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Tell us what would make DWithEase more useful.
Make a SuggestionWe understand how much your time and productivity matter, which is why DWithEase exists — a browser extension for the everyday work of Salesforce Commerce Cloud, previously known as Demandware.
Explore DWithEaseOne of the original problems behind DWithEase was the rapid expiration of Salesforce Commerce Cloud sessions. Frequent re-authentication interrupted workflows, forced users to repeatedly enter their credentials and made everyday work unnecessarily cumbersome. DWithEase was built to make that experience more continuous by extending sessions and simplifying the re-login process.
Session expired — log in again
Continue where you left off
DWithEase has grown beyond that one problem into a broader set of tools for everyday Salesforce Commerce Cloud work.
Session expiry, and the re-logins it forced.
Navigation shortcuts, sandbox switching, WebDAV access and more.
New needs, and each new Salesforce Commerce Cloud release.
DWithEase has evolved through user feedback — from developers working deep inside the platform to marketers using it to support commerce operations. Those different perspectives surface real workflow problems and guide what gets built next.
Tell us what would make DWithEase more useful.
Make a SuggestionJoin the wider DWithEase and SFCC community.
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DWithEase was created by ForkPoint from hands-on experience working with Salesforce Commerce Cloud — the same platform, the same working days, the same friction the extension removes.
Meet ForkPoint (opens in a new tab)ForkPoint also builds tools that address other challenges across development, operations, product data, discovery and AI commerce.
Improve, enrich and prepare your product data for commerce channels.
An AI-augmented PIM. Product data arrives from URLs, APIs, media files and scrapers, is cleaned, enriched and translated, then published out to the channels you sell on.
Help shoppers find the right products with intelligent search and product discovery.
Search and discovery for the storefront. It indexes the catalog, reads what a shopper means rather than only what they typed, and follows the search with recommendations and campaigns.
Understand how ready your storefront is for AI assistants and agent-driven commerce.
Preparation for agent-driven commerce: whether AI assistants find your brand, describe it correctly, and can complete a purchase on a shopper’s behalf.
Validate storefront functionality with automated e-commerce testing.
Automated testing and round-the-clock monitoring for a storefront: the routine checks run for you rather than by hand, and the store watched while it is live.
Monitor commerce data, critical events and operational issues once your storefront is running.
Supervision and analysis of live commerce data. It pulls the systems you run into one hub, watches for the events that matter, and reports per role.
Two places show where that goes: the changelog for what has already shipped, and the public roadmap for what is being considered next.
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