Introducing the Alumio Route Builder
Now connect, orchestrate, and govern integrations at scale from one visual interface
Product, price and availability data from SAP is flattened into Algolia records, so site search returns results that are current, priced correctly and actually available to buy right now.
Search is where a catalog's data quality becomes visible to customers. SAP holds product data relationally, spread across material master, pricing and stock, while Algolia needs one flat record per item with every facet resolved. Rebuilding that index by nightly export means search shows discontinued items, out-of-date prices and products that sold out hours ago. A SAP to Algolia integration through Alumio prepares the record properly: attributes are flattened, facets resolved, and only changed items pushed. Search stops being the least accurate surface on the site.
DATA THAT FLOWS BETWEEN THEM
Material records
Searchable attributes
Facet values
Pricing
Availability flags
Category paths
Index updates
Availability from SAP is carried into the Algolia record, so out-of-stock products can be down-ranked or hidden instead of sitting at the top of results frustrating buyers.
Pricing is resolved before indexing, so the figure in a search result matches the product page and the basket rather than a value captured at the last full rebuild.
SAP attributes are flattened into consistent facet values, so filters narrow results reliably instead of dividing the catalog along fields that were populated inconsistently.
Only changed records are pushed to Algolia, which keeps the index current through the day without the cost and the delay of rebuilding the whole thing every night.
When a material, price or stock position changes in SAP, Alumio updates just the affected Algolia records, so search reflects the change within minutes rather than after a nightly rebuild customers already shopped around.
Alumio flattens and normalises SAP attribute values into the facet structure Algolia expects, so filters like material or compliance rating group correctly instead of fragmenting into near-duplicate values nobody can use.
Availability flags derived from SAP are written into the Algolia record, so unavailable products can be suppressed or ranked down by search rules rather than being surfaced and then disappointing the customer at checkout.
Alumio sits between sales channels and fulfillment systems as a governed integration backbone. Orders are routed, transformed, and validated, while status updates return to every channel.
Authenticate your systems using Alumio's pre-built connectors. Choose from 200+ connector packages in the marketplace, plus unlimited custom integrations.
Define how data fields map between systems in a visual interface. Adjust formats, enrich records, and apply business logic, no custom code required.
Configure flows to run in real time on events, on a schedule, or both. Reduce manual data entry and let Alumio handle movement and transformation between systems.
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Once your first integration is live, adding your ERP, PIM, WMS, or CRM connects to the same hub. Existing flows keep running. No rebuilding from scratch.
More can be connected, and a PIM is the usual addition, because SAP holds commercial attributes while search relevance depends on marketing language, synonyms and imagery that belong elsewhere. Alumio composes the Algolia record from both, so one index carries commercial accuracy and descriptive richness instead of forcing a choice between them.
Yes. Alumio reads material, pricing and stock data from SAP, assembles the flat record Algolia expects, and pushes updates as changes occur. Because it tracks what changed, updates are incremental rather than full rebuilds, which keeps indexing cost proportionate and means a price correction reaches search without waiting for the next overnight job.
Flattening, facet mapping and index routing are configured in Alumio rather than developed, which replaces the export scripts most search implementations end up maintaining. SAP attribute structures differ by business and are rarely clean, so where a value needs deriving or normalising before it can serve as a facet, the Code Transformer takes custom logic for that field alone.
As an incremental update triggered by the change itself. Alumio detects the SAP pricing change, resolves the price that should be shown, updates only the affected Algolia records, and leaves the rest of the index untouched. The result is that search, product page and basket agree, which is usually where the trust problem in site search actually originates rather than in relevance tuning.
The index keeps its last good record rather than losing the product from search. Alumio monitors the flow in real time, logs each message with the record it carried, and alerts you immediately when Algolia refuses one, showing the object and the error returned. Automatic retries cover transient faults, and unresolved updates stay flagged in the queue instead of leaving search silently stale.
Talk to an Alumio integration specialist. We'll map the right architecture for your systems, at the right scale, so your operations stay reliable through every change.
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