Salsify, a leading Product Experience Management (PXM) platform, has launched a new generation of AI tools designed to transform how global brands and retailers manage product data.
The release introduces Angie, a conversational assistant, and the AI Intelligence Suite, both built to simplify and automate digital commerce workflows.
As the retail industry accelerates toward agentic commerce, where AI assists shoppers in decision-making, Salsify’s innovations aim to make product data cleaner, faster, and ready for integration into AI-driven environments.
Reimagining Product Experience Management with AI
For years, Salsify has supported top enterprises such as L’Oréal, Coca-Cola, Bosch, and DoorDash in managing and distributing product information across channels.
The company’s latest AI-powered tools represent a major leap in automating repetitive product-data tasks.
At the center of the update is Angie, an intelligent conversational assistant integrated directly into Salsify’s platform.
Users can now interact with Angie in natural language to configure workflows, generate formulas, or execute data transformations, without writing code.
According to Salsify, the goal is to empower business users who lack technical expertise but need to work at the speed of modern commerce.
By removing friction in product-data workflows, brands can shorten time-to-market and reduce dependence on IT teams.
Automating Content Creation and Governance
Complementing Angie is the Salsify Intelligence Suite, a no-code automation layer built on the platform’s workflow engine.
This suite introduces a range of AI-driven task types that handle content creation, data extraction, and governance with minimal human input.
- Automated Product Descriptions: Generates SEO-optimized copy while maintaining brand tone.
- Smart Image and Document Parsing: Extracts attributes and specifications from visuals and PDFs.
- Real-Time Consistency Checks: Detects missing data, duplicates, and inconsistencies across channels.
- Predictive Data Governance: Identifies potential listing issues before they affect marketplaces such as Amazon, Walmart, or Target.
These tools reflect the growing need for self-correcting AI systems that reduce manual effort and maintain data accuracy across complex digital ecosystems.
Bridging the Gap Between Humans and AI Agents
Salsify’s leadership says these upgrades are more than productivity boosters, they prepare businesses for the next era of agentic commerce.
In this new model, AI agents independently source, evaluate, and recommend products to buyers.
To support this shift, Salsify has connected with top AI infrastructure providers, including OpenAI, Google, Anthropic, and Microsoft Azure.
Through the company’s Agentic Commerce Protocol, verified product data can be shared directly with AI models.
This ensures that when shoppers use conversational tools like ChatGPT, they receive accurate, brand-approved product details instead of unreliable third-party data.
This integration marks a major step toward trustworthy AI commerce, aligning Salsify’s ecosystem with the growing needs of both brands and intelligent shopping platforms.
Scaling Automation Without Increasing Headcount
Salsify’s platform processed over 500 million automated tasks in the past year.
With Angie and the Intelligence Suite now live, that number is expected to rise dramatically.
Businesses can now expand product catalogs and global reach without hiring additional staff.
For large enterprises, this means scaling operations efficiently while maintaining precision.
For smaller brands, it levels the playing field by offering enterprise-grade automation at a lower cost.
Global Reach and Industry Adoption
Salsify operates in more than 140 countries, serving as a key player in digital shelf management.
Its tools integrate with e-commerce giants, distributors, and regional marketplaces, enabling structured product feeds, syndication, and real-time updates.
Early adopters across industries like consumer goods, electronics, automotive, and food report promising results.
Pilot programs show up to a 70% reduction in manual data entry time and significant gains in content accuracy and localization.
Salsify’s ability to manage both PXM and Product Information Management (PIM) at scale gives it an advantage over competitors like Akeneo and Pimcore, which lack built-in conversational AI and workflow automation.
The Business Case for AI-First PXM
In today’s digital commerce landscape, poor product data leads to missed sales.
Shoppers often abandon carts when details are missing, images are unclear, or descriptions vary across platforms.
Salsify’s AI-driven features solve this problem by:
- Ensuring all product listings are complete, compliant, and channel-ready.
- Reducing product-launch timelines from weeks to days.
- Maintaining consistent content across regions and marketplaces.
- Creating a unified, dynamic record for product experience data.
With AI managing validation, enrichment, and optimization, teams can focus on creative storytelling and strategy, areas that strengthen brand identity.
Future Outlook: Product Data as a Strategic Asset
Industry experts believe Salsify’s new AI suite reflects a wider shift in digital commerce.
As AI systems increasingly guide purchase journeys, structured and machine-readable data will become a critical advantage.
Salsify’s AI-ready data infrastructure sets a new standard for eCommerce.
It demonstrates how automation, interoperability, and human-AI collaboration can coexist in a single ecosystem.
The company plans to expand its Agentic Commerce Protocol and deepen integrations with additional AI ecosystems.
This ongoing evolution shows that Salsify is not only adapting to AI commerce, it’s helping define it.
Conclusion
Salsify’s 2025 AI launch is more than a software update, it’s a bold step toward the future of digital commerce.
By combining conversational intelligence, automation, and verifiable data exchange, the company positions itself as the bridge between today’s eCommerce systems and tomorrow’s AI-driven marketplaces.
For modern businesses, Automation, data accuracy, and AI readiness aren’t optional anymore, they’re essential for survival in the next phase of digital commerce.
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