experro merchant assistant

Your merchandising team, minus the manual work

Experro Merchant Assistant (EMA) uncovers missed revenue opportunities, explains what's impacting performance, and recommends actions your team can approve and launch in minutes.

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The entire merchandising loop, in one chat

EMA is your merchandising co-pilot, helping you move from insight to action in a single conversation. Ask a question, understand why a result ranks, see the fix, and take action instantly. One intelligent assistant for the entire merchandising workflow.

Get Answers, Not Another Dashboard
ASK

Get Answers, Not Another Dashboard

Ask EMA what's impacting conversions, where revenue is being lost, and which opportunities deserve attention. It analyzes your storefront data and delivers instant answers in plain language — no SQL, no dashboards, and no waiting on analytics teams.

TRY ASKING

  • “Which products get the most searches but the fewest purchases?”
  • “What zero-result searches are costing me revenue?”
  • “Which categories saw the biggest conversion drop this week?”
Understand the Why Behind Every Result
EXPLAIN

Understand the Why Behind Every Result

This AI merchandising assistant explains why products rank where they do, why certain results appear (or don't), and what caused performance changes across search, merchandising, and customer journeys. Every answer is grounded in your live rules, shopper behavior, and storefront data — so you get clarity, not guesswork.

TRY ASKING

  • “Which products lost the most ranking positions today?”
  • “Which high-margin products have low visibility?”
  • “How can I improve visibility for the Summer Linen Shirt?”
Analyze Performance Without Digging through Dashboards
ANALYZE

Analyze Performance Without Digging through Dashboards

The AI assistant for merchandising analytics continuously analyzes search, click, conversion, and shopper behavior data to uncover what's changing across your storefront. From emerging search trends to declining product performance, it identifies the patterns that matter and explains their business impact — so you can act before small issues become lost revenue.

TRY ASKING

  • “Why did conversions drop compared to last week?”
  • "Which products are likely to trend before demand spikes?"
  • "Which categories are showing early signs of decline?"
Get Strategic Recommendations Backed by AI Intelligence
RECOMMEND

Get Strategic Recommendations Backed by AI Intelligence

The eCommerce merchant assistant turns insights into prioritized recommendations that help improve discovery, engagement, and revenue. Instead of leaving you to interpret reports, it identifies the highest-impact opportunities, explains why they matter, and recommends the actions most likely to drive results.

TRY ASKING

  • "What should I optimize first to increase revenue?"
  • "Which products should I promote before demand spikes?"
  • "What's the highest-impact action I can take this week?"
Execute Merchandising Improvements Faster While Staying in Control
ACT

Execute Merchandising Improvements Faster While Staying in Control

EMA is an autonomous merchandising agent that doesn't just tell you what to do — it helps you do it. From merchandising rules and ranking adjustments to synonyms and collection promotions, it drafts the changes for you, explains the expected impact, and waits for your approval before anything goes live.

TRY ASKING

  • "Create a rule to bury out-of-stock products in 'sofas'"
  • "Add 'jumper' as a synonym for 'sweater'"
  • "Pin the Silk Collection to the top of 'evening wear' through Sunday"

Find and fix revenue leaks before they cost you

EMA helps you detect underperforming searches, products, and categories — so you can act on high-impact recommendations faster.

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Turn questions into results

Millions of questions. One merchant intelligent
AI agent.

From spotting what needs attention to driving measurable results, EMA helps merchandisers move faster and make smarter decisions.

How can I increase revenue from repeat buyers?

What are my top search terms this week?

Why are conversions down today?

Which products are trending right now?

How can I increase revenue from repeat buyers?

What are my top search terms this week?

Why are conversions down today?

Which products are trending right now?

What searches are returning zero results?

Which categories are underperforming, and why?

Why are shoppers abandoning checkout? Can you help me fix that?

What products should I promote this weekend?

What searches are returning zero results?

Which categories are underperforming, and why?

Why are shoppers abandoning checkout? Can you help me fix that?

What products should I promote this weekend?

What products are customers comparing most?

Which searches lead to the highest revenue?

What products are customers struggling to find?

Which search terms have no matching products?

What products are customers comparing most?

Which searches lead to the highest revenue?

What products are customers struggling to find?

Which search terms have no matching products?

Which SKUs are getting high traffic but low conversions?

Show me products frequently bought together.

Which products drive the most repeat purchases?

Which products are out of stock too often?

Which SKUs are getting high traffic but low conversions?

Show me products frequently bought together.

Which products drive the most repeat purchases?

Which products are out of stock too often?

Frequently Asked Questions

What is an AI merchandising assistant?

An AI merchandising assistant helps eCommerce teams identify revenue opportunities, understand what's impacting product discovery performance, and take action faster. Instead of manually analyzing reports and dashboards, the assistant continuously monitors search, merchandising, conversion, and shopper behavior data to surface insights in plain language.

Experro Merchant Assistant (EMA) acts as a merchant intelligence assistant and merchandiser's personal assistant, helping teams uncover issues, prioritize opportunities, and optimize storefront performance from a single conversational interface.

What does a merchandiser's day look like with the assistant in place?

With EMA acting as a merchant co-pilot, merchandisers spend less time pulling reports and more time improving performance.

A typical day includes:

  • Asking questions about search, conversion, and revenue trends
  • Understanding why products or categories are underperforming
  • Reviewing AI-generated recommendations
  • Approving merchandising actions such as ranking changes, promotions, or synonym updates
  • Monitoring opportunities and trends identified automatically by the AI merchandising agent

Instead of jumping between multiple tools, the entire merchandising workflow happens in one conversation.

Can the merchandising AI agent actually take action, or does it only recommend?

EMA does both. As a merchandising AI assistant, it identifies opportunities and recommends actions. As an autonomous merchandising agent, it can also draft merchandising changes such as ranking rules, product boosts, synonym mappings, collection promotions, and search optimizations.
Nothing goes live without approval. EMA explains the recommendation, estimates the impact, and lets your team review and approve changes before execution.

How does the agent calculate the "dollar impact" of a suggestion?

The merchant intelligence AI agent estimates impact by analyzing factors such as:

  • Search volume
  • Product visibility
  • Click-through rates
  • Conversion rates
  • Revenue per visitor
  • Historical performance trends

By comparing current performance against expected outcomes, EMA identifies potential revenue gains from specific merchandising improvements and prioritizes opportunities based on estimated business impact. 

How is merchant co-pilot different than a chatbot?

A traditional chatbot answers questions. A merchant co-pilot understands your storefront, merchandising rules, shopper behavior, and business goals.


EMA combines conversational AI for merchandising with real-time analytics, explanations, recommendations, and action execution. It doesn't just provide information — it helps merchandisers understand what happened, why it happened, and what to do next.

Can the assistant compare performance across time periods, categories, or campaigns?

Yes. EMA can analyze and compare performance across:

  • Different time periods
  • Product categories
  • Search terms
  • Merchandising campaigns
  • Collections and promotions
  • Customer segments

The AI assistant for merchandising analytics highlights meaningful changes, explains performance shifts, and identifies opportunities that may otherwise be hidden in dashboards.

How does the assistant help with eCommerce merchandising analytics?

EMA functions as a merchandising analytics assistant that continuously analyzes storefront performance across search, browsing, merchandising, and conversion data.
It helps teams:

  • Identify declining products and categories
  • Detect emerging search trends
  • Understand ranking and conversion changes
  • Find revenue leakage opportunities
  • Measure merchandising performance
  • Prioritize high-impact optimizations


Instead of manually interpreting reports, merchandisers can simply ask questions and receive actionable insights, recommendations, and next steps from an AI merchant assistant built specifically for eCommerce merchandising.