From Classic Search to an AI Shopping Assistant: A Case Study of Implementation at Prom [ukr]
Description of the talk:
- • Background. Why we decided to add an assistant to the standard search.
- • Market Trends: How Agentic Commerce Is Evolving and Why It Matters Now.
- • Implementation: How we technically built and integrated the AI agent into Prom’s infrastructure.
- • MVP and experiment results. What the initial tests revealed and how users interacted with the assistant.
- • Key insights and conclusions. The main takeaways we identified during development and launch.
- • What's next. Plans for developing AI tools on the marketplace.
Viktoriia Burykh
Product Manager Search&Data, Prom
- Product Manager at Prom with over 9 years of experience in IT, 6 of which have been in management roles
- Has experience in automating business processes using low-code solutions, developing ERP and CRM systems, and sales management
- Responsible for implementing and scaling ML solutions in search and recommendations, enhancing the personalized customer experience and driving key business metrics