Search and listings
Tile, filter and product page agree
When a campaign price goes live, customers see it on the listing tile, in the filter and on the product page the moment it changes. Enterspeed writes all three from the same product data, so they cannot drift apart, and Speedtrain, from Enterspeed, turns free-text attributes into values a filter can use.
- A campaign price shows on the product page while the search index is still a day behind.
- A filter promises in stock under 500 kr., and the product page disagrees.
- A new product goes live, but search cannot find it until the index catches up.
- A category stays in the menu in a market where it has no products.
- When one system is down, the recommendations disappear and the page looks broken.
- A price or stock change reaches search, listings and the product page the moment it happens.
- The filter, the tile and the product page read the same product data, so the filter keeps its promise.
- New products are searchable within the hour.
- Empty categories are hidden per market, and category counts come from the same data as the listing.
- Related products are prepared in advance, so a source outage cannot empty the slot.
The price of a city e-bike changes from 14.999,00 kr. to 12.999,00 kr. A customer types e-bike into search, filters for city bikes in stock, opens the listing tile and the product page. Search, filter and tile already show 12.999,00 kr., and the product page shows 12.999,00 kr. with the old price of 14.999,00 kr. crossed out. The customer adds the e-bike to the basket at 12.999,00 kr.
Illustrative example, not customer data.
Your stack
Your search platform keeps its tuning
Your systems keep the jobs they do today. Enterspeed keeps search, listings and product pages in step with them.
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Your source systems
Who owns the facts
The PIM owns titles, descriptions and attributes. The pricing engine decides the price, the stock system holds stock, and the CMS writes campaign and editorial content.
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Your search platform
Ranking and tuning
Algolia, Elastic, Typesense, Clerk.io or Relewise keeps the ranking and tuning it already has. It reads Context Graph, which holds full text and facets on the same data as the product page, instead of a separate export.
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Enterspeed
One set of data, every surface
Reads those systems and writes the same product data to search, listings, recommendations and the product page. It also keeps one category tree with per-market labels and rules for empty categories.
