Compass makes your storefront guide shoppers instead of just displaying products. Search, filters, comparisons and content adapt to each shopper in real time. And Compass goes beyond recommending: it can build a cart, filter it, or turn a past order into a reorder on the shopper's behalf.
A chat widget only knows the conversation it sits in. Compass is part of the storefront itself, so it knows the catalog, the pricing, the cart, the order history, what this shopper has searched for and browsed, and the page they are on right now. It can act on all of it and change what the storefront shows.
Search understands intent, product lists narrow through conversation, and comparisons summarize what matters for this specific shopper. Guidance happens where shoppers already are, so they stay in the flow.
Compass has transactional capabilities. It can assemble a cart from a conversation, filter and modify large carts in plain language, and turn order history into a reorder. Shoppers state the goal; Compass does the clicking.
Compass orchestrates workflows across your tools and agents, then captures behavior and outcomes in one analytics layer: what shoppers asked, where they got stuck, what converted. No fragmented data and no blind spots.
In search engines and AI assistants, people ask complete questions in plain language and get answers. On an online store, the same person gets keyword matching and a column of filter checkboxes. The way people shop is changing faster than the storefronts they shop in.
The video below shows Compass running on a demo store, from the first search to a finished cart. No storyboard tricks: this is the product.
Type a question into the search box and Compass treats it as the start of a conversation, not a keyword to match.
Inside a product list, Compass narrows the results by asking, so shoppers are not left alone with thirty filters.
On the comparison page, an AI summary highlights the differences that matter for this shopper, and takes follow-up questions.
Shoppers ask about details in plain language instead of scanning spec tables. By voice, if they prefer.
Describe what you are after, and Compass searches in the background, judges its own results, and comes back with suggestions it can explain.
B2B is where storefront friction costs the most: hundred-line carts, specification documents, and reorders that someone translates into a SKU spreadsheet by hand. Compass removes that translation step.
Upload a project specification as a PDF. Compass reads it, researches the matching products, and builds the order. The buyer only reviews it.
Ask questions over a large cart in plain language, and filter or modify it the same way.
Bulk pricing and restocking patterns surface from order history, so a routine restock takes two clicks instead of a spreadsheet session.
Managing what happens after checkout works the same way, consistent across the whole storefront.
Compass is built into every layer of the Alokai platform: the UI components, the integrations running through Connect, and the Unified Data Layer. Implementation is fast, intelligence stays consistent across every experience, and nothing has to be rebuilt.
SAP Composable Storefront (aka Spartacus) ships nothing AI-native out of the box. Compass adds guided selling, adaptive discovery and intelligent reordering on top of your existing SAP setup, with no storefront migration required. SAP merchants get the improvements today and keep every option open for what comes next.
Shopping is shifting from static pages to conversations, and Compass moves your storefront in that direction today: guided discovery, adaptive experiences, and orders that handle themselves. Because it is built into the storefront rather than bolted onto it, each new AI shopping behavior lands on a foundation that is already there.