Case Study - Artificial Intelligence

Automated Chatbot for Image Upload and Sales Inquiry

Share your idea

Contact us and we’ll manage everything else

Get a free quote
Automated Chatbot

An automated chatbot developed by Codelulu, for an online sales company. The automated chatbot interacts with customers and uploads images on the website. The system uses advanced tech-like language models to understand customers. It is a safe, scalable design to handle lots of traffic. It helps the customers to save time. It gives fast replies and keeps the customer data safe and secure.

GOAL

The primary goals of the project were:

  • Automate Customer Interactions: Refine the customer inquiries and be able to post them on the website.
  • Enhance Customer Experience: Provide quick and accurate responses to customers’ queries, ensuring a seamless interaction.
  • Improve Efficiency: Reduce manual work for human employees by automating image uploads and inquiry responses.
  • Ensure Security and Reliability: Safeguard customer data and maintain system uptime through robust security and backup measures.

Challenges

The development team faced several challenges during the project:

  • Natural Language Understanding: Creating the chatbot asking the selling question to the customer. Understand their purpose and respond to them. It can handle different types of queries.
  • Image Upload Automation: The chatbot can help customers by uploading images to the website.
  • Scalability: A system that can handle many customer inquiries at the same time without slowing down.
  • Security and Data Protection: Using security measures to protect customer data and ensure safe and reliable operations.

DEVELOPMENT APPROACH

  • Technology Choice: Angular for the front end, and Python Flask or Django for the backend to build a reliable and efficient system.
  • LLM Integration: OpenAI GPT-3.5 for language processing to handle customer questions.
  • Scalability and Load Balancing: Nginx load balancers are set up at the front and back ends to distribute the workload across many servers.
  • Security and Data Protection: SSL/TLS encryption, firewalls, and IDS/IPS systems provide security and data protection.
  • Continuous Testing and Optimization: Regular testing and improvements to enhance performance and reliability.

Tools and Components

  • Frontend: Angular for the UI.
  • Backend API: Python Flask/Django for efficient handling of customer interactions.
  • LLM Integration: OpenAI GPT-3.5 for natural language processing.
  • Database: MySQL for storing user preferences and conversation histories.
  • Load Balancers: Nginx for even workload distribution.
  • Security: SSL/TLS encryption, firewalls, and IDS/IPS systems for data protection.

Key Features

  • Automated Customer Interaction: The chatbot handles customer inquiries and image uploads.
  • Natural Language Understanding: Utilize a pre-trained LLM for accurate query understanding and response generation.
  • Image Upload: Direct image upload to the website based on customer interactions.
  • Scalability: The system can handle high volumes of traffic without performance degradation.
  • Security and Reliability: Robust measures ensure customer data protection and continuous uptime.

IMPACT

  • Enhanced Customer Experience: The chatbot provided instant and accurate responses, enhancing customer satisfaction.
  • Increased Efficiency: Reduced manual labor and improved productivity by automating tasks such as image uploads.
  • Data Security: Safeguarded customer data with secure measures, boosting customer trust.
  • Business Growth: The streamlined and efficient customer interactions contributed to business growth and customer loyalty.

Our Commitment

Codelulu made the chatbot and updated it to meet what customers and the company needed. The development team watches how the system is working. Update it and add new features when required to maintain good service. By being proactive and adaptable, the team aims to keep high standards and help the business grow.