Stop configuring rules. Start describing outcomes. Netcore Unbxd's new AI agent turns plain-language intent into precise merchandising actions.
Merchandisers can describe what they want in plain English, and the AI generates the required merchandising rules automatically.
Campaigns can be applied across search results, category browse pages, autosuggest, banners, and filters from a single interface.
The Netcore Unbxd Merchandising Copilot works alongside the Insights Agent and the Debugger Agent, creating a loop in which issues are detected, diagnosed, and resolved.
Merchandising has always been a balancing act between seasonal campaigns, margin goals, new arrivals, and shifting shopper behavior. The work has largely been manual: log in to the console, navigate to the correct surface, build the rule, check for conflicts, publish, and repeat.
What is Netcore Unbxd merchandising Copilot?
The Merchandising Copilot is a new AI agent built directly into the Netcore Unbxd console. It understands what you want to accomplish in plain English and handles the configuration for you.
"Promote winter jackets for two weeks", that's all it takes. The Copilot builds the boost rules, sets the campaign timeline, applies the right ranking conditions, and surfaces the expected impact. You review and confirm. Done.
Merchandisers are strategists and they understand their catalog, their customers, and the moments that drive conversion. What they shouldn't have to be is rule-configuration specialists, spending hours translating business intent into technical parameters across multiple console screens.
The gap between "I want to promote high-margin products this weekend," and the actual set of rules required to make that happen is real, time-consuming, and error-prone. The Merchandising Copilot closes that gap entirely.
The Copilot handles the full range of merchandising actions across every surface in your site experience, from search results to category pages to autosuggest.
Describe your strategy in plain English. The Copilot interprets intent and automatically generates the required configuration.
Boost rules, slotting logic, pinning, filters, and campaign timelines, all generated from a single instruction.
Built-in guardrails prevent duplicate campaigns, rule clashes, and unintended overrides before they go live.
The Copilot explains every rule it creates, what signals inform the decision, and what impact you can expect.
Nothing publishes automatically. You review the proposed actions and confirm before anything goes live.
Works across search results, category browse, autosuggest, inline banners, and filters, all from one interface.
The entire experience lives inside the Netcore Unbxd console. The workflow is intentionally simple.
Type what you want to accomplish, such as "Boost new arrivals in women's outerwear" or "Promote high-margin items this week."
The AI interprets your goal, identifies the relevant surfaces, and generates the full rule configuration.
The system scans for rule conflicts and displays the expected impact so you know what to anticipate.
You see the full reasoning behind every decision. Approve to deploy, or adjust before it goes live.

The Merchandising Copilot doesn't operate in isolation. It's one of three AI agents being introduced to the Netcore Unbxd console, each handling a distinct layer of the merchandising intelligence stack.
The Insights Agent surfaces what's happening in your store, search conversion trends, campaign performance, zero-result queries, and revenue impact. The Debugger Agent explains why a product ranks where it does and what's causing unexpected search behavior.
Together, these agents form a closed loop. Insights surfaces a problem, the Debugger identifies the cause, and the Copilot executes the fix. In future releases, this pipeline becomes increasingly automated, from detection to diagnosis to action, with minimal manual intervention.
We're building the Copilot in deliberate phases. The initial release focuses on converting merchandising intent into rules, the most immediate, high-value use case.
V1 covers promoting seasonal categories, boosting high-margin products, running time-bound campaigns, configuring autosuggest merchandising, and conflict detection. Future phases will expand to automatically fixing zero-result queries, creating synonyms, building custom ranking algorithms, and acting on Insights-driven recommendations.

All three agents are accessible directly within the Netcore Unbxd console. The Merchandising Copilot will be available to customers from May–June 2025, with early demos available in March.
The Copilot is a paid feature. The Insights Agent and Debugger Agent are both free, included with capped usage based on customer tier.
The Merchandising Copilot is the execution layer of Netcore Unbxd's 2026 vision for Autonomous Ecommerce, a merchandising experience where AI handles the operational work while merchandisers focus on strategy, creativity, and the judgment calls that matter most.
This vision rests on three pillars: agentic workflows that act on business intent, transparency in AI decision-making so every action is explainable and trustworthy, and a unified experience across the entire Netcore Unbxd product stack.
The Copilot represents a meaningful step toward that future, one where the distance between "I want to do this" and "it's done" collapses to almost nothing.
Want to see it in action? Request an early demo and be among the first to experience conversational merchandising.
Learn more about Merchandising Co-pilot here.
The Netcore Unbxd Merchandising Copilot is an AI agent built directly into the Netcore Unbxd console that converts plain-language merchandising intent into fully configured merchandising rules. Merchandisers describe what they want to achieve, and the Copilot generates the required boosts, pinning rules, campaign timelines, and filters automatically.
The Copilot uses natural language input. Merchandisers type instructions such as "Boost new arrivals in women's outerwear" or "Promote high-margin items this week." The system interprets the intent, identifies the relevant surfaces like search or category pages, and generates the appropriate merchandising configuration.
No. The Copilot follows a human-in-the-loop workflow. It generates the rules and provides a preview of the expected impact. Merchandisers review the configuration and approve it before anything goes live.
The Copilot can generate several types of merchandising configurations, including boost rules, slotting logic, product pinning, filters, and time-bound campaign rules. These actions can be applied across search results, category browse pages, autosuggest, banners, and filters.
Yes. The Copilot includes built-in guardrails that check for duplicate campaigns, conflicting rules, and unintended overrides. The system highlights these issues before a campaign is deployed.
The Copilot works alongside two additional agents in the Netcore Unbxd console: the Insights Agent and the Debugger Agent. The Insights Agent identifies trends and issues such as declining search conversions or zero-result queries. The Debugger Agent explains ranking behavior. The Copilot then executes the required merchandising fixes.
The Merchandising Copilot is offered as a paid feature. The Insights Agent and Debugger Agent are included at no additional cost, with usage limits depending on the customer tier.
The Copilot is part of Netcore Unbxd’s broader vision for Autonomous Ecommerce. The goal is to reduce manual configuration work and allow merchandisers to focus on strategy, while AI handles operational execution across the merchandising workflow.