A simpler purchasing algorithm, such as a min/max approach, uses static, outdated data and calculates on the average of the past month to forecast inventory for the coming months.
This means that changes in demand, peaks, seasonal trends and market conditions are not accounted for. The result: frequent under- or overstocking, and the risk of lost sales or wasted inventory.
Optiply, on the other hand, works with data updated in real-time, so our forecasts are always current and react immediately to changes. This ensures that your inventory is optimal and you don't risk losses due to under- or overstocking.
Want to see how much you can save with Optiply compared to a min/max module? Calculate the difference here.