AI Stock Management: 40% Inventory Cost Reduction
The Problem
A mid-sized ecommerce business operating across multiple product categories was experiencing a familiar but costly operational problem: simultaneous stockouts and overstock. Their manual inventory management process — built around weekly spreadsheet reviews and reactive reordering — was unable to keep pace with the variability of demand across 400+ SKUs.
Stockouts on high-demand products were costing an estimated €8,000 in lost sales per month. At the same time, excess inventory in slow-moving categories was tying up €45,000 in capital and generating storage costs of €2,200/month. The purchasing manager was spending 15 hours per week on inventory reviews and supplier communications — time taken directly away from supplier relationship development and pricing negotiations.
The business needed an AI system that could predict demand accurately, automate reordering, and free the purchasing team from manual stock management entirely.
The AI Solution
DMC IA deployed a three-component AI stock management system:
Demand Forecasting Engine
An AI model trained on 24 months of sales history, incorporating seasonality patterns, promotional calendars, and external demand signals. The model generates 30-day demand forecasts for each SKU, updated daily.
Automated Reorder Agent
An autonomous AI agent that monitors predicted stock depletion for each SKU, calculates optimal reorder quantities based on lead times and holding costs, and automatically generates and sends purchase orders to approved suppliers when stock reaches the AI-calculated threshold.
Inventory Optimisation Dashboard
A real-time dashboard providing full visibility into stock levels, pending orders, demand forecasts, and AI-generated alerts for any anomalous stock movement or supplier delivery delay.
The system integrated directly with the business's existing ecommerce platform (WooCommerce), accounting software, and supplier portals — requiring no changes to existing tools or processes.
Results After 90 Days
Reduction in total inventory carrying costs
Reduction in stockout incidents (from 34/month to 3)
Hours per week reclaimed by purchasing manager
Monthly saving in combined stockout losses and excess stock costs
Within the first 90 days, the AI stock management system had reduced total inventory-related costs by 40%, virtually eliminated stockout incidents, and freed the purchasing team to focus on supplier negotiations — which generated additional savings through improved pricing terms.
The system now operates entirely autonomously. Supplier orders are placed, tracked, and reconciled without any manual input. The purchasing manager reviews a daily AI summary that takes under 5 minutes to read.