The Next Stage of E-Commerce: What is Agentic Commerce?

Question 1

What is Agentic Commerce, and How is it Different from Traditional E-Commerce?

Accepted Answer

Agentic commerce involves the use of autonomous AI agents that can make decisions and take actions on behalf of users or businesses. Unlike today’s ecommerce systems, which rely heavily on manual input and static rules, agentic commerce enables dynamic, context-aware interactions that adapt. These agents can take over entire shopping journeys for consumers—managing product discovery, price comparisons, checkout, and even returns—without the need for constant oversight.

Question 2

How do AI Agents Make Decisions in a Commerce Environment?

Accepted Answer

AI agents make decisions by processing structured and unstructured data from various sources, such as customer behavior, product catalogs, and market trends. Using machine learning models, they evaluate patterns, forecast outcomes, and select actions that align with predefined objectives. Over time, these agents can improve their decision-making capabilities through feedback and continuous learning.

Question 3

What are the Risks Associated with Agentic Commerce?

Accepted Answer

While agentic commerce offers significant advantages, it also introduces new risks. These include unauthorized actions taken by agents, susceptibility to manipulation, and reduced visibility into decision logic. Additionally, if not properly governed, agents could unintentionally violate policies or regulations. Platforms like Sift play a role by offering built-in safeguards such as detecting suspicious signals, behavior and pattern analytics, and adaptive fraud detection, helping AI agents act securely and within policy boundaries.

Question 4

How Can Businesses Start Integrating Agentic AI into Their E-commerce Strategy?

Accepted Answer

Businesses should start by focusing on customer-facing improvements, like creating more personalized shopping experiences, keeping payments safe from fraud, and making sure products are always available. From there, they can test agentic solutions on a small scale before rolling them out more broadly. Companies should build and manage AI agents with safeguards, making sure these systems deliver convenience and security while operating responsibly.

Question 5

What Role Does Fraud Detection Play in Managing Agentic Commerce Systems?

Accepted Answer

Fraud detection is essential in agentic commerce to ensure that autonomous agents are not exploited or misused. As agents operate independently, they can become targets for sophisticated fraud tactics, including account takeovers and AI scams. Integrating modern fraud prevention helps maintain trust, protect customer data, and ensure agents operate within safe and authorized parameters.

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