Discover how Cupset optimized profitability and market agility through a data-driven formula pricing strategy in this compelling case study.
Traditional AI models often rely on historical data to provide pricing recommendations for current and future market conditions. However, these models encounter significant limitations during unexpected, rapid crises—such as the COVID-19 pandemic or geopolitical events like the war in Ukraine. These situations have drastically impacted the cost of energy and raw materials globally, affecting almost every business (e.g., electricity, gas, and other essentials). In these crisis scenarios, conventional AI models struggle with accurate price predictions, often resulting in either underpricing or unsustainable margins.
Cupset’s innovative approach integrates adaptive formula-based target pricing, enabling businesses to navigate volatile markets effectively. This solution dynamically adjusts pricing in response to real-time data, minimizing risks associated with unpredictable cost fluctuations.
See the following slides for details on the implementation process and results.
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