FAQ
How to create trust in AI-powered Forecasting?
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More InformationCan AI be trusted?
The key is demonstrating consistency and anchoring the AI’s logic to existing business hypotheses. It’s about strategically showing the effect of every new data point, transforming AI from a mysterious predictor into a transparent, trusted partner.
Building trust is a big part that we see is important not only in forecasting but also in machine learning implementation in organizations.
How to get started with AI Forecasting?
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More InformationHow to move from manual effort to AI-powered value?
Start small, focusing on a pilot with one or two key products or business units. There is a critical need for clean data and setting realistic business goals. This approach brings immediate value to your most important products.
Let's not look for the 100% solution. Let's look for the 80% solution.
How to react quicker to market changes?
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More InformationNavigate volatile markets leveraging AI-powered forecasting
Spending weeks on planning while the market shifts underneath you? Unlike manual processes, AI models are designed to be highly sensitive to short-term spikes or changes. Our platform is allowing managers to proactively ask the right questions and confirm the trend, rather than spending time crunching numbers.
You don't have to bother spending two weeks to do the planning. This happens consistently every month.
Will AI-powered forecasting replace planners?
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More InformationHow to successfully work WITH AI
AI-powered forecasting is not meant to replace Supply Chain Planners. The ultimate goal is a superior forecast achieved through the combination of human market intelligence and AI precision, a partnership that is always better than either working alone.
It shifts the role of a planner from just trying to guesstimate and put data in, to a more cognitive skilled person who looks at results and question them.