Demand Genius™

Demand Genius™ uses machine-learning models to analyze historical data and identify the top-performing models in accuracy, error, and financial impact. Each model competes in multiple rounds until a new “champion” surpasses the current best. By challenging your current models with other models each month, Demand Genius™ validates assumptions and identifies shifts in demand patterns.

With Demand Genius™, you can right-size inventory and optimize production by forecasting at the product level, considering factors like seasonality, product attributes, and industry sales patterns.

Key Benefits: -Forecast with greater accuracy -Right-size inventory and optimize production -Reduce disruptions -Decrease operational costs -Make data-driven decisions -Save time with automated forecasting -Improve customer satisfaction

What You Get with Demand Genius™: -Champion versus challenger framework -AI models for four industry-standard sales patterns: lumpy, intermittent, erratic, and smooth -Expert model customization and training from data scientists who understand your business -Forecast performance dashboard that tracks KPIs to assess forecast accuracy over time -Ability to export forecasts for import into any data source or system

Implementation Overview: During the implementation phase, our team collaborates with your stakeholders to ensure a seamless deployment of Demand Genius™. This includes data preparation, model training, validation, and user enablement to ensure long-term success.

How We Leverage Microsoft Azure: Demand Genius™ is built on Microsoft Azure, utilizing its robust cloud infrastructure and AI capabilities to deliver scalable and secure forecasting solutions. During the engagement, we: -Deploy machine learning models using Azure Machine Learning for training, validation, and deployment -Store and manage data securely using Azure Data Lake and Azure Blob Storage -Use Azure Synapse Analytics to integrate and analyze large volumes of historical and real-time data -Enable seamless integration with your existing systems through Azure Data Factory and Azure Logic Apps -Provide monitoring and insights through Azure Monitor and Power BI dashboards hosted on Azure

Deliverables: -Data onboarding and cleansing: Assistance with preparing and formatting historical sales and inventory data -Model configuration and training: Tailored setup of AI models based on your product attributes and sales patterns -Azure integration support: Deployment and configuration of Azure services to support forecasting workflows -Champion-challenger setup: Deployment of the model competition framework to continuously improve forecast accuracy -Forecast performance dashboard: Custom dashboard setup to monitor KPIs and model performance -Integration support: Guidance on exporting forecasts into your ERP, CRM, or planning systems -User training and documentation: Enablement sessions and reference materials for your team to manage and interpret forecasts