SalesPrescribe: AI-Driven Sales Forecasting
Revolutionizing sales forecasting with SalesPrescribe, an AI-powered model for accurate forecasts. This resulted in better inventory management, optimized restocking decisions, and increase revenue with precise forecasts up to two years in the future.
noun /ˈbreɪk.θruː/
Solved for good
Precise Sales Forecasting
Overcome the limitations of classical algorithms for a more accurate and efficient sales forecasting experience.
Optimal Restocking Decisions
Utilize the power of AI to determine when and what to restock, minimizing financial losses and maximizing revenue.
Long-term Forecasting
Gain insights and predictions for up to two years ahead, enabling better business decisions in an unpredictable world.
Inaccurate predictions & losses
The Forecasting Dilemma
Since 1982, Rosenberger GmbH has been producing high-quality steel parts through industrial processes. However, one major challenge they faced was sales forecasting, with classical algorithms often falling short in precision. This led to suboptimal purchasing and restocking choices, resulting in significant financial losses as they struggled to predict steel price fluctuations from inventory and order data.
Accurate AI forecasts
SalesPrescribe Solution
The solution comes in the form of SalesPrescribe, an AI-driven model that leverages both Rosenberger's internal data and external sources to provide more accurate revenue forecasts compared to traditional methods. Offering insights for up to two years ahead, it delivered effective results even during the Covid-19 pandemic in 2020. By utilizing SalesPrescribe, Rosenberger can now make well-informed restocking choices that lead to substantial cost savings and revenue growth.
What can be solved?
Everything.
However here are a few common pain points that we often see, which can be solved through our programs and will lead to an AI breakthrough.
Get started with AI
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