Skip to content

Latest commit

 

History

History
99 lines (69 loc) · 4 KB

README.md

File metadata and controls

99 lines (69 loc) · 4 KB
Raw

AI Sales Agent

I built an AI sales agent for a computer equipement Ecommerce website, the agent will streamline the customer engagement and sales processes, by automating the process of providing product recommendations, answering customers enquires, scheduling consultations, and facilitating purchases through Stripe.


AI Sales agent flowchart

Features

  • Customer Engagement: Interact with customers in a friendly and professional manner, offering accurate information about products and services.
  • Product Recommendations: Provide personalized product suggestions based on customer needs and preferences.
  • Consultation Scheduling: Schedule consultations with tech experts for complex inquiries.
  • Purchase Facilitation: Facilitate payments with Stripe by generating payment links for customers ready to buy, ensuring a smooth transaction process.

Agent Tools

  • get_store_info: This leverages RAG search to retrieve general information about the TechNerds business, services, and products. All informations are retrieved from the docs files/Docs.txt.
  • get_product_recommendation: Uses an expert product recommendation agent to find the best products the store can offer based on customer requirements.
  • generate_calendly_invitation_link: Provide a link for scheduling a consultation with a tech expert through Calendly.
  • generate_stripe_payment_link: Create a Stripe payment link for customer purchases.

How to Run

Prerequisites

  • Python 3.9+
  • Calendly API key
  • Stripe API key
  • Groq API key
  • Necessary Python libraries (listed in requirements.txt)

Setup

  1. Clone the repository:

    git clone https://github.com/kaymen99/ai-sales-agent.git
cd ai-sales-agent/website-sale-agent

  2. Create and activate a virtual environment:

    python -m venv venv
source venv/bin/activate  # On Windows use `venv\Scripts\activate`

  3. Install the required packages:

    pip install -r requirements.txt

  4. Set up environment variables:

    Create a .env file in the root directory of the project and add your API keys:

    CALENDLY_API_KEY=your_calendly_api_key
CALENDLY_EVENT_TYPE_UUID=your_calendly_event_id
STRIPE_API_KEY=your_stripe_api_key
GROQ_API_KEY=your_stripe_api_key

Running the Application

  1. To run the project, you must first create the products database (unless you have one already) by executing:

    python create_database.py

  2. Then start the Sales bot by running:

    python main.py

Contributing

Contributions are welcome! Please open an issue or submit a pull request for any changes.

Contact

If you have any questions or suggestions, feel free to contact me at [email protected].