AI is here to stay, but the need for talent continues to grow.

Not long ago, AI ideas were met with caution in IT teams, and its proposed solutions sparked astonishment. Today, in many tech departments, AI is no longer seen as just an experiment. It has become an essential part of daily operations, increasingly acting as an invisible team member.

From simple recommendations to business logic.

In e-commerce, AI typically starts with the obvious solutions: product recommendations, automated emails, or smart chatbots for customer service. The real revolution begins when algorithms start to understand not only customer needs but also business logic. The biggest shift happens when AI solutions stop surprising us with their results and become part of everyday operations.

Tasks once considered challenging are now solved quickly and efficiently with algorithmic assistance, especially in processing vast amounts of data. On e-commerce platforms, AI analyzes not only purchase history or browsing behavior, it also predicts peak purchasing times, forecasts inventory needs, optimizes pricing strategies, and determines which products to highlight at specific moments.

Business archeology with AI.

One particularly pressing issue in e-commerce is modernizing legacy systems. Here, AI becomes not just a technical assistant but a kind of business archeologist, helping to understand, reconstruct, and fundamentally transform long-established solutions. AI helps not only write code but also understand it. When working with systems built over a decade ago, you often have to rediscover undocumented logic.