Management software

feed formulationagriculturalAI

Predict finished moisture and formulate to the true target. BESTMIX Insights predicts finished moisture from your production line's own history and recommends machine settings to hold it on target. It is a supervised machine learning regression model, not a chatbot and not a language model. Its purpose is to remove the safety margin you are paying for on every ton. The safety margin you are paying for Finished moisture moves from batch to batch. A wet batch dilutes the nutrient concentration, so to protect the label on every batch, formulators pad the formula with a safety margin sized for the worst batch. That margin is paid for in raw material on every ton you run. Insights predicts finished moisture, so the formula can be set to the true target instead of padded for the worst case. Steady moisture is the mechanism that lets the margin come down. What kind of AI this is Insights is a supervised machine learning regression model. It learns the relationship between the line's settings, the formula, and the conditions from the plant's own history, and predicts a number: finished moisture on the next run. It is not a chatbot and not a language model. Naming the real technical category is our credibility position, because it tells you exactly what you are relying on. How it works Insights reads the plant's process data and formulation specifications together. Because BESTMIX holds the formula and the finished specification, it can relate what the line did back to what the formula requires. That link is the loop. It predicts finished moisture for the next run, and it recommends machine settings from the same history to hold moisture on target.