Podcast Episode 145
The AI Inventory Crystal Ball: Turning Stock Data into Cash Flow Without Guesswork
Inventory mismanagement silently drains cash from small and medium businesses every day—overstocked shelves tie up capital, while stockouts send customers straight to competitors. Most owners rely on gut feeling or spreadsheet formulas that are outdated the moment they are created. This episode reveals how accessible AI tools can turn your existing sales history into a predictive inventory system that anticipates demand, automates reorder points, and flags slow-moving items before they become costly write-offs. Nova explains how to structure your data for machine learning models without a data science degree. Stryker walks through lightweight AI tools and APIs that integrate with your current point-of-sale system. Lyric shares how better availability translates into stronger customer trust and repeat purchases. Pulse delivers a step-by-step framework to implement demand forecasting in under 30 days, starting with the data you already have. Listeners walk away with three actionable insights to reduce carrying costs, improve cash flow, and keep customers happy—without overhauling their entire operation.
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