You will get AI Outbound Sales Automation


Project details
We built an AI SDR + Outbound Automation Platform that helps outbound teams scale personalized outreach, handle replies automatically, and convert conversations into booked meetings—without increasing SDR workload.
What it does:
• Bulk personalized email campaigns via Gmail OAuth (secure, no password storage)
• Template variables like {{name}}, {{company}}
• Background execution with batch sending + rate limiting
• Auto token refresh so long campaigns don’t fail
• Real-time dashboard (sent/failed/pending) + completion tracking
• Per-email logs with timestamps and failure reasons
• AI reply handling: reads responses, handles objections, follows up, detects intent
• Threading with reply limits to prevent over-messaging
• Cal.com integration to auto-book meetings when prospects show interest
How it helps:
Teams stop wasting time on manual sending, late follow-ups, and scheduling back-and-forth. The system improves reply-to-meeting conversion by responding instantly and keeping threads active, while managers get clear visibility through logs and campaign analytics.
Optional add-on (on demand): Prospecting + lead research agent based on ICP and triggers.
What it does:
• Bulk personalized email campaigns via Gmail OAuth (secure, no password storage)
• Template variables like {{name}}, {{company}}
• Background execution with batch sending + rate limiting
• Auto token refresh so long campaigns don’t fail
• Real-time dashboard (sent/failed/pending) + completion tracking
• Per-email logs with timestamps and failure reasons
• AI reply handling: reads responses, handles objections, follows up, detects intent
• Threading with reply limits to prevent over-messaging
• Cal.com integration to auto-book meetings when prospects show interest
How it helps:
Teams stop wasting time on manual sending, late follow-ups, and scheduling back-and-forth. The system improves reply-to-meeting conversion by responding instantly and keeping threads active, while managers get clear visibility through logs and campaign analytics.
Optional add-on (on demand): Prospecting + lead research agent based on ICP and triggers.
AI Development Type
Deep Learning, Knowledge Representation, Recommendation SystemAI Tools
Google AutoML, MLflow, OpenCV, TensorFlowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$99
|
Standard
$200
|
Advanced
$300
|
|---|---|---|---|
| Delivery Time | 15 days | 10 days | 10 days |
Number of Revisions | 2 | 5 | 5 |
AI Model Integration | |||
Detailed Code Comments | - | ||
Knowledge Graph | - | ||
Model Documentation | - | ||
Ontology | - | ||
Source Code | - | - | - |
Taxonomy | - |
About Arpit
Web Development | MERN Stack (MongoDb, Express.js, React.js, Node.js)
New Delhi, India - 7:27 pm local time
I have beginner-level knowledge of Python, MongoDB, SQL, jQuery, Git, GitHub, and Unix. I am also skilled in content writing and have intermediate proficiency in this area.
Overall, I have a strong set of technical and creative skills that make me a versatile and valuable asset to any team or project.
Steps for completing your project
After purchasing the project, send requirements so Arpit can start the project.
Delivery time starts when Arpit receives requirements from you.
Arpit works on your project following the steps below.
Revisions may occur after the delivery date.
Step 1 — Requirements & Access
Client shares goals, target audience, sending email(s), templates (if any), and required access (GitHub/Vercel/hosting + Cal.com). We confirm scope, timelines, and success criteria.
Step 2 — Setup & Integrations
We configure the system, connect Gmail OAuth for secure sending, set environment variables, and integrate Cal.com scheduling. Core services are validated end-to-end in a staging setup.



