The goal of this article is to highlight the profits of utilizing OpenAI & ChatGPT in your marketing strategies and digital products.

The intelligence is artificial – but the profits are real 

Large companies are increasingly turning to solutions based on artificial intelligence. And they have a point, these algorithms can effectively optimize advertising campaigns, understand the user’s intentions and choose the right products to offer in addition to the ones already in the shopping cart. One can argue that “we’ve seen that before” and I agree, however, the amount and accessibility of AI-based services keep growing, and with that, the price keeps getting lower with an ever-increasing spectrum of functionalities. There is no need to gather an army of developers, and organize special teams in corporations to, for example, implement an expert system based on AI. Bringing about this type of service involves a key issue: organizing data (often scattered among different systems) and tidying up procedures. Before the roll-out of any artificial intelligence algorithm in one’s company, one should consider how to train it. This can be only done by showing it the correct solution or operation.

So by considering this type of implementation whether it’s a chat or other artificial intelligence system, you need to consider the target client, put yourself in their shoes and above all pick the best path. This exercise, on its own, will increase the quality of products and services in the eyes of our clients. The data, often distributed among different systems, needs (or at least should be) gathered into groups and determine which are valuable from the point of view of the target client. Why am I writing about this? Numerous companies forget about the constant need to optimize this process. If there is no such habit of process revision, then implementing it along with an AI tool might be a good idea.

OpenAI represents new opportunities.

OpenAI & ChatGPT technology is worth opening up to

Opening up to new trends is a wise move on behalf of large companies. In this case, optimizing processes or tweaking indicators by tenths of a percent results in reaching a larger audience (in percentage terms, this translates into a large absolute number). Let’s assume that organization X has an online store. They sell construction materials and accessories. Introducing their products to different segments of their client base should be nuanced. A client who wants to hang a shelf will search for a product differently than a specialist, who knows what type of product is needed but would like to know how close to the edge they can drill.

Clever tables, tabs, short descriptions or other UX specialists’ tricks (who do a great job) can be combined with AI which will identify if the visitor is a professional or a “home handyman”. What is more tempting for a typical John Smith, asking a chatbot “what should I use to hang a shelf” or jumping through tables filled with parameters to find the right product? Moreover, Ai based chatbots are available 24 hours a day. That is a service in the spirit of WEB 3.0!

Increase in quality of experience.

With the increased indicators comes the most significant (for me at least) aspect of AI implementation, the improvement of experience for real-life users. The target users are not always clients who use the e-commerce, website or app. It can be the employees of said organization. Our company implemented e-learning modules based on SCORM system for big clients many times. We went through many sessions of brainstorming trying to find a way to make sure that the user would remember the contents of said course. Animations, creating heroes who will accompany the user during the course and still… I have a suspicion that once the training was done, some of the knowledge got instantly lost (if not instantly, then after some time). E-learnings are great (and those created by us are even friendly) and I think they are still the primary way to convey knowledge. Nevertheless, it’s important to consider if such e-learning should be supplemented by an expert system which after some months will allow the employee to determine if a certain situation did or didn’t breach the company’s code of ethics. Moreover, it might help the employee determine what to do about it. It is a very efficient tool for advising, answering questions and getting to the right information as quickly as possible.

Let’s talk about OpenAI & ChatGPT

Currently, Artificial Intelligence is not a solution upon which I base the entire core of an organisation. It is a great supplement to existing mechanisms, it can support client service, and supplement or facilitate work of many companies. On more than one occasion, we see articles with sensational headlines like, “….AI turned out to be smarter than a human”, or “…AI passed National Medical Exam”. This creates an urgency among the heads of organisations to have an AI-based solution for their company right now, the budget magically stretches to find additional funds. We also support our internal processes with created neural network algorithms in processing certain data. We openly discuss with our clients if solutions based on OpenAI will be a good fit for them or not – we do not try to convince them that it will aid them in everything.
As an agency, we are aware that the cheapest code to maintain is the one that isn’t and if the AI-based solution will be a fifth wheel in their business, we openly say so. Analysing trends, drawing correlations between research data, and sentiment analysis of behaviour in the products we create (yes, it happens in our company!) are some of the tasks we collaborate on with AI.

Hello, it’s OpenAI & ChatGPT

Thanks to machine learning algorithms, artificial intelligence can analyse user behaviour on the website and adapt the information and products presented to them in real-time. Moreover, since they can

respond to customers in real time, the algorithms can significantly increase the effectiveness of conversions and thus boost a company’s revenue. The company’s use of AI can reduce the workload of employees who normally respond to customer enquiries increasing their productivity and efficiency.

As an interesting side note, one part of this article was written by an OpenAI system, I wonder if you can tell which one. If you are not sure and would like to know the answer, please email me.

Hasta la vista!