TECHNOLOGY

What is agentic commerce and how does it differ from traditional e-commerce?

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Agentic commerce uses AI agents to make purchasing decisions and complete transactions on behalf of customers, while traditional e-commerce requires customers to actively search, compare, and buy products themselves.

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Key TechnologyArtificial intelligence and automated agents
Customer RoleSets preferences; AI handles shopping and purchasing
Main DifferencePassive vs. active shopping experience
Decision MakingAI agents analyze options and make choices based on criteria
SpeedFaster transactions without human browsing time

What is Agentic Commerce

Agentic commerce refers to a shopping system where AI agents act on behalf of customers to find, evaluate, and purchase products. Instead of you visiting websites and clicking through product pages, you tell an AI agent what you need and your preferences. The agent then searches multiple stores, compares prices and features, reads reviews, and completes the purchase automatically. This technology uses machine learning and automation to handle tasks that humans normally do when shopping online.

How Traditional E-Commerce Works

Traditional e-commerce requires customers to actively participate in every step of shopping. You visit a website, browse products, read descriptions and reviews, compare prices, add items to a cart, and complete payment yourself. The customer makes all decisions about what to buy, how much to spend, and which seller to use. This hands-on approach gives customers direct control but requires more time and effort.

Key Differences

The main differences between agentic and traditional e-commerce center on who does the work and how decisions are made. In traditional shopping, humans do the searching and deciding. In agentic commerce, AI does most of the work based on your stated needs and preferences. Agentic systems can process information faster, check many stores simultaneously, and operate 24/7 without human involvement. Traditional e-commerce gives customers more direct control over each decision, while agentic commerce trades some control for speed and convenience.

How AI Agents Make Decisions

AI agents use algorithms and data to make smart shopping choices. They can understand what customers want through natural language processing, compare products across multiple websites, evaluate prices and quality ratings, and predict what customers will like based on past behavior. Agents can also negotiate prices, find coupons, check inventory, and track shipments automatically. All of this happens without requiring the customer to manually visit each website.

Benefits and Current Status

Agentic commerce offers potential benefits like saving time, finding better deals, and eliminating shopping hassles. However, this technology is still emerging and not yet widely available for most shoppers. Some companies are beginning to develop AI shopping agents, but they are not mainstream like traditional e-commerce platforms such as Amazon or eBay. As the technology improves and becomes more trusted, agentic commerce is expected to grow significantly in the coming years.

Sources

  1. techcrunch.com (techcrunch.com)
  2. forbes.com (forbes.com)
  3. research.ibm.com (research.ibm.com)