Managing CRM data at scale often results in duplicate leads, contacts, and accounts scattered across teams. This leads to inaccurate reporting, wasted sales effort, and poor customer experiences. Without a reliable way to detect and merge duplicates, organizations face mounting data quality issues that erode trust in the CRM system.

The CRM De-Dupe & Merge Dashboard acts as a data quality firewall for your CRM. Records are automatically scanned using fuzzy matching (names, emails, domains) and clustered with graph-based algorithms. Survivorship rules then select the most complete and accurate record, while merging duplicates seamlessly. Clean, exportable datasets are produced in minutes — without manual intervention.

By implementing this dashboard, organizations gain real-time visibility into duplicate clusters, with every merge decision traceable and auditable. The result:

30%+ reduction in duplicate records in test data

Reliable, actionable CRM data for sales and marketing teams

Faster campaigns and reporting with confidence in accuracy

Significant time savings, freeing staff to focus on revenue, not cleanup

Python + Pandas → data processing

RapidFuzz → fuzzy string matching

NetworkX → graph clustering

Streamlit → interactive UI

Hugging Face Spaces → cloud deployment

Try the demo: Upload your Leads, Contacts, and Accounts, or download pre-loaded sample files to test instantly.
See how messy CRM data transforms into clean, reliable, and campaign-ready records.