Cold Outreach
Internal CRM with AI for sales reps' cold outreach
About the project
Cold Outreach is an internal tool for sales reps that I am currently working on. The app pulls information about companies from public data sources and lets reps interactively discover new potential customers. For a company they pick, AI then fills an email template into pre-prepared slots based on a description of the company, so the rep does not start from a blank page. The app also works as a CRM: it records contacts and communication and tracks when an email was opened and whether the recipient replied, so reps can see who is worth following up with.
Project information
Client
Client (under NDA)
Platform
Web application
Status
In development
Development time
Ongoing
Year
2026
Technologies used
Check out the stack I used for this project
Frontend
Backend
Database
Key features
Pulling company data from public data sources
Interactive discovery of new potential customers
AI-filled email templates based on the company description
CRM records for contacts and communication
Tracking email opens and replies
Challenges
- 1
Reliably fetching and cleaning company data from public sources
- 2
The AI has to fill the template with something relevant, not a generic phrase
- 3
Tracking emails without them landing in spam
- 4
Making it easy to discover companies among a large number of records
Solutions
- 1
Regular fetching and normalization of data from public registries, including mining data from the Collection of Deeds
- 2
AI fills the template based on the company's description using the Gemini API, not just its name and address
- 3
Tracking pixels and links to measure opens and clicks
- 4
Filtering and interactive search across companies by chosen criteria
Results
Sales reps reach more companies in less time
Emails are personalized without extra manual work
Average email reply rate of 14%, compared to a typical ~2%
The app is currently being refined in live use
Development timeline
From analysis to deployment - how the project evolved
Analysis and data sources
Choosing public company-data sources, designing normalization
AI and templates
Connecting AI to fill templates based on the company description
CRM and email tracking
Contact records, tracking opens and replies
Live use
Rollout to sales reps, tuning based on feedback
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