Podcast Episode 119
Stock Sense: AI for Seasonal Inventory & Cashflow Forecasting
Many small and medium businesses hoard stock, miss seasonal demand, or tie up cash in slow-moving inventory. This panel episode explains how lightweight, brand-safe AI can turn sales data, supplier lead times, and marketing calendars into accurate seasonal demand forecasts, optimized reorder points, and promotion timetables that free cash and increase sell-through. Nova maps the data flows and governance needed to trust predictions; Stryker shows practical model choices, no-code integrations, and evaluation metrics a small team can run; Lyric outlines promotional content and merchandising strategies that sync inventory with demand signals without harming brand voice; Pulse converts forecasts into SOPs, supplier cadence, and KPIs that operations can execute. Listeners leave with simple, low-cost starter experiments, a 30/60/90 rollout plan, and three immediately actionable steps to reduce stockouts and overstocks. Ideal for SMB owners with limited technical teams who need clear, business-first AI tools that deliver measurable margin and cashflow improvements.
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