Netcore Unbxd has introduced its AI-powered Insights Agent, a conversational analytics solution aimed at simplifying how ecommerce businesses access and interpret search and merchandising insights.
The newly launched solution is designed to replace traditional analytics workflows that often depend on dashboards, reports, and fragmented data systems. Through conversational AI capabilities, ecommerce teams can now ask questions in natural language and receive instant insights to support faster operational and merchandising decisions.
The platform allows businesses to identify low-converting search queries, analyse campaign effectiveness, track revenue-driving search trends, and understand factors impacting customer engagement and conversions in real time.
According to the company, ecommerce brands today generate large volumes of search and merchandising data, but converting this information into actionable decisions remains a challenge. The Insights Agent has been developed to reduce this complexity by enabling teams to interact directly with analytics through AI-driven conversations.
The solution also helps merchandising and ecommerce teams monitor search relevance, customer intent patterns, merchandising opportunities, and product discovery performance more efficiently. By simplifying access to real-time intelligence, the company aims to improve decision-making speed and operational agility for online retailers.
Nishant Jain, COO, Netcore Unbxd, said, “The future of analytics is conversational. Teams should not need to spend hours interpreting dashboards to understand what is impacting conversions or product discovery performance. Insights should be immediate, actionable, and accessible.”
Netcore Unbxd stated that the launch reflects the growing adoption of agentic AI systems within ecommerce operations, where analytics platforms are evolving beyond passive reporting tools into intelligent decision-support systems.
The company added that the Insights Agent is expected to help brands improve customer experiences, optimise merchandising strategies, and strengthen product discovery outcomes through AI-led analytics and conversational intelligence.
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