises and provides at the cutting-edge of technology. We reveal, transform, accelerate, and optimize the way enterprises and software companies do business. With expertise across healthcare, retail, energy, financial services, and more, we implement end-to-end solutions to deliver the innovation, quality, and speed that our clients’ users expect.

SoftServe delivers open innovation, from generating compelling new ideas, to developing and implementing transformational products and services. Our work and client experience is built on a foundation of empathetic, human-focused experience design that ensures continuity from concept to release.

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SoftServe Media Contact

Andrew Kavka
Analyst and Public Relations Lead