Stockimizer – AI-powered inventory optimization to reduce costs and stockouts

Summary: Stockimizer uses machine learning to optimize stock inventory by applying 16 advanced metrics including safety stock, EOQ, and demand forecasting. It integrates with Shopify and supports CSV uploads, enabling businesses to reduce inventory costs by 20-30% and stockouts by 40-60% while improving profitability.

What it does

Stockimizer employs a smart forecasting engine that selects methods like SARIMA and Croston's for demand prediction. It provides backtesting with a 50-50 data split to demonstrate potential savings and works alongside existing ERP systems.

Who it's for

It is designed for retail stores, e-commerce shops, manufacturers, and wholesalers managing stocked products.

Why it matters

It addresses outdated inventory methods by reducing carrying costs, minimizing stockouts, and freeing excess inventory to improve operational efficiency.