Load all enrichment outputs: crawl results, contacts, emails, social, verification results.
Map source columns to standardized schema. Flag unrecognized columns (COLUMN_MAP in merge_engine.py).
Group all records by Official_Domain. Merge company-level data within each group.
Dedup contacts by domain + email identity keys. Keep highest-confidence version of each contact.
Score each record 0-100 based on source reliability, email verification, and data completeness.
Classify into HIGH (70+), MEDIUM (40-69), LOW (20-39), SKIP (<20) tiers.
Generate 5-sheet color-coded Excel at database/Final_Merged_Output.xlsx.
Generate CRM-ready CSV at database/CRM_Export_YYYY-MM-DD.csv.
After running enrichment pipeline, merge and export to CRM in one command.
Merge exhibitor data from multiple trade shows into one CRM-ready export.
Re-run enrichment periodically and incrementally sync updates to CRM.
Generate prioritized Excel for sales team review before CRM import.
Use 5-sheet Excel to review HIGH/MEDIUM/LOW/SKIP distribution and spot data issues.
Export separate sheets for different sales teams or territories.
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