EY Demand Forecasting and Inventory Optimization

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