Create a Particl ecommerce market research agent
Build a commerce research assistant that prepares product and merchandising decisions.
Read workflow guide →
Create ecommerce research agents that turn market signals into merchandising and growth handoffs.
Example outcome
Convert ecommerce market research into an opportunity brief with competitors, signals, risks, and next actions.
Agent examples
3 guides
Build a commerce research assistant that prepares product and merchandising decisions.
Read workflow guide →
Build a commerce research assistant that studies what competitors carry before assortment decisions are made.
Read workflow guide →
Build an ecommerce workflow that turns competitive assortment insights into actionable storefront changes.
Read workflow guide →
Particl Market Research workflows in LatchLoop help agents answer ecommerce questions with structured market context. The agent can research categories, compare competitors, summarize product positioning, and prepare an opportunity brief for merchants or growth teams.
The best workflow starts with a decision: which product category to enter, which competitor to study, what pricing signals matter, or where assortment gaps exist. Ask the agent to separate observed market signals from recommendations and to state confidence clearly.
Use this page to describe workflow patterns while catalog metadata remains canonical. Particl pairs well with documents, spreadsheets, and task tools when research needs to become a merchandising plan, experiment, or owner-ready action.
Start with the ecommerce market research workflow below to build an agent that prepares a practical market brief.
Combine plugins
Outcome pages can describe combinations: one plugin for source context, another for project tracking, and another for delivery or notifications. Use Particl Market Research as one layer in a larger agent workflow when the outcome needs more than one connected app.
Available plugin capabilities
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