The guide highlights how AI and data science help retailers price fresh items more effectively by addressing common challenges such as volatility, seasonality, multiple vendor complexities, and complicated product hierarchies. Advanced modeling techniques and dynamic pricing enable retailers to respond quickly to market changes, optimize costs, and automate processes. By leveraging AI, retailers can better manage price perception, improve forecasting, and ensure pricing accuracy across fresh products. Revionics' solutions facilitate these improvements, helping retailers stay competitive in a challenging retail environment.

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