________________________________________________________________________________________________________________
can analyse past harvests in terms of both quantity and quality , in combination with weather forecasts to inform which fields need watering and when to use fertilizer , for example .
Leading animal nutrition company , Nutreco , has achieved additional production cycles of healthier shrimps , while at the same time using 30 percent less feed . The business uses audio sensors in aquaculture to listen to the shrimps , understanding when they are hungry . Machine learning then determines when and how much the shrimps must be fed , which serves to lower the feed conversion ratio and shortens the shrimp production cycle , doubling production without huge intensification .
Global bakery ingredients business , Zeelandia Group , is making good use of machine learning too . The business has addressed the challenges of higher costs and lack of available bakery ingredients by deploying a machine learning model that recommends products and prices to be offered to their bakery customers based on what similar customers are buying . Through the implementation of applied AI , the group has achieved an 83 percent faster time to prepare product recommendations for customers , cutting the time down from 30 minutes to five minutes . As a result of product recommendations taking less time , Zeelandia Group employees can provide a better customer experience in addition to increased revenue per transaction and share of wallet per customer , improving the accuracy and speed of product recommendations and pricing strategies .
Another great example is leading global provider of goat and organic cow cheese , Amalthea . The business is using machine learning to make cheese quality more predictable and to maximize yield , building customer loyalty and boosting sustainability . Previously , Amalthea could only manually analyse milk yield on a weekly basis , which made it difficult to adjust the process parameters to optimize the yield . By using machine learning , Amalthea can now view the yields immediately , as well as receiving direct insight into what is causing a yield change .
24