Examples of Neural Networks in Business

Neural networks in business

From automated email newsletters to delivery robots, artificial intelligence covers various business areas. And if earlier there were many skeptics who did not believe that a machine would ever become no less perfect than a human brain, now it is difficult to deny the possibilities of artificial neural networks. And the most striking example of this is an unmanned vehicle capable of making non–standard decisions on its own, depending on the situation on the road.

Neural networks are actively used in everyday life for study and entertainment, in various industries, medicine, science, and the financial sector. But AI tools are especially popular in business. Large corporations have already implemented neural networks to the maximum in business process management. But gradually, small businesses are beginning to benefit from the achievements of high technology. Otherwise, you will not be able to stand up in a competitive environment. And we will discuss examples of neural networks in business in the article.

Is it possible to use neural networks in business

Web services with embedded artificial intelligence are not only possible, but even necessary to use in the work of every enterprise, be it manufacturing, retailing, services, trucking, etc. For example, neural networks in marketing segment the audience and develop personal advertising offers. Customers have great confidence in a company that offers something that can be useful to them, rather than bombarding them with standard promotional newsletters.

Recruitment agencies and human resources departments use neural networks to create job advertisements, write job descriptions, review resumes, and create personalized training programs for employees. In administrative work, AI can automate repetitive tasks: data entry, scheduling, and answering emails, freeing up specialists for strategically important tasks. AI security systems monitor and analyze data in real time to identify potential threats, technical failures, and the likelihood of confidential information about employees or customers being leaked.

Another striking example is the use of neural network services in retail. AI tools predict changes in demand, which helps to avoid shortages or surpluses of goods. Automatic systems analyze the market taking into account competitors, seasonality, local prices, and customer behavior in order to optimize the cost of goods. Neural networks even help to properly place products on the shelves, depending on the movement of customers around the sales floor. For example, bakery products and dairy products are placed on the far shelves, while sweets and carbonated drinks are closer to the checkout.

Neural networks are also used in industrial enterprises. Artificial intelligence monitors the serviceability of equipment and predicts its technical condition. With the help of AI services, warehouse accounting is conducted, resource allocation models are created to avoid downtime and overloads, product quality control is carried out and demand drops are predicted.

Advantages and disadvantages

Given the widespread adoption of neural networks in various business areas, it can be said that artificial intelligence benefits companies and increases competitiveness.

Advantages:

• versatility of application in different fields;
• adaptability and learning ability;
• automation of routine work;
• reduced personnel costs;
• accelerating the payback time for business development investments;
• automatic processing of large amounts of data;
• reducing the number of errors that occur due to the human factor;
• personalized customer interaction;
• making accurate forecasts based on previous results;
• the ability to find the shortest path to solutions that require complex analysis.

However, these advantages are fraught with difficulties. Significant investments will be required to implement neural networks in the work of the enterprise. To set up and train models and ensure that they work correctly, you need to have a machine learning specialist on staff, which may be too expensive for a small business.

Which neural networks can be used?

Integrating artificial intelligence into a business requires a thoughtful approach. To analyze large amounts of data and solve complex problems, it will be necessary to create an artificial neural network architecture with model training. This is the work of IT specialists, as an incorrectly functioning program can lead to losses.

However, it is not always necessary to involve experts. There are already reliable AI platforms on the market that provide a set of business tools. Although many services are not available in Russia, you can work with them through the Chat AI platform. Access to the most popular neural networks is provided via Telegram and VK. You can use the tools directly on the website or download the extension to the browser.

Which neural networks will help you run a business?:

1. ChatGPT automates customer support, writes codes, creates content, generates ideas, and analyzes data. The service can be used to write job descriptions, train staff, create product descriptions, and make commercial offers to customers.
2. Gemini is Google’s AI–based tool that is used to manage business tasks, conduct marketing research, and provide customer support. Gemini is able to integrate with other applications and perform administrative work. It can analyze images and recognize objects, adjust incoming data, make schedules, and monitor emails.
3. Claude is an advanced chatbot for customer service. He answers user questions, processes requests, does internal analytics, and creates reference documentation. Claude AI is able to generate texts, create business plans, write cover letters, and make mailing lists.
4. Flux is a neural network for generating realistic images. In the publishing business, it is used to create colorful illustrations, in marketing it is suitable for making flyers and advertising posters, corporate logos, and branding.
5. Ideogram is a service that converts text queries into detailed images and animations. A neural network can be compared to a digital artist who accurately understands tasks and embodies them on the screen. And with the help of a graphic editor, you can display text in an attractive font in an image. Ideogram AI helps marketers create advertisements, make posts for social networks, and design logos.
6. MidJourney is a popular advanced image generation tool that can be used instead of ordering the services of a designer or photographer. The neural network will create customized images for the target audience that the advertising campaign is aimed at, and design packaging, labels, and logos. MidJourney will generate photorealistic images of products for online stores and marketplaces, improve the finished photos, and change the background.

Access to many foreign AI services in Russia is limited. And you won’t be able to get to the site itself without connecting a proxy. To register, you need a phone with a foreign number, and to pay for the package of services, you will need an account with a foreign bank. But all these difficulties can be avoided if you use popular artificial intelligence tools on the Chat AI platform.

How to use it correctly

Neural networks have long since ceased to be a frightening term from the field of fiction, when robots begin to rule the world. Artificial intelligence now helps companies run businesses and increase their competitiveness. But AI tools will only be useful if they are used correctly.

Recommendations for the selection and effective use of neural networks:

1. Define your goals and decide for which functions you need an electronic assistant: customer service, virtual assistant, content creation, logistics, warehouse, etc.
2. Test the available platforms with a free trial period. To understand which tools work best for the implementation of your projects.
3. Evaluate the possibilities of integrating services with your systems to ensure smooth operation. The tool should work with CRM software, marketing platforms, and supply chain management systems.
4. Invest in the paid version of the program to use an expanded set of tools with a minimum of restrictions. Choose a tariff plan, depending on the amount of work and complexity of the project.
5. Explore all the features of the tool, stay tuned for updates and expanded functionality.

For complex business processes, you will need to train a model. Such work should be handled by machine learning specialists.

Results

Artificial intelligence with the help of well-chosen tools, if applied correctly, will be a good assistant in running any business. It will improve the quality of customer service, help you make more informed decisions, and predict profits and the likelihood of losses.

Neural networks can be used for data analysis, logistics automation, security management, new product design, and staff training. Add to these advantages the integration of AI into workflows and get increased efficiency, regardless of whether your company belongs to a small business or a large corporation.