Demand Planning Augmented Analytics Use Case

Predictive Analytics for Demand Planning

The Objective

Businesses cannot afford to use guesswork in the planning process. To forecast the inventory necessary to meet seasonal demand, the number of suppliers needed to satisfy the need across the country, the need for equipment maintenance to ready plants for peak production, training requirements to meet the needs of a new product – these are just some of the issues a business must anticipate and plan to accommodate.

The Solution

Using data integrated from disparate data sources, augmented analytics can help the business anticipate production demands, plan for new locations to meet demand and identify operational issues. Advanced analytics can also help the business to forecast and predict customer buying behavior and changes in product demand across multiple segments.

This Technique Can Be Used in Many Industries, Including

Manufacturing, third-party logistics, tourism and hospitality, product sales and marketing

Benefits

Plan for market and customer buying behavior changes

Optimize products, features and design

Optimize supply chain, production and distribution

Plan for resources, locations and training

Control inventory

Improve revenue stream and customer satisfaction

We invite you to explore our Advanced Analytics Use Cases here to find out how the Smarten Augmented Analytics product can help you to achieve goals and sustain a competitive advantage.
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