____________________________________________________________________________________________________________________ AI
I believe the future winners will be the ones who embrace and explore this new technology , proactively tackling challenges and use it to create opportunities . The ones who are slow to respond are likely to fall behind .
There are different types of AI , such as machine learning ( ML ) and generative AI ( GenAI ). They all have their different use cases . ML is great to deploy for custom models tailored to specific manufacturing processes . It can be used to forecast trends , anticipating issues before they impact the business , generating actionable insights and predictions across the entire operation . GenAI can be used for content creation and analysis by harnessing the power of large language models .
Below are a few examples , but far from all , of use cases where AI can be applied successfully :
■ Analyze customer feedback , and automate document processing
■ Boost revenue by predicting demand , optimizing inventory levels , and reducing excess supply . This is even more important when working with products with short shelf life , where fresh is important , since it is a component of the overall quality
■ Dynamic best before date : leverage multiple data points to set the optimal best before date
■ Optimizing yield by collecting manufacturing parameters , such as temperature , humidity , protein and fat content , etc . When all this data is analyzed , the machines can identify trends that would take too long for humans to see , and then it would be too late to action on it
■ Pricing and product recommendations based on previous purchases , from the specific customer , but also from other customers with similar buying patterns
These are only a handful of examples . There are many more . Infor , we always sit down with our customers to discuss what their biggest challenges are , and if resolved , would generate the biggest business impact . The objectives differ . It can be to improve customer service , increase the yield , or reduce waste . Of course , AI can ’ t solve everything , but it is surprising to see how much it can address and the associated positive business impact it generates . If done right , it is also fascinating how quickly these projects can bring value , typically within 60-to-90 days . It almost sounds too good to be true , but it is not . The reason for that is that companies can leverage AI without having to rebuild their infrastructure . Infor ’ s platform connects directly to existing ERP , CRM , and supply chain systems .
At Infor we work with many leading food and beverage manufacturers to leverage this new and exciting technology to make them more competitive . Success typically comes when industry knowledge is coupled with technology . When we do this together , we manage to optimize the workforce for maximum efficiency , cut costs , and boost employee satisfaction . ■
For a list of the sources used in this article , please contact the editor .
Mikael Bengtsson www . infor . com / en-gb
Mikael Bengtsson is Industry and Solution Strategy Director for Food & Beverage at Infor . Infor is a global leader in business cloud software products for companies in industry specific markets . It builds complete industry suites in the cloud and efficiently deploys technology that puts the user experience first , leverages data science , and integrates easily into existing systems . Over 65,000 organizations worldwide rely on Infor to help overcome market disruptions and achieve business-wide digital transformation .
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