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The green, yellow, and red buffer zones of TOC are a straightforward yet highly effective tool for understanding the current state of inventory and making daily decisions, free from excessive reporting. The buffer zones give clear indication about which areas of the company’s business performance are good, which ones are under risk, and which ones require urgent action. Here follows a structured analysis of buffer zones and their implications.

Walk into almost any wholesale or manufacturing business, and you hear the same complaints: “We are drowning in inventory, yet we still don’t have the right products when we need them.” Classic inventory methods, static min-max levels, forecast‑heavy planning, lots of Excel, were built for a more stable world. In today’s markets, they often generate the worst of both extremes: piles of slow‑moving stock and constant firefighting on key items.

In this article, we describe what buffer inventory management is, why it’s superior to traditional min-max and forecasting approach, and how the StockM inventory management system automates buffers, orders, and assortment for wholesalers and manufacturers in the Baltic States, Nordic countries, Central and other parts of Europe.

Taking into account the current situation in trading and production enterprises, it is evident that in most cases the following picture appears:
• pressure from sales;
• inability to pay for purchases promptly;
• shortage of working capital every month.
Naturally, the CEOs of such businesses find it reasonable to start saving from their inventory. Everything seems clear enough; however, at the same time, precisely in this area they tend to make mistakes that will be paid off dearly afterwards.

AI inventory management is based on algorithms that constantly learn by using information about data flows, supply dynamics, and other relevant internal and external factors to ensure proper stock levels; in other words, not excess, not shortage, but appropriate for real consumption.
With the use of AI, companies can work with an enormous amount of data that would be impossible to analyze manually. AI analyses all the necessary factors and suggests forecasts, safety stocks, and order sizes. However, what should be emphasized here is that with the help of AI, a company does not eliminate uncertainties. Instead, it minimizes them and helps see and respond to them.
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