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ABOUT THIS EVENT

    • Why join: Over a third of the top 50 US retailers report poor forecasting accuracy and lost revenue opportunities due to inventory distortion. Challenges such as shrinkage, stockouts, and overstock cost nearly $1.1T. There’s a need for accurate and streamlined demand forecasting.

      Part of the problem is that over 40 percent of the retail industry uses manual demand forecasting methods. This operational inefficiency limits how quickly a retailer can adapt to shifts in the market and remain competitive.

      This digital event explains how Amazon Forecast uses machine learning (ML) to automate and deliver highly accurate forecasts. Utilizing the same technology as Amazon itself does for its business predictions, Amazon Forecast combines ML, time series data, and variables specific to your company to build better forecasts. It unlocks insights­ that power innovation.

      Two Amazon experts from the AWS Solutions Team—Johny Duval, AI/ML Product Lead, and Paul Miller, Solutions Builder—alongside Valentyn Kropov, Vice President of Client Success at SoftServe, discuss how you can improve sales forecasts, optimize inventory management, automate operational functions, and predict marketing successes with ML and Amazon Forecast.

      We will then showcase how one of SoftServe’s retail clients used this system to unlock working capital by decreasing inventory spend by 12 percent. It had no impact on sales and optimized demand prediction.

      Join us and learn how Amazon Forecast and ML optimize demand prediction, drive cost savings, and increase competitive strength by improving your forecast accuracy.


AGENDA

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

OUR SPEAKERS

  • Rodion
    Myronov

    Data Architect and Consultant

    photo-rodion-myronovrmyro@softserveinc.com

     

    Rodion Myronov has nearly 20 years of data technology experience. Beginning with FoxPro2.6 for DOS, he followed the traditional route of becoming an MS SQL Server and Oracle developer, DBA, and trainer before becoming a team leader and independent consultant. Rodion has also worked on data warehousing and ETL projects based on Redshift, Hadoop, Big Query, and Netezza. He’s collaborated on multiple projects as an architect and consultant, including data lake and data warehouse systems design, assessments, and complex migrations as well as developing data governance frameworks. Today, Rodion manages the direction of AWS projects within SoftServe’s Big Data and Analytics Center of Excellence.

  • Roy 
    Hasson

    WW Analytics Specialist

    photo-roy-hasson

    Roy Hasson is WW Analytics Specialist leader at Amazon Web Services, where he helps transform organizations using data, analytics and machine learning. Roy serves as an expert advisor to customers across all industries to transform their business and become a data driven organization by building a cloud native modern data architecture on AWS. He is also a product leader driven by voice-of-the-customer to guide the development of new innovative services and user experiences for AWS. Prior to AWS, Roy spent 15 years working with tier 1 service providers to design and deploy large scale data systems used to serve today’s cable modem, voice over IP and wireless data services.

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