EY Demand Forecasting and Inventory Optimization

Solution overview

The Demand Forecasting and Inventory Optimization solution addresses inventory management complexities with advanced technology.

It builds a trusted data pipeline to standardize and scale data and models using predictive data analytics to improve decision-making for demand forecasting and inventory optimization:

• Utilizes machine learning (ML) to maintain precise inventory levels for each location and stock keeping unit (SKU)
• Employs predictive analytics to consider seasonal shifts, holidays, new products, intermittent demand and demographics
• Allows enterprises to simulate and improve ordering with various testing scenarios, adapting to market changes

Solution benefits

Organizations using Demand Forecasting and Inventory Optimization services can:

• Improve customer experience with the right inventory
• Incorporate customer-specific demand forecasting with predictions at the location and product level​
• Capitalize on previously unmet customer demand and untapped sales, and improve customer satisfaction by maintaining sufficient supply​
• Simulate inventory strategies before deployment
• Leverage vast data using Microsoft Azure cloud technology