AI-Driven Demand Forecasting: 8-wk Implementation

This Implementation delivers an AI driven demand forecasting QuickStart built on the Microsoft Azure Data Platform and Power Platform. The engagement entails a strategic overview of demand forecasting and business goals, analysis of existing business drivers and demand planning processes, implementation, and user adoption. With expert guidance from a senior BlueGranite supply chain consultant, this engagement helps organizations increase demand forecast accuracy, accelerate supply chain response to demand changes, and create a continuous feedback loop for constant learning and improvement. The resulting QuickStart will set your organization on a path to leverage AI driven demand forecasting to reduce inventory costs and reduce lost sales!

Activities and topics:

Analysis & Design Workshop

• Expert-led presentations on Azure Data Services including Azure Databricks, Data Factory, Data Lake Storage, Synapse Analytics, and more!
• Exploration of demand forecasting challenges, business goals, and existing infrastructure
• Definition of QuickStart scope, demand planning inputs, forecasting process requirements, and analytical requirements

Azure Environment &Architecture

• Deploy Azure infrastructure & landing zone; BlueGranite Data Lake Hydrator for rapid data ingestion
• Deploy Power BI and Power Apps infrastructure

Demand Forecasting Implementation

• Demand Forecasting process development: data acquisition, creation of AI demand forecast process with interactive dashboards
• Interactive dashboards include:
• AI forecast creation, and planner-led modification and approval
• Performance evaluation of AI forecast vs planner-led modifications

User Feedback and Adoption

• BlueGranite guided training and user adoption over several planning cycles

Hand Off & Recommendations

• Environment hand-off, Azure estimate, and recurring AI support options
• Recommendations for next steps to increase your supply chain optimization and automation