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Create a Particl ecommerce market research agent

Build a commerce research assistant that prepares product and merchandising decisions.

Workflow outcome

Convert ecommerce market research into an opportunity brief with competitors, signals, risks, and next actions.

What this agent helps you do

A Particl ecommerce market research agent helps teams understand a product category or competitor set. It can summarize observed market patterns and identify follow-up opportunities.

When to use this workflow

Use it before launching products, refreshing assortment, studying competitors, preparing pricing research, or building a growth experiment.

How Particl gives the agent context

Connect the plugin and define the market, category, competitor set, product type, or research question. Ask the agent to distinguish observed data from strategic interpretation.

Example starter prompt

Research this ecommerce category with Particl. Summarize competitor positioning, product patterns, pricing or assortment signals, risks, and three prioritized opportunities for our team to evaluate.

Suggested workflow steps

Define the category, gather market context, group findings by competitor and product pattern, identify opportunities, and rank next actions by confidence and effort.

Expected handoff

The output should include a category summary, competitor notes, opportunity list, assumptions, and recommended next steps. It can become a planning doc or task queue.

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