This workflow automatically scrapes competitor product data from Amazon and identifies gaps in your assortment, pricing, and positioning.
It helps merchandising and product teams spot opportunities they are missing before competitors fill them.
This workflow uses Bright Data to scrape Amazon product pages, then normalizes the data and feeds it to AI for competitive gap analysis.
It identifies:
Each opportunity is scored and prioritized — high-impact gaps are routed to dedicated sheets, while standard opportunities are logged separately.
All results are sent to Google Sheets dashboards for structured decision-making.
Download the .json file and import it into your n8n instance.
Add your Bright Data API credentials to the Bright Data node.
Add your OpenRouter API key for AI competitive analysis.
Create a spreadsheet following the "Google Sheets Setup" sticky note inside the workflow.
Connect each Google Sheets node to your document.
Edit the configuration node to define:
Discover product variants competitors carry that are missing from your catalog.
Detect pricing gaps and positioning weaknesses relative to competitors in your category.
Find bundle and cross-sell opportunities based on real competitive data.
Track assortment gaps across an entire product category to prioritize expansion.
Build a data-driven competitive intelligence layer for smarter assortment and pricing decisions.
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#competitortracking #merchandising #bundleopportunities #n8nworkflow #workflow
#nocode #businessintelligence #marketresearch #pricingoptimization
#categorymanagement #retailintelligence #competitivelandscape
#productexpansion #ecommerceautomation