Food Chain - Issue 195 - August 2023 | Page 18

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pursue but from an investment perspective , they ’ ll be others that we can ’ t . Whatever we do , it must be a win for the customer ,” Andrew asserts .
Inevitably , many of Infor ’ s successful solutions for its customers surround enabling enhanced operational efficiencies . “ Increasingly ,” he continues , “ machine learning and artificial intelligence are being implemented to identify anomalies and correlations in data trends , which enables the optimization of manufacturing yields in food and beverage manufacturing . From errors in the warehouse to robotic process automation , it ’ s important to remove nonvalue-adding tasks and errors . Certainly , considering how common worker shortages are in the industry , automating mundane tasks and ensuring people are doing the value adding activities is key .
“ As such , it ’ s far more beneficial for a company to be able to buy a solution with built-in capabilities rather than having to add to existing tools .” From food safety , quality , and compliance to increasing operational productivity and enhancing speed-to-market , Infor ’ s ERP solutions can transform operations .
“ We are providing the sorts of capabilities needed in the food and beverage industry . Take , for example , a recent case study for a cheese company and its yield optimization . While milk supply varies from season to season , and batch to batch , by taking various ingredients and environmental factors into account , it ’ s possible to calculate yield and then fine-tune processes to optimize the outcomes .
“ Another example is in the use of artificial intelligence and machine learning to examine the characteristics of different
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