Artificial intelligence is having a love affair with business in various areas. IT, marketing, sales, logistics, customer service, accounting, administration and many other areas benefit from it. They benefit if they can implement AI and adapt it to their own needs. Artificial intelligence is like clay, it must be properly formed and fired to create something functional.
How to implement AI so that it affects the telegram blast entire company or a selected department and so that it becomes an integral element of company procedures, and not an individual choice of employees?
But let’s start from the beginning, because this question will probably come up very soon…
Is implementing artificial intelligence in business expensive?
We reach for AI to pay for itself, to make it worthwhile. AI currently appears as a new technology, so it must be expensive in principle, which is not entirely true. Although the topic of costs is multi-threaded. Firstly, if we are talking about design costs, we must mention programmer costs. This year we are seeing an explosion of solutions that make it easier for programmers to work with AI and this has a drastic impact on the budgets needed. Secondly, if we want to implement AI in companies, in most cases we will work with the same technologies as before.
Can AI use internal company data?
We should have no doubts here. The most advanced solutions are based on our own models, which we can create based on our internal information.
1. Chatbot for Customers
There is a proven method to harness GPT to answer questions about the company, through knowledge gathered internally. You can have extensive product documentation and want to provide salespeople with an easy tool to find answers so they are more efficient, faster and more precise in accurately responding to customers.
The most popular way to use internal company ai in the development of ai research data is to program a chatbot. This method has been with us for a long time, but they are smarter these days because we can talk to them freely. Develtio created a company chatbot based on internal company data some time ago. The chatbot was trained based on the data we collected on the company’s website. In it, you can:
2. A system that personalizes the entire website
Do you collect information about a website user? How they navigate the site, what tabs they visit, which ones they return to, how long they spend on the site, do you ask for other user data in a form? The AI model can use this data to predict preferences, display banners advertising products, enable a specific sort order for categories, etc.
3. Mechanism for automatic creation of descriptions
If you have 3 products that you direct to customers, then each description of these products is prepared with the greatest care, but what if the offer contains 1,000 or more products? Then it is worth considering whether it bw lists would not be wise to help yourself with artificial intelligence. We have really wide possibilities here. Systems for generating descriptions are widely known. But that is not all.
We can send all the information we have already collected to the language model and ask for supplementation, for example adding information about other product parameters, downloading a photo from the Internet, adding an instruction manual.
In each case, we can ask for the text to be edited in a specific tone of voice. We can finally saturate the description with keywords, which will contribute to better positioning in search engines.
