HOW CAN COMPANIES IMPROVE AGILITY?
START BY THINKING
With holistic end-to-end supply chain planning.
What can business leaders do?
This study highlights the importance of real-time data to achieve agile, digitally-enabled supply chains.
in annual sales
across many industries
OIL & GAS
FOOD & BEVERAGE
Be Agile. Be Resilient.
Download the 2019 Forecasting and Inventory Benchmark Study to learn how!
GET THE STUDY
Can real-time data and AI help you become more resilient too? Yes, and it dramatically cuts business exposed to extreme error.
BE MORE RESILIENT
To find out more:
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THREE KEY OBJECTIVES:
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Sense and respond rapidly to changes in consumer behavior.
Weather unexpected and large disruptions in demand or supply.
How well is your supply chain responding?
Supply chains are naturally designed to manage uncertainty...but many are being pushed to new limits.
First, business leaders must overcome the biggest forecasting challenge:
Traditional demand planning is based on history.
But the lack of history for new products is a challenge.
High forecast error, lost sales and service hits.
Can Artificial Intelligence (AI) and real-time data help you become more agile?
Yes, and it cuts forecast error by 36%!
Demand sensing provides the agility to quickly pivot and capture more sales revenue.
Manage extreme error to improve resiliency.
Extreme error is when sales are
What is extreme error?
higher than forecasts or vice versa.
Traditional forecasting is disconnected from current events, exposing supply chains to high levels of extreme error. This is the most costly and disruptive error for businesses.
Just how BIG of a problem
is extreme error?
1/3 of sales volume is exposed to extreme error!
Over half of extreme error can be cut by demand sensing.
Become more resilient and dramatically cut extreme error!