AI is here to stay, but the need for talent continues to grow
The modernization of e-commerce platforms is often presented as a technical upgrade. However, the example at Bison Commerce reveals a much deeper process—it is fundamentally transforming its 13-year-old system, leveraging artificial intelligence (AI) not just as a tool, but as an integral part of the business.
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 application typically starts with obvious solutions: product recommendations, automated emails, or smart chatbots for customer service. However, the real AI revolution begins when algorithms start "understanding" not only customer needs but also business logic. The biggest shift occurs when AI solutions stop surprising with their results and become part of everyday operations.
"I’ve noticed that tasks once considered challenging are now solved quickly and efficiently with the help of algorithms. This is especially evident in processing massive amounts of data—for example, on platforms like Amazon, where decisions are needed instantly. In e-commerce, we deal with vast amounts of such data," says Audrius Žiemelis, CTO of Bison Commerce.
According to him, in 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 even determines which products should be highlighted at specific moments.
Business Archeology with AI
In e-commerce, one particularly pressing issue is modernizing legacy systems. In this process, AI becomes not just a technical assistant but a kind of business "archeologist," helping to understand, reconstruct, and fundamentally transform long-established solutions.
"It was fascinating to observe how AI helps not only write code but also understand it. When working with an e-commerce system built over a decade ago, you often have to rediscover undocumented logic. Why is a discount applied under specific conditions? How do complex pricing formulas work? AI helps answer these questions," Žiemelis explains.
“I’ve heard jokes about AI taking my job, but in e-commerce, I see the opposite trend. AI takes over routine tasks, but new ones emerge—you need to analyze its data, understand why it suggests certain solutions, and align them with business strategy.”
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