Semantic Understanding
Traditional ERP search is literal: it matches strings against field contents. If you search for "delayed shipment from Müller," a conventional system needs an exact match on those words in the right fields.
Slyy Search combines full-text search with semantic capabilities powered by large language models. It understands intent, not just keywords. Searching for "overdue deliveries last quarter" returns the right results even if no record contains that exact phrase — because Slyy Search interprets what you mean, maps it to the relevant data relationships, and retrieves accordingly.
This means new employees find information as effectively as veterans who've memorised your data structures. The search bar becomes the universal entry point to company knowledge.
Geographic Intelligence
Slyy Search integrates GIS data natively, currently covering the full German geographic dataset. This enables location-aware queries and applications directly within your enterprise search — from finding the nearest service technician to a reported issue, to visualising customer density by region, to routing logistics based on real geographic proximity rather than postal code approximations.
For field service organisations, logistics operations, and any business where geography intersects with ERP data, this turns Slyy Search from a search tool into a spatial decision layer.
Speed That Changes Behaviour
Results appear in milliseconds. This isn't a performance footnote — it fundamentally changes how people interact with company data. When search is instant, employees stop bookmarking workarounds and maintaining personal spreadsheets. They search instead of asking colleagues. They verify instead of assuming.
Fast search doesn't just save time on individual queries. It shifts the entire organisation toward a culture where information is accessed, not hoarded.