Maxim Melsitov, Director of Development of the Software Development
Posted: Tue Jan 21, 2025 6:27 am
Andrey Nikitin, Head of the Digital Modeling Department at the IBS integrator, sees communication with clients as the main area of application for generative AI: "Using large linguistic models to create chatbots for communicating with clients allows us to significantly reduce the workload when interacting with users. For e-com, this is a significant labor cost, which explains the need to implement these solutions. Large linguistic models help solve a large number of problems, the main ones being the creation of digital support staff, code writing assistants, and digital HR. The main difficulty is the lack of sufficient quality data suitable for training models."
According to Dmitry Medvedev, Director poland whatsapp number database of the Applied Solutions Department at LANIT-TERCOM (part of the LANIT Group), e-commerce actively uses and invests in artificial intelligence: "This is due to the fact that e-commerce has a large volume of data on purchases, customer preferences, customer behavior, etc. This makes the industry attractive for the use of AI technologies in analytics, personalization, and improving user experience. Investments in AI help optimize advertising campaigns, forecast demand, improve conversion, and much more. In addition to direct benefits, the implementation of AI-based solutions can serve as a good news story for publishing news and popularizing the platform, which can not only attract new customers, but also help increase the capitalization of companies whose securities are traded on the stock exchange."
and Implementation Department at JSC Infosystems Jet, noted that, unlike traditional retail, where it is more difficult to identify a specific client (many have loyalty cards, but not all), the user experience of the marketplace can be completely digitized: "Therefore, a large e-com, having serious financial capabilities, is following the path of development in the field of sales analytics, demand forecasting and generation of personal recommendations. I can highlight a fresh trend - the creation of LLM (Large Language Model) "for oneself" - large language models, for training which one can use the internal infrastructure, thereby catching up in development with such market participants as Sber, Yandex and MTS. Large players are investing billions of rubles in this area, mainly in the infrastructure component - the foundation of future LLMs of the largest players in the e-com industry."
As noted by Roman Smirnov, Commercial Director of the custom development company Devlonika (Softline Group), the flagships in development will be IT companies, banks, fintech, and only then - representatives of e-com: "This is primarily due to the fact that businesses still need to close a number of needs for IT solutions that relate to internal infrastructure and the integration of new substituted systems into the company circuit. For e-com, import substitution has been and is happening faster, so businesses are ready to develop new things and spend budgets on new tools to improve efficiency. There is fierce competition in e-com, and this forces companies in the sector to move faster and implement new tools that can improve efficiency."
According to Dmitry Medvedev, Director poland whatsapp number database of the Applied Solutions Department at LANIT-TERCOM (part of the LANIT Group), e-commerce actively uses and invests in artificial intelligence: "This is due to the fact that e-commerce has a large volume of data on purchases, customer preferences, customer behavior, etc. This makes the industry attractive for the use of AI technologies in analytics, personalization, and improving user experience. Investments in AI help optimize advertising campaigns, forecast demand, improve conversion, and much more. In addition to direct benefits, the implementation of AI-based solutions can serve as a good news story for publishing news and popularizing the platform, which can not only attract new customers, but also help increase the capitalization of companies whose securities are traded on the stock exchange."
and Implementation Department at JSC Infosystems Jet, noted that, unlike traditional retail, where it is more difficult to identify a specific client (many have loyalty cards, but not all), the user experience of the marketplace can be completely digitized: "Therefore, a large e-com, having serious financial capabilities, is following the path of development in the field of sales analytics, demand forecasting and generation of personal recommendations. I can highlight a fresh trend - the creation of LLM (Large Language Model) "for oneself" - large language models, for training which one can use the internal infrastructure, thereby catching up in development with such market participants as Sber, Yandex and MTS. Large players are investing billions of rubles in this area, mainly in the infrastructure component - the foundation of future LLMs of the largest players in the e-com industry."
As noted by Roman Smirnov, Commercial Director of the custom development company Devlonika (Softline Group), the flagships in development will be IT companies, banks, fintech, and only then - representatives of e-com: "This is primarily due to the fact that businesses still need to close a number of needs for IT solutions that relate to internal infrastructure and the integration of new substituted systems into the company circuit. For e-com, import substitution has been and is happening faster, so businesses are ready to develop new things and spend budgets on new tools to improve efficiency. There is fierce competition in e-com, and this forces companies in the sector to move faster and implement new tools that can improve efficiency."