Constructor debuts AI agent for eCommerce merchandising

On March 24, 2026, Constructor announced the launch of a groundbreaking AI agent designed specifically for eCommerce merchandising teams. This innovative product, named the Merchant Intelligence Agent (MIA), aims to enhance the efficiency of online product discovery for retailers.

Overview of Merchant Intelligence Agent (MIA)

MIA is integrated within Constructor’s existing search and product discovery platform, providing a conversational interface that allows users to understand the reasons behind product visibility in search results, category pages, and marketing campaigns. This tool is particularly beneficial for merchandising teams who are tasked with managing the rules and visibility of products across digital storefronts.

Challenges Faced by Merchandising Teams

In the fast-paced world of eCommerce, merchandising teams often face challenges when unexpected changes occur in product visibility. These changes can include products dropping from key search queries, promoted items losing their prominence, or campaigns failing to achieve desired visibility. To diagnose these issues, teams typically rely on multiple tools and dashboards, which can be time-consuming and inefficient.

How MIA Enhances Workflow

MIA is designed to streamline the investigative process by providing AI-generated explanations directly within the Constructor platform. It offers proactive prompts that appear without the need for user queries, as well as a chat-based interface that accepts natural-language questions regarding product visibility and performance.

Merchandisers can ask specific questions, such as:

• Why is a product not appearing for a particular query?
• What factors influence its ranking?
• What changes could improve visibility for a specific category or campaign?

Key Functions of MIA

MIA offers three primary functions:

1. Explaining Results: MIA generates detailed explanations based on a retailer’s store data, ranking logic, and merchandising rules.
2. Suggesting Next Steps: The agent provides actionable recommendations aligned with team goals, such as enhancing the ranking for a key query or boosting visibility for a campaign.
3. Automating Actions: MIA can automate selected actions, such as pre-filling campaign setup fields, which merchandisers can review and edit before deployment.

Internal Reporting and Performance Metrics

For internal reporting purposes, MIA can generate executive-ready summaries that highlight trends and performance metrics, making it easier for teams to share insights across the organization.

Commerce Reasoning Engine

MIA operates in conjunction with Constructor’s Commerce Reasoning Engine, which serves as the logic layer that determines what products are displayed to shoppers and when. This engine processes real-time shopper behavior and context, blending it with historical interactions, survey responses, offline signals, and merchandising configurations. MIA acts as an explainability layer, providing transparency for the decisions made by the platform.

The Growing Role of AI in Retail

The launch of MIA comes at a time when eCommerce teams are increasingly exploring the capabilities of generative AI beyond traditional customer service applications. Product discovery is a critical component of eCommerce success, as even minor adjustments in product ranking and availability can significantly impact conversion rates and overall revenue.

As eCommerce technology stacks become more complex, with separate systems for inventory, pricing, promotions, analytics, and personalization, the need for streamlined diagnostics becomes essential. Constructor’s MIA aims to consolidate these diagnostic capabilities into a single tool that integrates seamlessly into everyday workflows, enhancing efficiency and effectiveness.

Statements from Constructor Leadership

Eli Finkelshteyn, CEO and Co-founder of Constructor, emphasized the importance of MIA in allowing merchandisers to focus on strategy rather than time-consuming investigations. He stated, “Merchandisers are experts at retail strategy. They shouldn’t have to waste their time doing menial investigations that AI can do for them. If a merchandiser has a great idea, we want to let them have AI do the execution.”

Finkelshteyn further noted that MIA is designed to provide immediate answers when merchandising teams encounter issues, enabling them to respond quickly to changes in product visibility or campaign performance.

MIA Demonstration at Shoptalk Spring

Constructor is showcasing MIA at Shoptalk Spring, where attendees can engage with the product through various booth activities and a product showcase session led by Finkelshteyn and Andrew Carcova, VP of Global Solution Engineering at Constructor.

Frequently Asked Questions

Note: The information provided in this article is based on the latest announcements and developments from Constructor as of March 2026.