<ul><li>Pricing teams struggle with data overload and inefficiencies in translating mental models into pricing decisions.</li><li>Strategic data reduction led to more accurate pricing decisions by cutting token usage and computational overhead.</li><li>Integrating sentiment analysis of customer feedback into pricing workflows enhanced pricing elasticity models, resulting in higher price points for positively perceived products.</li><li>Implementing cost-saving measures in cloud data querying and ensuring a cost-conscious data architecture are essential for economic sustainability in pricing automation.</li></ul>

The Invisible Hand: What I Learned Building a Pricing Automation Agent That Thinks Like a Human…

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