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Create a Particl competitor assortment agent

Build a commerce research assistant that studies what competitors carry before assortment decisions are made.

Workflow outcome

Convert competitor assortment research into a merchandising brief with gaps, patterns, and recommended tests.

What this agent helps you do

A Particl competitor assortment agent helps merchants understand how competitors structure products, categories, pricing, and positioning. It prepares observations that can inform merchandising choices without pretending market data is a complete strategy.

When to use this workflow

Use it before assortment expansion, seasonal planning, pricing research, category reviews, or competitive merchandising updates.

How Particl gives the agent context

Connect Particl and define the competitors, category, product type, market, and questions. Ask the agent to separate observed signals from recommendations and state confidence.

Example starter prompt

Research competitor assortment for this ecommerce category with Particl. Summarize product patterns, pricing or positioning signals, gaps, risks, and recommended tests for our merchandising team.

Suggested workflow steps

The agent gathers competitor context, groups assortment patterns, identifies gaps, and ranks tests by confidence and effort.

Expected handoff

The output should include competitor notes, pattern summary, opportunity list, assumptions, and next actions. It can become a merchandising plan or experiment backlog.

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