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Generative AI for CPGs: The Latest Use Cases to Boost Operations

Still in the early days, ChatGPT and Google's Gemini are tools not yet used broadly by packaging companies, but those brave enough to try are finding surprising results.

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Hardly a day goes by that we don’t hear something about AI. Whether its generative AI tools like ChatGPT and Gemini, or AI used in machine learning, we are all abuzz with the idea of artificial intelligence.

One AI tool that has widespread attention is ChatGPT, a chatbot based on a large language model developed by OpenAI. Another is Gemini, Google’s conversational generative artificial intelligence chatbot. These tools are designed to understand natural language and generate human-like responses to various prompts, or user queries. These programs have been trained on a massive amount of data and can simulate human-like conversations by generating text-based responses to prompts.

Generative AI is being used by people all over the world to complete any given task at a faster rate. For use at home, such uses include recipe ideas, travel help, and summarizing large amounts of research or data. For business use, it gets more specific. 

An article on Northwest Executive Education shared eight business use cases for ChatGPT that range from aiding with customer service, recruiting, and employee training, to things like content creation, marketing, financial analysis, and legal services. Depending on your prompts, generative AI tools can help businesses make better decisions and save your team a lot of time.

Tapping Into More Knowledge

John Walker, Manufacturing, Supply Chain and Infrastructure Investments (CAPEX), Maintenance Repair Operations (MRO) at Mondelez International shared with me the three ways his team has started to use generative AI to help with spend management.

As it pertains to spare parts across the company’s many factories around the world, Walker says he uses generative AI to connect keywords to categories for improved spend cube management. For those not in this line of work, a spend cube is a tool for procurement departments to review and analyze historical spend data. By presenting the data in a multidimensional cube, it allows stakeholders or departments to review subcategories of purchases, compare spending across different suppliers as well as gain insights into trends within their organization. As an example of generative AI’s functionality, and since this term was new to me, I prompted Gemini to define spend cube management.  

“We use it to run very generic questions,” says Walker. “What’s another name for a flange? What’s another name for a bearing? This plant calls it a bearing, this person calls it a different thing. By clustering those terms, can do a better data search and get a better handle on spend cube management.”

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