WORLDEF ISTANBUL 2026 - Early Bird Registration Ends Soon

Register Now

Salesforce’s 2-Platform ChatGPT Pilot Signals Positive Shift Toward AI-Powered Commerce Channels

Salesforce’s 2-Platform ChatGPT Pilot Signals Positive Shift Toward AI-Powered Commerce Channels

Salesforce is taking a major step into the future of digital commerce, piloting an integration with ChatGPT that could redefine how products are discovered and sold online. The initiative highlights a broader industry shift toward AI-driven shopping experiences, where conversational interfaces are becoming new sales channels.

The pilot program, currently involving dozens of retailers, enables merchants using Salesforce Commerce Cloud to integrate their product catalogs directly into ChatGPT. This allows products to appear within AI-driven conversations, effectively turning ChatGPT into a discovery and potential transaction layer for e-commerce.

Brands such as Crocs and Pacsun are already participating in early tests, signaling strong interest from retailers looking to tap into emerging AI ecosystems. The integration focuses on “syndication,” ensuring that product listings are visible and accessible within AI platforms where consumers are increasingly spending time.

ChatGPT Integration Reshapes Digital Commerce Discovery

At its core, this move reflects the rise of “agentic commerce” a model where AI assistants guide users through the entire shopping journey, from discovery to purchase. Instead of browsing traditional websites, consumers can interact with AI tools, ask for recommendations, and potentially complete transactions within a single conversational flow.

Salesforce has indicated that its strategy extends beyond a single AI partner. The company is also exploring integrations with other large language models, including those from Anthropic and Google, aiming to create a flexible ecosystem where merchants can reach customers across multiple AI-driven platforms.

This aligns with broader developments in the industry, where AI is increasingly embedded into commerce infrastructure. Through initiatives like Agentforce Commerce, Salesforce is building capabilities that allow brands to connect product catalogs, pricing, and checkout systems directly into AI environments, enabling seamless in-chat purchasing experiences.

For retailers, this shift opens new opportunities but also introduces new challenges. Visibility in AI-generated results may become as critical as search engine rankings, forcing brands to rethink content strategies, product data optimization, and digital merchandising.

Despite being in the early stages, Salesforce’s pilot signals a clear direction for the future of commerce. As AI platforms evolve into transactional environments, the traditional boundaries between discovery, engagement, and purchase are beginning to disappear.

Ultimately, the integration of Salesforce and ChatGPT represents more than a technical upgrade it marks the emergence of a new commerce paradigm where conversations, not clicks, drive online shopping.

Source

OpenAI Defers Its Plan for Direct Shopping via ChatGPT

OpenAI

OpenAI is making a significant strategic shift at a time when AI-powered shopping experiences are increasingly being discussed. The company has temporarily suspended the system that would enable direct payments through ChatGPT. Instead, it is reported that the company is focusing on a model that redirects users to brands’ or retailers’ own platforms.

Despite the rapid emergence of the AI-mediated shopping model known as “agentic commerce” in the technology world, OpenAI is said to be reassessing its plans in this area.

ChatGPT Will Remain a Discovery Tool

Rather than launching the integrated payment system planned for ChatGPT, OpenAI prefers to position artificial intelligence as a product search and recommendation engine. In this model, users will be able to discover products through ChatGPT, but they will complete the purchase process through the brands’ or e-commerce platforms’ own applications.

The “Instant Checkout” feature that the company tested last year was developed particularly for Etsy and Shopify sellers. However, it is stated that the system did not attract the expected interest and was used by only a limited number of merchants in the United States.

User Habits Became a Barrier at the Purchase Stage

Studies analyzing user behavior by OpenAI show that the product research and comparison phase within ChatGPT is quite active. However, it has emerged that users are more cautious about completing the purchase process within the AI interface.

A study published by Adobe also presents a similar picture. According to the report, 70 percent of consumers are comfortable with artificial intelligence assisting in shopping processes. However, only 13 percent of respondents trust AI tools to complete purchases on their behalf.

Collaboration Between OpenAI and Stripe Continues

It is reported that OpenAI has not completely abandoned payment processes, but plans to carry out these transactions through different systems rather than within its own platform. Through the infrastructure called the Agentic Commerce Protocol, which the company developed together with Stripe, transactions are expected to be carried out more smoothly. This approach may also open the door for OpenAI to move toward different areas within its revenue model. In particular, advertising and sponsorship-based revenue models built around product discovery and recommendation processes are expected to come to the forefront.

Competition in AI-Powered Commerce Is Intensifying

Competition in the field of AI-based commerce is steadily increasing. While Google is working on a new infrastructure aimed at standardizing e-commerce data on a global scale, Meta is also testing AI-powered shopping features within its social media platforms.

According to experts, although AI-powered shopping technologies are developing rapidly, it will take time for consumer habits to adapt to this transformation. For this reason, the sector is expected to shift toward hybrid models in the short term that strengthen product discovery and decision-making processes, rather than enabling direct purchases through artificial intelligence.