Within that, I covered how Chat GPT and similar technologies can be used as a source for ideas in many different scenarios, including writing articles (not this one!), writing newsletters, assistance with social media posts, writing job adverts, planning, warehouse management, stock control, training, finance and other operational areas including the ability to find topics in your manual.
Over the last couple of months Google, Bing, etc. Have begun providing AI-driven results from questions. Personally, I find this much more useful than seeing results with meaningless companies that have paid for SEO meaning you have to scroll. In fact, AI prompts have started popping up on social media, asking if you want an AI tool to review the post. It will be interesting to see how these things develop over the coming weeks and months.
So, following my last article what other uses does AI have? Let’s start with property-based businesses. AI can analyse what is the most suitable street to locate my business. It can look at what location most people interested in a topic are living in, what is the average disposable income for that area, how pedestrians and vehicles travel around the area and what type of product do consumers purchase. Knowing this can actually determine what the business should be or whether it should be set up at all – probably much more important. How can it gather that type of information? Some will already be known by the tool, but more specific can be loaded from your existing network.
I mentioned this briefly previously but you can create avatars of yourself or management. This can be done by taking pictures, videos and recording the sound of the voice. It can create an avatar, which once you’ve uploaded your operations manual could read the answer or take you to the page or give guidance.
To give a little more detail on uploading your Operations manual, one franchisor that undertook this saw a 25-30% reduction in calls to them seeking the answer because they couldn’t find it or just didn’t want to try, based on past experience of not finding what they were looking for. This enabled support to concentrate on more beneficial activities, like business development.
However, bad AI can be better than no AI. For example, staff might write poorly to customers, whereas an AI tool, provided it’s not trained that way, can write polite responses and answer the questions. It is of course only as smart as the information it receives, so the data and it needs lots, should always be checked independently. Over time you should feed everything you know into the tool so that it can provide a rounded answer that takes into account all it has learnt about your business.
In summary, I don’t think business is there yet but it will become essential but will only be as good as the data it has or you feed it and it will do the work for you, as I have highlighted during these last few articles.
Next time – a very different topic – IoT.
