Can AI/ML forecasting help improve your forecast accuracy rapidly?
Yes it can, learn how-to in this white paper.
Rapidly changing customer demand emphasized by the current pandemic context is an increasing concern for every company across industries.
Let us ask you the following questions:
- Is connecting leading indicators of demand with your internal enterprise data proving challenging?
- Is your current forecasting process on a weekly/monthly cycle and only supported with lagging indicators driving statistical forecasts?
- Are forecast accuracy issues causing a lot of friction between Finance, Sales and Supply Chain?
- Are you not sure if you have the right data to use ML/AI Forecasting?
If these are the questions you are facing, help is here.
Forecasting accuracy challenges, a demand planners perspective.
Hear the pain points of a demand planner in managing the forecasting process.
Forecasting causing S&OP friction
Must watch funny perspective for your Sales and Supply Chain teams.
Are you facing challenges in managing your revenue planning process?
CROs often struggle with bringing the right data together in a timely manner. This limits their understanding of what is causing gaps in plans and forecasts. But more importantly, it makes taking the right steps to close them problematic. There is a better way.
How to unlock significant value with o9’s demand planning capabilities
o9’s demand planning approach excels in providing the user with actionable insights, allows easy collaboration and leverages built-in models for new product introductions. It is also capable of running a variety of scenarios through ML-powered, driver-based forecasting.
How can o9’s differentiated machine learning approach help you improve forecast accuracy?
Machine learning can turn data into predictions—a powerful capability that’s playing a critical role in next-generation supply chain planning. Traditional forecasting models are backward-looking and don’t incorporate leading indicators and demand drivers to predict future demand. o9’s platform is different.
How to unlock significant value with :o9’s demand planning capabilities
o9’s demand planning approach excels in providing the user with actionable insights, allows easy collaboration and leverages built-in models for new product introductions. It is also capable of running a variety of scenarios through ML-powered, driver-based forecasting. Typically, the platform delivers a reduction of 3-5% in lost sales, 5-15% in inventory, and five to ten times more productivity.
Download these use cases to learn from industry leading companies who have implemented o9’s AI powered forecasting capabilities
What’s next?
Schedule a demo
The :o9 team will demonstrate how machine learning forecasting will look like in the platform. And which benefits it can generate for your business.
Get trained
We offer you a free 90 minute group training on machine learning forecasting. This training includes insights on data collection, feature engineering and training and tuning machine learning algorithms.
Talk to an expert
Schedule a one hour call with one of our experts who can review your current program and initiatives. And can provide practical insights on how to accelerate your machine learning forecasting journey.
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