Neural networks for business: how to use AI for tasks, growth and automation in 2025

In this article, let's break down how to use a neural network for business, what tasks can be automated, and what services are among the top neural networks for business in 2025.

What a neural network can do for business

While previously an entrepreneur needed to assemble a whole team of specialists to close marketing, sales, analytics and customer support, now a significant part of these tasks can be delegated to a neural network.

The main areas in which neural networks are already helping businesses:

1. Text generation

A neural network can write:

• product descriptions for marketplaces,
• social media posts,
• blog articles,
• scripts for commercials,
• commercial proposals and letters to clients.

How it saves resources:
Instead of spending hours formulating each text, you set a task and in a minute you have a draft ready. And then it can be adapted to the company's style.

2. Customer support

AI can act as 24/7 online consultant:

• answer typical questions,
• to help place orders,
• Referring the client to the right specialist,
• Handle complaints and feedback.

Result:
Customers get answers immediately, without waiting, and employees are freed from routine correspondence.

3. Translations and localization

Modern AI services such as. DeepLunderstand the context and industry terminology. This means that:

• a marketing slogan will not lose its meaning in translation,
• the instructions will be accurate,
• the site can be quickly adapted for the international market.

4. Naming and branding

Coming up with a company name, product name or slogan is a task that used to take weeks. A neural network generates dozens of creative options in minutes.
Additionally, the AI can check if the domain is free or if there are no matches with competitors.

5. Creating and optimizing resumes

Neural networks help both businesses and job seekers:

• create a resume based on the given data,
• highlight key skills,
• tailor the experience description to the specific job opening.

For HR departments, it speeds up hiring and allows them to quickly build portfolios of candidates.

6. Marketing and advertising

AI assistants are automating:

• writing advertisements,
• generating visuals,
• selection of hashtags and keywords,
• content plan.

In addition, the neural network analyzes which formats perform better and suggests where to allocate the advertising budget.

7. Analytics and forecasting

AI can:

• collect sales and customer data,
• build reports and graphs,
• forecasting demand,
• Identify trends and weaknesses.

It helps to make decisions based on facts rather than intuition.

💡 Important: neural network does not replace the business team, but strengthens it. Instead of routine tasks, employees can focus on strategy, creativity and company development.

Why start-ups and entrepreneurs need to understand neural networks

Mastery of neural networks is no longer a fashionable perk, but a full-fledged hardskillthat's being paid for.

• Time saving - tasks that used to take hours are done in minutes.
• Competitive advantage - you react faster, which means you win the customer.
• Flexibility - you can test dozens of hypotheses without involving a large team.
• Accessibility - many neural networks for business are free or have a demo mode.

Companies where employees know how to use neural networks for business adapt faster to change and create innovative products.

How to choose a neural network for business: by task

Choosing a neural network for business is not just about finding a popular service. It is important to understand, what kind of problem you want to solve и what result you expect. Some AIs are better at text, others at analyzing data, and still others at designing or automating ads.

To avoid drowning in hundreds of services, let's break down the key categories of neural networks by business task and give examples that actually work in 2025.

1. Content generation

This direction is one of the most demanded. Neural networks help to create:

• articles for blog and website,
• descriptions of goods and services,
• commercial proposals,
• scripts for videos and podcasts,
• training materials and instructions.

When you need it:

• You're blogging but don't have time to post regularly.
• Need to quickly prepare a series of promotional posts for social media.
• Need to adapt the same text for different channels.

Examples of tools: ReText.AI, Claude, ChatGPT.
ReText.AI, for example, is particularly useful for companies that work with large volumes of text and want to quickly paraphrase or adapt them without losing meaning.

2. Visualization

Neural networks in this category create images, infographics, banners, presentations and design.
They can work from your description (promt) or based on templates.

When you need it:

• Develop a corporate identity.
• Prepare the design of promotional materials.
• Quickly make a presentation to investors or partners.

Examples of tools: Wepik, Midjourney, Craftum (visual elements for websites).
Wepik, for example, will suit marketers and SMM managers who need a ready-made design "here and now".

3. Sites and interfaces

These neural networks help create:

• lendings and online stores,
• prototypes and UI/UX design,
• chatbots and interactive forms.

When you need it:

• Launching a new product or promotion.
• A quick test of a business idea without the cost of developers.
• Creating an MVP (minimum viable product).

Examples of tools: Craftum, Tilda with AI module, Framer AI.
Craftum allows you to build a website with forms, catalog and CRM connection in a couple of hours.

4. analytics

AI in analytics is your digital analystwhich collects data, builds reports and forecasts, and identifies trends.

What they can do:

• Analyze sales, user behavior, conversions, advertising, reviews;
• build interactive dashboards;
• forecasting demand.

When you need it:

• You want to make decisions based on data, not guesswork.
• You need to identify which products are more profitable.
• Optimization of advertising campaigns is required.

Examples of tools: Yandex DataLens, Moneyplace, Google Looker Studio with AI features.
Moneyplace is especially useful for businesses on marketplaces, and DataLens is for companies with large amounts of internal data.

5. Marketing and advertising

This is a category for those who want automate promotion and increase the effectiveness of campaigns.

What they can do:

• generate creatives for advertising,
• picking out keywords,
• segment the audience,
• Analyze the effectiveness of campaigns.

When you need it:

• You need to get your ad campaign ready quickly.
• You want to lower the cost per lead.
• Required to personalize offers for customers.

Examples of tools: Clevr AI, Luminoso, AdCreative.ai.
Clevr AI is suitable for integrated marketing, while Luminoso is suitable for in-depth analysis of customer feedback and needs.

💡 Tip: before choosing a neural network, formulate the task in one sentence. For example: "We need to prepare a landing page and ad campaign for a new service in a day". This will help you immediately understand in which category to look for the tool and what to pay attention to when testing.

Top 8 neural networks for business

In 2025, the market of AI services for business has become so diverse that you can find the right tool for any task. Below is a selection of the best neural networks that cover the key needs of companies: from texts to analytics.

ReText.AI.

What it is: A universal AI service for working with texts.
Key features:

• Creating product and service descriptions for marketplaces and websites.
• Preparing business letters and promts to communicate with clients.
• Text paraphrase to increase uniqueness without loss of meaning.
• Adaptation of messages for different channels: website, email, social networks.
• Grammar check.
• Automatically shrink or enlarge text to the desired size.
• AI detector.

Application Examples:

• The online store prepared cards for 200 products in an hour.
• SMM manager adapted 10 posts for VK and Telegram in one evening.
• The marketer generated a promt package to quickly generate sales proposals.

Luminoso

What it is: AI for analyzing textual information and identifying semantic relationships.
Key features:

• Handling customer feedback, social media posts, surveys.
• Finding recurring themes and pain points.
• Data visualization for reports.

Application Examples:

• A restaurant chain has revealed that customers are more likely to complain about the speed of service rather than the food.
• The marketing agency found dissatisfaction with niche pricing and adjusted the strategy.

Moneyplace

What it is: analytics platform for marketplaces.
Key features:

• Monitor sales, competitors and demand.
• Trend Forecasting.
• Analyzing Pricing Strategies.

Application Examples:

• A seller on Wildberries realized which products are worth bringing to the top and increased profits by 30%.
• The company changed its pricing policy and outperformed competitors in rendition.

Clevr AI

What it is: AI marketer to automate advertising campaigns.
Key features:

• Creating advertising creatives.
• Setting up personalized newsletters.
• Conversion and audience analysis.

Application Examples:

• The cosmetics brand tested 15 advertising concepts over the course of a week and chose the 3 most profitable.
• The online school optimized newsletters, increasing email open rates by 25%.

Craftum AI

What it is: AI website builder.
Key features:

• Creating lendings and online stores without code.
• Generating texts and images for the site.
• CRM and widget integration.

Application Examples:

• The startup launched the site in an evening and started taking orders the very next day.
• The company created 3 lendings for different audience segments without hiring developers.

Sider

What it is: ChatGPT-based AI assistant in a browser extension format for information and project management.
Key features:

• Creating notes and plans.
• Information retrieval in large data sets.
• Preparing summaries and analytical briefs.
• Formation of personal knowledge base from uploaded documents.
• Summarizing a large amount of information.
• Generating images from a text query.

Application Examples:

• The project manager drove the project, receiving daily reports and reminders from Sider.
• The analyst prepared a market digest based on 100+ articles in half an hour.

Yandex DataLens

What it is: A free BI platform for data visualization.
Key features:

• Creating interactive dashboards.
• Database Integration.
• Construction of graphs, charts and maps.
• Tracking business metrics.

Application Examples:

• The retailer analyzed sales by region and optimized logistics.
• The startup tracked user activity in real time.

Freepik

What it is: An online design editor with AI elements.
Key features:

• Creating presentations, posters, business cards.
• Working with templates and AI image generation.
• Preparation of branded materials.

Application Examples:

• The marketer prepared a series of social media banners in an hour.
• An event agency made a presentation for partners without a designer.

Most importantly

• Neural networks already perform dozens of business tasks, from texts to analytics.
• Mastery of AI tools is a competitive advantage for professionals and companies.
• Promts for neural networks for business allow you to customize AI for unique needs.
• There are both universal and highly specialized services.
• Many neural networks for business are free or have demo access.