Retail of the Future: How AI is changing stores, marketing, and Prices today

Retail of the Future: How AI is changing stores, marketing, and Prices today
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AI is penetrating retail: how technology is already transforming stores and marketing, and what to expect in the coming years — in the material on the research by Tochka Bank and Dsight.

Artificial intelligence is no longer something fantastic - it is already being introduced into everyday retail. A study conducted by Tochka Bank together with the Dsight platform shows that retail will change beyond recognition in the next 5 years. From personal offers to smart kiosks, everything will be customized to the needs of the customer.

Hyperpersonalization is at the center of change. Modern algorithms based on the analysis of customer preferences and behavior are able to offer individual products, discounts and promotions to everyone. So, Lamoda already uses technology capable of shaping the main page of the site to suit the tastes of a particular user. The result is increased sales and loyalty.

Another powerful trend is generative AI. Today, he helps create content, from product descriptions to advertising creatives. More than 70% of companies in Russia are already using neural networks to automate their routines. For example, Tochka Bank offers a service where an SEO description for a product card can be generated in just one click.

Dynamic pricing is also gaining momentum. AI systems analyze demand, balances, time of day, and other factors to determine the optimal price. Thanks to these technologies, companies can increase revenue and sell inventory faster. In one case, the pharmacy chain achieved revenue growth of 11.7% due to the introduction of AI algorithms.

Chatbots and voice assistants are becoming an important area. Already today, they help customers find the right products, advise and solve typical queries. In the future, such solutions will completely replace contact center operators, and automated assistants will appear in stores.

But there are also difficulties: compliance with the law on personal data, the need for specialists and integration of IT systems, as well as the high cost of implementing equipment in offline locations. However, one thing is clear — companies that start using AI today will gain a competitive advantage tomorrow.