ML Forecasting for Retail: 4-Week Proof of Concept

MAQ Software

Make data-driven decisions and stay ahead of demand by implementing a demand forecasting model

The retail industry is an ever-changing industry. To cope with current market demand as well as the future demands businesses must be able to accurately forecast demand to stay ahead of the competition in this global marketplace. Demand forecasting helps businesses to avoid stockouts and overproduction.

Our comprehensive approach helps you improve your demand forecasting accuracy and drive results for your business. Using Azure machine learning solutions like Azure Machine Learning Studio and Azure Databricks, we will build a proof-of-concept model that can provide you with precise demand forecasting and advice on how to optimize your warehouse.

This comprehensive 4-week program is designed to help you implement forecasting models quickly and efficiently, propelling your business to the next level.

Target Customers

  • Data scientists
  • Machine learning engineers
  • IT professionals
  • Business leaders


  • Initial assessment of your current data infrastructure and forecasting needs
  • Selecting recommendation algorithms suitable for your sales, demand, and inventory structure
  • Data preprocessing and cleaning
  • Model training and evaluation
  • Deploying and monitoring of the model
  • Evaluation of model performance


  • A customized forecast model tailored to the requirements of your retail business
  • A report on the performance of the model
  • Overview of latest forecasting techniques and tools specific to the Retail industry
  • Detailed documentation of the entire process


  • Improved accuracy and efficiency for your sales, demand, and inventory, increasing your business's competitiveness
  • Reduced time and resources required for forecasting through the use of an advanced model
  • Receive assistance with integrating the forecasting model into your existing systems and processes

Contact Us

Enhance retail forecasting with ML. Questions or inquiries? Contact us at