Demand Forecasting: 5-Week Proof of Concept

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.

Our Demand Forecasting offering will help you make informed decisions on inventory management, production schedules, and pricing strategies by analyzing historical data and market trends.

Target Customers

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

Agenda

• Initial Consultation: Understanding your business needs and current demand forecasting methods.
• Data Collection and Preparation: Gathering and preparing relevant demand data for analysis.
• Model Development: Developing demand forecasting models using advanced algorithms and tools.
• Validation and Optimization: Validating and optimizing models to improve accuracy.
• Integration: Integrating demand forecasting models with existing systems and processes.
• Progress Reports: Providing regular progress reports and updates on model performance.
• Final Presentation: Presenting results and recommendations for future demand forecasting efforts.

Deliverables

• Comprehensive demand forecasting models and their implementation plan.
• Regular progress reports and model performance tracking.
• Presentation of results and recommendations for future demand forecasting efforts.

Benefits

Improved accuracy of demand forecasts, reducing over- or under-stocking of products.

Increased visibility into future demand trends, enabling proactive decision-making.

Reduced excess inventory, thereby reducing total operational costs.

Increased efficiency and cost savings through optimized inventory management.

Ability to plan for peak periods with accurate forecasts of future needs.

Better alignment of production and supply chain processes with the availability of demand patterns.