Prices are checked against each store and labelled with when.
It checks today's price at every store, compares the alternatives and answers in about a minute.
This is an n8n automation workflow that takes raw inbound B2B leads and turns them into scored, routed prospects. It normalizes messy payloads, enriches company data from email domains, scores each lead on BANT with GPT-4o-mini, and sends qualified leads into three tiered pipelines. It suits sales and RevOps teams already running n8n who want to cut manual triage, though it depends on your own OpenAI and optional Hunter.io accounts and needs setup work before it runs.
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This is an n8n workflow that captures, enriches, scores and routes B2B leads automatically. Leads enter through a webhook endpoint, which can be swapped for a HubSpot, Typeform, Pipedrive or Google Sheets trigger. GPT-4o-mini handles the AI processing.
The workflow runs in four stages. First, it maps incoming data to a standard schema regardless of field naming, with GPT-4o-mini extracting values from any payload structure. Second, it analyzes email domains to tell personal addresses from work addresses and infers seniority from job titles. Hunter.io can optionally be added for industry data and employee counts.
Third, GPT-4o-mini scores each lead with the BANT framework (Budget, Authority, Need, Timeline). Each lead gets a score out of 100 with a breakdown by component. Fourth, qualified leads are sent into one of three pipelines based on their AI-generated tier labels, with no manual review.