Learn about the digital shelf, including strategies for winning sales.
How (and How Much) Will AI Change Shopping
Rob Gonzalez, Salsify co-founder & CMO, explains the shift to chat-based discovery and how brands can prepare.
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Manage all product content in one central system of record.
Syndication
Easily syndicate product content to every consumer touch point.
Enhanced Content
Enrich product pages with below-the-fold content and rich media.
Intelligence Suite
Bring AI-powered capabilities directly into your Salsify workflows.
Grocery Accelerator
Leverage the first-ever category-wide PXM accelerator in the grocery industry.
GDSN Data Pool
Synchronize standard supply chain, marketing, and ecommerce attributes globally.
Digital Shelf Analytics
Continuously optimize your organization’s product content syndication.
Catalog Sites
Share secure, on-brand, and always up-to-date digital product catalogs.
Automation and AI
Automate business processes and enhance Salsify workflows with AI.
PXM Platform, Integrations, and APIs
Integrate the PXM platform with the rest of your enterprise systems architecture.
Resources
Resource Library
Explore our ecommerce resources to get everything you need to win on the digital shelf.
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Gain the latest tips, industry trends, and actionable ecommerce insights.
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Investigate our knowledge base to build your Salsify skills and understanding.
API
Examine our comprehensive API and webhook guides to start working with Salsify quickly.
2026 Consumer Research
Our latest report shares shoppers' fresh insights on buying behavior, loyalty, AI trust, and more.
DownloadMachine learning in ecommerce is when businesses employ automated technologies to access accurate, up-to-date operational, customer, and sales data.
Machine learning (ML) is part of the burgeoning artificial intelligence (AI) boom, as it monitors, analyzes, and "learns" data in near real time. Machine learning in ecommerce is the process of using these algorithms to collect and evaluate critical business data that can help create more efficient workflows, boost sales, and enhance operations. Many brands embed machine learning in ecommerce into their websites or selling platforms.
Here, machine-learning tools can track customers' behavior and interests, for example, and provide real-time product recommendations based on this data. These AI-powered solutions can also give a brand keen insight on where employees or customers are getting stuck, enabling teams to streamline workflows and drive better business outcomes.
AI is rapidly evolving, so businesses that aren't yet exploring machine learning in ecommerce must keep pace.