Models such as ChatGPT, Midjourney, GitHub Copilot, and others are capable of generating text, images, code, and other content. And while such technologies were initially used mainly by IT giants, today they are readily available to medium-sized businesses — not only for automation, but also for directly increasing sales.

The MIM:AGENCY team looked at how generative AI is helping to boost sales in sectors such as e-commerce, B2B services, and manufacturing.

E-commerce: personalization, content, and customer experience

In online sales, artificial intelligence is becoming a real growth driver. For online stores, generative AI opens up new opportunities in several areas at once:

  • Automatic content creation. AI can generate SEO-optimized product descriptions, landing page copy, blog posts, and social media posts. For example, a Ukrainian company integrated ChatGPT to write product descriptions based on technical specifications—the model created a competent description in seconds, which only required minimal editing by a copywriter.
  • Personalized recommendations and newsletters. Generative AI can process large amounts of data about buyer behavior to offer them exactly what they need. Chatbots and recommendation systems based on ChatGPT analyze viewing and purchase history and generate personalized offers. For example, the online store GoodWine, in collaboration with IT developers, taught ChatGPT about its wine selection and CRM data: when a customer visited the site, the AI selected the top five most relevant products for them, which significantly increased the conversion rate of such recommendations.
  • 24/7 customer service. Virtual consultants based on the same GPT models can significantly improve the quality of support. Instead of standard FAQ scripts, a modern chatbot is capable of conducting a live dialogue, understanding the context of questions, and offering products. For example, a Ukrainian online clothing store integrated ChatGPT into its chat: the model was trained on product descriptions and now responds to customers in real time, recommends outfits, and clarifies details.
  • Image and design generation. High-quality product photos and creative advertising are the key to successful online sales. Midjourney, DALL-E, and similar models allow small businesses to obtain unique visuals without expensive photo shoots.

The practical result for e-commerce: rapid content creation and personalization enable online stores to scale their product range and audience.

The main thing is to set the right tasks for the model and monitor the results to ensure that the content matches your brand and is error-free. If done right, generative AI becomes a strategic asset for e-commerce, generating additional revenue through a better customer experience.

B2B services: scaling marketing and sales

For companies operating in the B2B segment (consulting, agencies, service firms, etc.), generative AI is an opportunity to do more with less and win the competitive battle for customers. Here are a few areas where the average B2B business is already seeing benefits:

  • Fast content marketing. Generative language models such as ChatGPT have become an indispensable tool for marketers. They help write articles, case studies, sales pitches, social media posts, and even video scripts. And they do it in a matter of minutes. Companies can generate draft texts that are then refined by specialists — this approach significantly reduces the time needed to prepare materials. There are already examples of brands running corporate blogs and social media accounts using ChatGPT.
  • Personalized commercial offers and communication. In B2B, a focused approach to each client is especially important. Generative AI helps sales managers prepare individual offers faster. For example, based on a few pieces of input about a client (industry, size, needs), ChatGPT can generate a first draft of a commercial proposal or a letter presenting services, highlighting the benefits that will be valuable to that client. The manager then only needs to tweak the details.
  • Accelerated development of products and IT solutions. Many medium-sized B2B companies have their own IT departments or create digital products (e.g., SaaS services, mobile apps for customers). This is where a tool such as GitHub Copilot, a “smart” code autocompleter, comes into play. It generates snippets of code directly in the development environment, saving developers time. This means that new features for your customers or internal systems will be implemented faster. Experience shows that using Copilot can increase development team productivity by 10% or more and save up to 80% of time on individual tasks.
  • Creativity and design for presentations. In B2B sales, it is often necessary to impress the customer with a vivid presentation, prototype, or solution design. Generative image models such as Midjourney or Stable Diffusion can also be useful here. Marketing agencies use them to create concept art and advertising layouts for clients, while design studios use them to generate quick visualizations of ideas. These tools allow you to produce several creative and design options overnight, where it would previously have taken weeks.

Thus, in the B2B sector, generative AI acts as a multiplier of effort. It does not replace sales or marketing specialists, but relieves them of some of their routine work, suggests optimal moves, and provides new creative tools. As a result, the team can focus on strategic tasks, such as building trust, identifying non-standard benefits for the client, and developing relationships, while “smart” algorithms handle the preparatory and analytical work. On a global scale, 75% of leading manufacturing and B2B companies have named AI implementation as one of their priorities.

In Ukraine, entrepreneurs are also keeping pace: more and more service companies are experimenting with ChatGPT, looking for where it will have the greatest impact, and many are already “impressed by its analytical capabilities”.

The main thing is to remember about quality control: check the source texts for accuracy, the code for security, and marketing ideas for brand compliance.

When used correctly, generative AI can significantly accelerate the growth of B2B businesses by scaling marketing and sales processes without a proportional increase in costs.

Manufacturing: product innovation and entering new markets

Medium-sized manufacturing companies often think that cutting-edge AI solutions are the preserve of large corporations. But generative AI offers a range of practical tools for manufacturing that can indirectly or directly impact sales growth:

  • Accelerated production preparation and customization. Manufacturing custom-made products is a trend that can be supported with AI. Instead of a long cycle of preparing a proposal for a customer (calculation, drawing, prototype), you can use generative models to automate these steps. For example, a manufacturing company that produces custom metal structures can develop a GPT-based chatbot. The manager or the customer enters the desired product parameters, and the AI generates a technical description, sketch, or even a 3D model of the basic solution.
  • Marketing and export sales. Manufacturing businesses are often less flexible in marketing than IT or retail, but this is where generative AI can come in handy. AI translation and text writing tools can help quickly adapt presentations, catalogs, and websites for different language audiences, opening the way to export. For example, you can take a Ukrainian product description and use ChatGPT to create an English, German, or Arabic version that is stylistically correct and uses the right technical terms. Voice models (such as ElevenLabs) can help voice video presentations in different languages without expensive dubbing.
  • Improved customer service and support. After selling a product, manufacturing companies often provide service, support, and training. Generative AI can enhance this part as well, indirectly influencing long-term sales (through customer satisfaction). Chatbot consultants for technical support can answer typical questions about equipment operation, settings, and troubleshooting 24/7 without queues. The result is faster responses, less strain on staff, and more satisfied customers who are likely to continue working with you. And a satisfied customer in the B2B segment means repeat contracts and sales growth through retention.

Bottom line for manufacturers: Generative AI helps accelerate innovation and sales. It is integrated into the value chain, from product design to sales and service. Medium-sized businesses gain access to tools that previously required entire departments (design, export, support). Of course, implementing AI requires investment in team training and process configuration. But these investments can pay for themselves many times over through production optimization and market expansion.

Conclusions

Generative AI is gradually penetrating all areas of business, from online retail to manufacturing, and medium-sized companies can already use it to their advantage. Key benefits include routine automation, personalization at scale, and new levels of creativity and speed to market.

All of this directly or indirectly leads to increased sales through better customer experience, greater efficiency, and more innovative offerings. It is important to understand the limitations of the technology: AI can make mistakes, and it requires high-quality data and human oversight. But businesses that learn to combine the strengths of AI and humans are seeing tangible results. It is no coincidence that 78% of companies worldwide say they already use AI in at least one business function. So if you haven’t tried generative AI in your business yet, now is the time to experiment.