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

EY Demand Forecasting and Inventory Optimization

durch EY Global