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.
Learn MorePIM
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.
Blog
Read our blog to get actionable insights for navigating changing markets and industry demands.
Webinars
Watch our on-demand ecommerce webinars to gain expert advice and tips from our community of industry leaders.
Customer Blog
Gain the latest tips, industry trends, and actionable ecommerce insights.
Knowledge Base
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.
DownloadAn online retail forecast is an evaluation — using consumer and sales data — of future sales predictions for the ecommerce retail sector.
In retail, ecommerce businesses often rely on consumer, marketing, and sales data to make informed decisions about their future efforts. An online retail forecast is necessary for this process, as it provides projections of critical elements of future retail trends, including consumer product demand, sales predictions, inventory stock levels, and more.
An online retail forecast requires consistent, accurate data, including past sales performance metrics, website analytics, market analyses, and competitive data.
With this information, brands can adjust their systems to take advantage of upcoming consumer interest and better prepare for financial ups and downs. If a brand uses data to identify that sales on certain products increased by 10% during the past three summer seasons, for example, they can predict that they’ll see the same boost this year. The brand can then stock inventory properly, promote product bundles to drive upsells, and tailor marketing materials to certain products.