Netcore Unbxd has launched its AI-powered Insights Agent, a conversational analytics solution designed to help ecommerce teams access and act on search and merchandising insights without relying on traditional dashboards and manual reporting processes.
Integrated within the Netcore Unbxd platform, the Insights Agent allows users to ask questions in natural language and receive real-time, actionable responses. The launch reflects the growing adoption of AI-powered tools that simplify data analysis and help teams make faster decisions across ecommerce operations.
The solution enables merchandising and ecommerce teams to identify low-converting search queries, evaluate campaign performance, track revenue-driving search trends and diagnose declines in engagement or conversions through conversational interactions rather than conventional reporting workflows.
As ecommerce businesses continue to generate large volumes of search and merchandising data, the challenge has increasingly shifted from collecting information to extracting actionable insights quickly enough to influence customer experiences and business outcomes. Traditional analytics processes often require teams to navigate multiple dashboards, create reports and manually interpret fragmented datasets, which can delay decision-making and optimisation efforts.
Netcore Unbxd’s Insights Agent has been developed to address this challenge by transforming ecommerce search analytics into conversational intelligence. Using natural language interactions, users can access information related to search performance, merchandising effectiveness, customer intent patterns, relevance issues and optimisation opportunities in real time.
The platform aims to reduce complexity for ecommerce teams by making insights more accessible and easier to interpret. Rather than spending time generating charts and reports, teams can focus on implementing changes that improve product discovery and customer engagement.
According to the company, the Insights Agent supports a range of business functions, including analysing internal search behaviour, assessing merchandising strategies, identifying search relevance gaps and uncovering emerging customer intent trends. The tool is designed to provide faster access to insights than traditional reporting systems, helping organisations respond more effectively to changing customer behaviour.
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.”
The launch comes as organisations increasingly explore agentic AI technologies to automate workflows and improve decision-making processes. Within ecommerce, analytics platforms are evolving from passive reporting systems into intelligent decision-support tools capable of continuously identifying opportunities and guiding optimisation strategies.
By combining conversational AI with search analytics and merchandising intelligence, Netcore Unbxd aims to help brands improve operational efficiency while delivering more relevant and personalised shopping experiences. The Insights Agent is intended to bridge the gap between data collection and decision-making by providing immediate access to intelligence that can support merchandising, search optimisation and customer experience initiatives.
The platform allows teams to surface insights related to customer intent, search relevance, conversion bottlenecks, merchandising performance and product discovery behaviour without requiring specialist analytics expertise. This accessibility is expected to support faster optimisation cycles and more informed business decisions.
With the introduction of the Insights Agent, Netcore Unbxd continues to expand its AI-driven product discovery capabilities. The company positions the solution as part of a broader effort to help ecommerce brands maximise the value of search interactions, improve product discoverability and create more personalised customer journeys through data-driven decision-making.
