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AI bot for lead generation
95%
reduction in lead generation time
AI-powered chatbots and the LLM
Customer
DUC Sales Managers
CHALLENGES/FEATURES
High costs and time-consuming manual searches and verification of potential clients (leads).
The need to analyze each potential client's business to personalize the offer.
Low conversion rates for cold emails sent without prior analysis and personalization.
A large amount of routine work: searching for companies, collecting contacts, writing the initial message.
The need to analyze each potential client's business to personalize the offer.
Low conversion rates for cold emails sent without prior analysis and personalization.
A large amount of routine work: searching for companies, collecting contacts, writing the initial message.
Develop an automated AI bot for Telegram that, based on a user's keyword (e.g., "logistics companies in Moscow"), automatically finds companies, analyzes their business, generates personalized proposal ideas, and creates a welcome email draft.
After the user validates the prepared emails, the bot sends them. All data should be automatically recorded in a Google Sheet for future management.
After the user validates the prepared emails, the bot sends them. All data should be automatically recorded in a Google Sheet for future management.
Task
solution
Technical solution
The standalone lead generation bot is implemented in Telegram using Python.
The solution integrates several powerful APIs and uses a large language model for data analysis.
The process is fully automated:
Search: Upon receiving a request, the bot uses a tool to search for companies online and collect a list of their websites.
Parsing: A special module parses the collected websites to extract key contact information (email, phone numbers) and company information (description, services).
Analysis: The extracted data is fed into a large language model, which analyzes the company's business and generates unique automation ideas.
Text generation: Based on the analysis, the AI automatically creates a draft of a personalized welcome email for each lead.
Export: All received data (company name, website, contacts, analysis, ideas, and email draft) is structured and saved to a specified Google Sheet via the Google Sheets API.
Email distribution: After reviewing the prepared emails and confirming the user's approval, the bot sends the emails to the recipients.
The solution integrates several powerful APIs and uses a large language model for data analysis.
The process is fully automated:
Search: Upon receiving a request, the bot uses a tool to search for companies online and collect a list of their websites.
Parsing: A special module parses the collected websites to extract key contact information (email, phone numbers) and company information (description, services).
Analysis: The extracted data is fed into a large language model, which analyzes the company's business and generates unique automation ideas.
Text generation: Based on the analysis, the AI automatically creates a draft of a personalized welcome email for each lead.
Export: All received data (company name, website, contacts, analysis, ideas, and email draft) is structured and saved to a specified Google Sheet via the Google Sheets API.
Email distribution: After reviewing the prepared emails and confirming the user's approval, the bot sends the emails to the recipients.
Result
Business values
Business scalability
Reduce lead generation time by 95%
The ability to instantly generate targeted lead lists for new niches or verticals without the need for additional human resources.
The bot completes in a few minutes the amount of work that would take a manager a whole day.
Deep business analysis and a personalized offer generated by AI increase the likelihood of a positive response to a cold email.
Reducing operating costs
Increasing response conversion
Automating the routine process of prospecting and initial analysis frees up employees for more important tasks – direct negotiations and closing deals.
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