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Introduction to AI in Digital Shopping

12 Mar 2025 AI Chatbots
Kavita Jha 3D Comments

AI is changing the way of interactions between businesses and customers. From chat support to personalized recommendations, AI's role in digital shopping has grown significantly. For more information on AI in digital shopping, visit AI in Digital Shopping.

How AI Chatbots Work

AI Chatbots are software programs that use advanced language processing technology to understand and respond to user queries. They rely on Natural Language Processing (NLP) and machine learning to simulate human conversations. Learn more about NLP at NLP Wikipedia.

Understanding Different AI Assistants in Digital Shopping

  • AI Chatbots
    • Designed for answering common questions and automating customer support.
    • Uses NLP and predefined responses.
    • Works best for transactional interactions, but lacks personalization.
  • AI Shopping Assistant
    • More advanced than AI Chatbots, offering shopping recommendations.
    • Analyzes user preferences to suggest products.
    • Still lacks deep context awareness and sentiment adaptability.
  • Kiksy.live’s Agentic AI
    • A next-gen AI plug-in that delivers hyper-realistic, human-like conversations.
    • Uses Generative AI, NLP, RAG implementation, and Large Language Models (LLMs).
    • Adapts to user behavior, provides real-time support, and integrates with virtual stores.
    • Autonomously executes customer requests in an enterprise setting.
    • Visit Kiksy.live for more details.

Impact of Conversational AI

Conversational AI has transformed how brands interact with customers. Unlike traditional AI Chatbots, advanced Conversational AI solutions like Kiksy.live offer real-time, contextual, and adaptive conversations. Businesses using Conversational AI report higher customer satisfaction, better engagement, and reduced operational costs.

How Kiksy.live Outperforms Traditional AI Assistants

  • Hyper-realistic, humanized interaction: Unlike AI Chatbots, Kiksy.live provides a digital twin that mimics real human behavior.
  • Continuous learning: It adapts to conversations in real-time using LLMs and RAG implementation.
  • Multilingual support: Unlike standard AI Shopping Assistant tools, Kiksy.live supports multiple languages and regional accents.
  • Seamless integration: Works with virtual stores, customer support, and even 3D AI-powered environments.

Comparison: AI Chatbots vs. AI Shopping Assistant vs. Kiksy’s Agentic AI Plugin

Feature AI Chatbots AI Shopping Assistant Kiksy’s Agentic AI Plugin
Function Answers queries Provides shopping recommendations Engages in real-time human-like interactions
Personalization Limited Moderate Highly adaptive and contextual
Learning Ability Basic Learns from past data Continuously adapts in real-time
Visual & Voice Mostly text-based Some voice integration Realistic voice, lip-sync, and multilingual support
Context Awareness Low Medium High with deep contextual understanding

AI's Role in Digital Shopping

AI is transforming e-commerce by improving personalization, automation, and real-time assistance. AI Shopping Assistant tools help customers find the right products, answer queries, and guide users through the purchase journey.

Industry Insights & Market Growth for AI in Customer Service

The global AI market size was valued at $196.63 billion in 2023 and is projected to grow at a CAGR of 36.6% from 2024 to 2030. Generative AI in customer service was valued at $371.1 million in 2023 and is expected to grow to $3233.4 million by 2033, with a CAGR of 24.17%.

The Future of AI in Digital Commerce

The shift towards Agentic AI is just beginning. Companies that invest in Conversational AI and AI Shopping Assistant solutions are already seeing increased customer engagement. As AI technology advances, tools like Kiksy.live will redefine digital commerce, making online shopping more immersive, interactive, and intelligent.

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Kavita Jha

Chief Executive Officer

Kavita has been adept at execution across start-ups since 2004. At KiKsAR Technologies, focusing on creating real life like shopping experiences for apparel and wearable accessories using AI, AR and 3D modeling