1-10 employees
A fashion boutique was constantly overstocking slow-moving items while running out of popular sizes. This led to $25,000 in dead inventory and lost sales from stockouts.
Deployed a lightweight AI inventory forecasting tool that analyzes historical sales data, seasonal trends, and local events to predict demand. The system provides weekly restocking recommendations.
Connected the AI tool to their Square POS system via API. Uploaded 18 months of historical sales data. The AI learned seasonal patterns and size preferences. Weekly reports sent via email with recommended order quantities.
The AI needed at least 12 months of data to make accurate predictions. Manual adjustments were still needed for unexpected events like local festivals. The system paid for itself in the first month by preventing a $3,000 overstock order.
Don't blindly trust AI recommendations initially. We cross-checked predictions against our intuition for the first 2 months and found the AI was 85% accurate, which built our confidence.