Netcore Unbxd Agents
Unbxd AI Agents: NLP-Powered Insights, Merchandising & Search Debugging
Overview
In today’s competitive commerce landscape, extracting meaningful insights and taking actionable decisions quickly is essential for driving conversion, improving user experience, and optimizing merchandising workflows. To enable this, Netcore Unbxd introduces a suite of AI-driven agents that help you analyse data, automate workflows, and decode search behaviour, all using simple natural-language queries.
These agents understand natural language(NLP) and assist users across analytics, merchandising, and debugging, removing the need for manual report digging, complex workflows, or dependency on analytics teams.
What Makes Unbxd AI Agents Powerful!
Traditional analytics and merchandising workflows often require sifting through multiple dashboards, building custom queries, or waiting for analyst support. Unbxd AI Agents break this dependency by combining domain knowledge with interactive AI that understands your intent and delivers results quickly, contextually and accurately.
Available Agents
Unbxd currently offers the following agents:
Deliver deep data insights across search, browse, autosuggest, and campaign metrics. Ask questions like:
- How did search perform last quarter?
- Which queries by revenue drove the most conversions?
- Which categories are lagging and driving low revenue?
The Insights Agent interprets your natural-language questions and returns actionable analytics without manual filtering, saving hours of analysis time.
A natural-language interface to create promotional rules. Instead of navigating through multiple screens to set up promotions, users can simply ask the agent to build them.
For example: Create a promotion for winter jackets with boosted sort for 2 weeks.
In this phase, the co-pilot focuses on promotion creation workflows, ensuring fast and guided setup.
Search results can often behave unexpectedly. The Debugger Agent answers explainability questions such as:
- Why is Product X ranked at position 3 instead of 2?
- Why isn’t Product Y appearing in the results?
This agent sheds light on ranking and retrieval decisions, helping merchandisers understand why things happen and offering clear explanations.
Each agent is purpose-built, appears contextually within the console, and focuses on a specific user need.
Updated about 7 hours ago