ML Forecasting for FMCG: 4-Week Proof of Concept

The FMCG industry is a fast-moving industry. To manufacture products based on consumer demands and other factors that are affecting the demand, businesses must be able to accurately forecast 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 FMCG (fast-moving consumer goods) companies implement forecasting models quickly and efficiently, propelling their business to the next level.

Target Customers

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

Agenda

• Initial assessment of your current data infrastructure and forecasting needs, specific to the FMCG industry
• 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

Deliverables

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

Benefits

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

Contact Us

Explore FMCG forecasting with machine learning. Email Sales@maqsoftware.com for details on our 4-week proof of concept.