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Looking for a more specific outcome? We’ll build a solution to get you there.
Looking for a more specific outcome? We’ll build a solution to get you there.
Come see Arvyn. Real-time catalog intelligence built for retailers who can’t afford stale product data.
VP of Customer Success| Enterprise Growth
Strategic Advisor- Retail, Merchandising & CX
Is where retail innovators gather to talk about what’s actually changing in the industry. A dedicated B2B Exchange track brings together leaders in B2B commerce and wholesale channels to explore where retail and consumer brands are headed next.
We’re bringing Arvyn, our real-time catalog intelligence platform built for high-volume retailers, replacing slow, batch-driven workflows with live, always-accurate catalog data.
Catalog changes stream in continuously through change data capture (CDC) and land in a single read layer that serves browse, faceting, and preview directly. At enterprise scale, with millions of SKUs and constant price and inventory movement, that means listing pages reflect the catalog as it is right now, without waiting on a nightly rebuild.
An index stores records; it can't compute across them. Arvyn is a columnar aggregation layer, fed by CDC, that calculates rollups such as percentage-on-sale in a category or live facet counts across millions of rows, at the moment a shopper requests them.
Any signal at SKU level, from cost in the ERP to ratings from reviews to lead time from suppliers, ingests through the same CDC pipeline and becomes usable for ranking, filtering, and validation right away. Each attribute registers a rollup rule (sum, weighted average, or derived) so SKU-level data always aggregates to the product correctly.
Rank a page toward margin, sell-through, velocity, or a weighted blend of these, with guardrails that stop results like an out-of-stock item ranking first. Every product carries a visible score showing why it ranks where it does, so merchandisers can explain the order to anyone who asks.
Merchant-configurable rules scan the full catalog and flag exactly which products fail, whether that's a missing price, a thin description, or a placeholder image, down to individual swatches and options. Problems surface before launch, while they're still cheap to fix.
For configurable and made-to-order catalogs, every combination of size, finish, or material is its own SKU with its own lead time, so there's no fixed date to look up. Arvyn calculates the delivery window live as a shopper filters or changes an option, and rolls that up across thousands of SKUs into a real-time delivery facet on category pages.
Merchandisers preview from the same read layer that serves the storefront, so there's no separate staging environment to keep in sync. What they see before publishing is what the customer sees after, removing a whole category of launch-day surprises.
Arvyn sits above the existing commerce platform and content system, whether that's Oracle BCC or any modern CMS, rather than replacing it. It's an additive layer, which keeps the deployment scoped and the rollout fast.
An AI agent reasoning over stale or fragmented catalog data will recommend an item that's out of stock or quote yesterday's price, and the more confident the agent sounds, the worse that failure feels to the customer. Arvyn gives agents and the storefront the same live, unified read layer, so what an agent recommends matches what's actually available.
Have a commerce challenge, idea, or opportunity you’d like to discuss? Meet the RBMSoft team at Shoptalk for a focused one-on-one conversation about your business goals and how technology can help you move forward.
Vision. Expertise. Results.
Our team guarantees exceptional results.
We've streamlined processes to maximize efficiency.
We are the trusted choice for repeat clients worldwide.
