Technology Stack

AI Technology High level overview

Pulsebot AI is powered by state-of-the-art natural language processing models. These algorithms analyze consumer behavior, preferences, and market trends to deliver personalized product recommendations. The AI system begins with intent classification where categorsies the user into three buckets whether the user is an informed buyer , an uniformed buyer or there is ambiguity and needs clarity. Based on this the system then reroutes to the appropriate agent for further clarity or a product search process. The system is able to scour through multiple links gathering the most important products. The system continuously lets the user query and from the interactions, provides recommendations.

In high level this can be broken down into three main components: The User query model

The product search and Analysis

The purchase decision

The following diagram summarises a step by step flow of typical user using the Pulse system.

Key components of the AI stack include:

• Recommendation Engines: Utilizing collaborative filtering and content-based filtering to provide personalized product recommendations.

• Natural Language Processing (NLP): To analyze product descriptions, reviews, and other text-based content for better matching and understanding.

• Data Analytics: Real-time analytics to compare product pricing and availability across different platforms.