SulpakBot

A Telegram bot that provides real-time product recommendations from Sulpak.com, tailored to specific user queries. This bot simplifies the shopping experience by helping users find the best products for their needs.

Below is an example of how SulpakBot works in real-time.

User Query: “Recommend me an air conditioner for a small office.”

Bot Response: The bot analyzes the query and provides a tailored recommendation:

• Suggests the ARG CSH-09BA air conditioner, mentioning its suitability for small office spaces, affordability, and technical specifications like cooling capacity and area coverage.
• Provides a direct link to the product on Sulpak's website for further details and purchase.
• Includes summarized specifications, such as warranty, brand, cooling power, and recommended room size.

Features

• Real-Time Recommendations: The bot fetches product information and delivers tailored suggestions based on user queries.
• Product Filtering: Ensures results are accurate, relevant, and based on user-defined criteria like price, category, and quality.
• Natural Language Processing: Handles user questions such as:

"What is the best cheap aircon for my bedroom?" "Recommend a gaming laptop within my budget."

How It Works

• User Interaction: Users send queries to the bot through Telegram.

• Query Processing: The bot parses the input to understand user intent and product requirements.

• Sulpak Integration: Retrieves product data from Sulpak’s inventory in real-time.

• Recommendations: Provides the best-matching products directly in the chat.

Technologies Used

• Telegram Bot API: To handle communication between the user and the bot.

• Python: For bot development and backend logic.

• Sulpak’s API/Website Scraping: To fetch real-time product data.

• Natural Language Processing (NLP): For parsing and understanding user queries.

Engineering & Design

This bot was engineered, designed, and presented during my internship at Sulpak, one of Kazakhstan's largest retail companies. The project demonstrated:

• Proficiency in developing scalable chatbot solutions.

• Integration with real-time data sources.

• Application of user-focused design principles to create an intuitive experience.

Possible Enhancements

• Expand support for additional product categories.

• Integrate with other e-commerce platforms.

• Enhance NLP capabilities for more complex queries.