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WhatsApp Chatbot

Apply, Ask, Build–Everything Starts with a Chat.

What is WhatsApp Chatbot ?

The WhatsApp Chatbot at Squareboat is an AI-powered conversational assistant built using Twilio’s WhatsApp Business API. It simplifies what used to be manual: it receives, classifies, collects, and connects, without missing a beat. It serves as a conversational gateway to Squareboat’s hiring and business inquiry processes. This solution was built entirely in-house using Python, FastAPI, and Twilio, as part of Squareboat’s AI Development Services. When a user initiates a chat, the bot intelligently analyses the purpose of the message and initiates a corresponding workflow. The bot connects to key backend services, such as our Applicant Tracking System (ATS) and Lead Management System, helping to eliminate manual effort, speed up processing, and ensure consistency across all incoming queries.

Want to apply or talk business with us? Just say “Hi” on WhatsApp and let our AI Chatbot do the rest. Chat now

BUSINESS VERTICALS

Business

SERVICES

AI Development Services

TECHNOLOGY STACK

Python

LlamaIndex

Langchain

LanGraph

Redis

Docker

OpenAI

What we built?

What Happens When You Say 'Hi' to Our WhatsApp Chatbot?

Squareboat’s WhatsApp Chatbot was developed to handle a growing volume of incoming messages related to hiring and sales. The chatbot operates through a structured decision flow, first identifying the nature of the query — whether it concerns careers or sales and then dynamically adjusting the conversation path. The chatbot automates the first level of interaction, significantly reducing the need for manual intervention. This improves the user experience by offering fast and reliable communication on a familiar platform. This is just one example of how chatbots are revolutionizing market research and operational automation across industries.

Processing Careers and Sales Queries Through Our WhatsApp Chatbot

Acting as a real-time interface, the chatbot responds instantly and presents users with clear options to select the purpose of their message. By guiding through pre-defined paths, the bot ensures that we collect complete, structured data every time.

The users are prompted with two options, namely: careers and sales.

Job applications and ATS Integration: If the user selects careers, the chatbot asks for their basic information, which includes a resume. This data is captured and passed to a backend service built using Python and FastAPI. The system supports file uploads in common formats like .pdf, .doc, and .docx, which are processed through a file management pipeline. An internal parser parses the resume to extract structured fields, which are then validated and formatted. It is sent to ATS, where a complete candidate profile is created entirely without manual input, automatically populating fields like name, experience, skills, and contact details.

Sales Lead Capture: If the user selects sales, the chatbot prompts them to share key details such as their name, company, contact information, and a brief description of their requirement. This data is also routed to the same Python + FastAPI backend, validated, and stored in our Lead Management System, which shares its backend with the contact forms on the Squareboat website. This ensures that all the leads, regardless of where they come from, WhatsApp or the web, are stored in a single unified location.

Fallback Messaging with Session Tracking: We added fallback messaging to make sure every query is handled correctly. With built-in session tracking, users can resume conversations without re-entering previous responses. These features work together to provide a smoother, more reliable user experience.