San Francisco-based Pinkfish, which makes an agentic AI platform that it says makes enterprise automation as simple as natural language conversation, has announced the launch of retail-ready AI agents specifically created to automate the manual workflows that consume retail teams’ time. The company’s agentic AI platform combines RPA, iPaaS, and AI agents in a single deterministic platform, enabling anyone to build powerful automations without coding knowledge.
The new agents come pre-configured for three critical retail functions – marketing, merchandising and commerce operations. They offer retailers a fast, low-friction path to AI adoption, especially for teams looking to unlock automation without deep technical overhead.
“We at Pinkfish have been working with some incredible retailers to give their teams the power of AI and automation,” said Charanya “CK” Kannan, Founder and CEO of Pinkfish. “I’d love to share what we’re seeing and learn more about what you’re up to as well.”
Pinkfish thinks that their best content on automating workflows is the use of Generative Automation – where generative AI meets enterprise scale.
“With just one great AI Automation Engineer using the right tools, it’s possible to get so much done and dramatically improve operational efficiency and margins, fast,” Kannan stated. “But here’s the real shift. It won’t stop with one person. Soon, everyone in the company will be building their own automations. Still, some high-impact projects will always need dedicated, centralized focus. This is how companies move fast.”
This is important because with retailers under increasing pressure to transform operations and embrace AI, many still struggle with how and where to start. Pinkfish addresses this challenge by embedding retail workflows directly into its AI agents. This enables companies to begin using automation immediately and scale as needed. The launch also formalizes Pinkfish’s “crawl-walk-run” approach to AI adoption, a model designed to help retailers start small, prove value quickly, and expand over time.
“The biggest barrier to AI adoption in retail isn’t interest, it’s execution,” Kannan said. “We built these agents to deliver real value from day one. It speaks the language of retail operations and plugs into existing systems, so teams can move quickly without getting overwhelmed by complexity.”
The Pinkfish agents support three key retail workflows. First is marketing, involving streamlining multi-channel campaign planning, content creation, and localization including product descriptions, images, and creative workflows. Second is merchandising, which handles product onboarding, catalogue management across thousands of SKUs, and internal documentation. The third one is commerce, which manages inventory updates, product synchronization, and data consistency across direct-to-consumer websites and marketplace platforms.
Pinkfish integrates directly with widely used retail systems, including Shopify, Akeneo, Adobe Commerce Cloud, SalesForce Commerce Cloud (SFCC), and Faire, as well as hundreds of day-to-day apps like Microsoft, Slack, Salesforce, Jira and others – allowing for quick deployment and seamless integration into existing infrastructure.
The retail AI agents reflect practical needs observed across the retail value chain. They are currently being implemented by organizations such as IPSY – spanning from direct retailers, wholesalers, and retail manufacturers. This early adoption signals strong applicability across different segments of the retail ecosystem.
“At IPSY, retail and beauty operations are anything but simple, so we needed an AI partner that could flex to our reality,” said Sree Sreedhararaj, Chief Technology Officer at IPSY. “Pinkfish didn’t just talk about adaptability, they proved it. From merchandising to creative to digital operations and IT, most of the departments now tap Pinkfish to work smarter and move faster, helping us embed AI into the heart of how we create and deliver better beauty experiences.”
Pinkfish is an official sponsor of Retail Club took place on September 14-17 and continues to position itself as a provider of AI infrastructure and a strategic partner in retail transformation, in which leading teams are going to market faster.