Netcore Unbxd Insights Agent is rewriting the rules of ecommerce intelligence

Key highlights

• The Netcore Unbxd Insights Agent transforms complex ecommerce search analytics into instant answers through a conversational interface without navigating dashboards.
• Embedded directly in the Netcore Unbxd console, the Insights Agent allows teams to ask natural-language questions about ecommerce internal search, campaign performance, and search relevance metrics.
• Generative AI retail experiments show sales improvements up to 16% due to improved decision workflows and reduced friction in product discovery.

The job of a merchandiser has always been equal parts art and science. You know your catalog intimately. You understand your buyer. But for most of the past decade, translating that knowledge into action meant fighting through a maze of dashboards, waiting on BI reports, and hoping the story buried in last week’s export would still be relevant by Monday morning.

The fundamental problem was never a lack of data. Most platforms were generating more data than any team could meaningfully process, including search sessions, click-through rates, cart activity, revenue attribution, and query-level performance across head, torso, and tail segments.
The real bottleneck was the gap between data and insight, and between insight and action. By the time a trend was identified, compiled into a report, escalated to the right person, and translated into a merchandising decision, the moment had passed.

Research consistently underscores the extent to which this problem has become acute. According to the Retail Insights Report, 85% of retail merchandising decisions are still driven primarily by intuition rather than real-time data analysis. And Forrester found that the average merchandising team spends over 12 hours per week simply gathering and formatting data, time that could be spent acting on it.

The pain was felt everywhere: in missed seasonal opportunities, in underperforming categories that sat undiagnosed for weeks, in search queries that quietly lost conversion power without anyone noticing until revenue took a hit.

The question every merchandiser most wanted answered, “What is actually happening in my data right now, and what does it mean?”, had no fast answer. Getting there required navigating multiple report screens, applying filters, switching contexts, and often waiting on analyst support.

“We were generating hundreds of reports across search, browse, and campaigns, but we were still flying blind. The data was there. The signal wasn’t.” — Chief Merchandising Officer, B2B Distributor

This is the world that the Netcore Unbxd Insights Agent was built to change.

A conversational analyst embedded in your reporting

The Insights Agent is an AI-powered analytics assistant that lives directly in the Netcore Unbxd reporting console and is accessible across Search, Browse, Autosuggest, Campaign, and merchandising performance reports. It appears as a widget on each reporting page and, when activated, opens a chat interface where merchandisers can ask questions in plain, natural language and receive instant, substantive answers.

This is not a new dashboard or a smarter filter panel. It is a conversational analyst that has already read every data point in your reporting stack and is ready to answer whatever you need to know, right now, without a ticket, a query builder, or switching tabs.

Ask anything and get an answer that matters

The Insights Agent is designed around the questions merchandisers actually ask.

• How did search perform last quarter compared to the one before?
• Which queries by revenue drove the most conversions?
• Which categories are lagging and dragging down overall performance?
• Which high-traffic search terms are generating clicks but failing to convert?

The agent interprets these natural-language questions, automatically retrieves the relevant data from across your reports, and returns a summarised, easy-to-understand response, no manual filtering required.

If a question is ambiguous, for example, whether it refers to search or browse performance, the agent asks a targeted follow-up question to clarify before generating a response. Users can then continue the conversation, drilling deeper into the data with additional questions in the same session.

What the insights agent covers

The agent supports three core analytical workflows that cover the most common and high-stakes questions in merchandising.

For search performance analysis, it surfaces key metrics like sessions, clicks, carts, orders, and revenue, and can compare performance across periods such as quarter-over-quarter or year-over-year.

For query performance and search quality, it evaluates query-level data to identify top queries by revenue and conversion, highlight high-traffic but low-conversion queries, and analyse behaviour across head, torso, and tail query segments.

And for merchandising and campaign impact analysis, it compares performance metrics before and after a promotion, evaluates campaign-level impact, and highlights which initiatives are driving meaningful results.

Each of these workflows previously required a merchandiser to navigate multiple report screens, apply multiple filters, and often wait for analyst support. The Insights Agent collapses all of that into a single conversation.

Generative AI retail experiments show sales improvements up to 16% due to improved decision workflows and reduced friction in product discovery. - Business Columbia 2025

Built for retailers, not data scientists

Critically, every insight is delivered in plain language. Merchandisers do not need to understand machine learning models or write SQL queries to benefit from the Insights Agent. The platform translates complex signals into clear, actionable responses that any team member can act on immediately.

This matters enormously in the B2B retail context, where catalogs can run into the hundreds of thousands of SKUs, where buying cycles are longer and more complex, and where the cost of a missed insight is not just a lost transaction, it is a lost relationship.

The Insights Agent is just the beginning

What you are seeing today is the first chapter of a longer story. The Insights Agent marks the point at which the platform moved from reactive reporting to proactive intelligence, from telling you what happened, to answering whatever you need to know, the moment you need to know it. The next step is predictive.

In the coming quarters, the Netcore Unbxd Insights Agent will evolve to surface alerts proactively before issues materialize. Rather than waiting for the team to ask whether a category is underperforming, it will identify early signals, subtle shifts in query conversion, emerging gaps in head-term coverage, and changes in campaign attribution patterns and flag them before they become a problem.

Beyond alerting, the roadmap introduces richer cross-channel analysis: the ability to connect signals across search, browse, autosuggest, and campaign performance in a single query, surfacing a holistic view that has historically required a dedicated analytics team.

The Insights Agent will increasingly become the single interface through which merchandisers understand everything happening in their platform — and anticipate what comes next.

The future of ecommerce intelligence isn’t a better dashboard. It’s a platform that already knows what you need to understand, and tells you before you have to ask.

Netcore Unbxd has always been first to bring the richest features to merchandisers. That is not an aspiration; it is a track record. The Insights Agent is the clearest expression yet of what ‘agents ready’ looks like in practice: a stack that does not just support the future of ecommerce but anticipates it.

For merchandisers navigating an increasingly complex landscape, the question is no longer whether your platform can surface insights.

The question is whether it can surface them quickly and intelligently enough to make a difference. With the Insights Agent, that conversation has already started.

Learn more about insight agent here.

Frequently Asked Questions

What is the Netcore Unbxd Insights Agent?

The Unbxd Insights Agent is an AI-powered analytics assistant embedded directly in the Unbxd console reporting section. It allows merchandisers to ask natural-language questions about search, browse, autosuggest, and campaign performance and receive instant, plain-language answers — without navigating dashboards, applying filters, or waiting on analyst support. It appears as a widget within each reporting page and opens a chat interface when activated.

Where can you find the Insights Agent in the Unbxd console?

The Insights Agent is available within the Reporting section of the Unbxd console. It is accessible across search reports, browse reports, autosuggest reports, and campaign and merchandising performance reports. It appears as a widget on each reporting page, and clicking it opens a conversational chat interface where questions can be asked directly.

What kinds of questions can I ask the Insights Agent?

You can ask the Insights Agent questions like, “How did search perform last quarter compared to the one before?” “Which queries by revenue drove the most conversions?" "Which categories are lagging in performance? ”, and “Which high-traffic search terms are generating clicks but failing to convert?” The agent interprets natural-language questions and automatically retrieves relevant data without requiring manual filter configuration.

Does using the Insights Agent require data science or technical expertise?

No. The Insights Agent is built for merchandisers and business users, not data scientists or analysts. It translates complex reporting data into plain-language responses that any team member can understand and act on. You do not need to write queries, configure filters, or understand machine learning models to use it effectively.

Can the Insights Agent compare performance across different time periods?

Yes. The Insights Agent supports period-over-period comparisons, including quarter-over-quarter and year-over-year analysis. It can also handle follow-up questions within the same conversation, allowing merchandisers to drill deeper into a specific metric, segment, or time range without starting a new session or switching between report screens.