Our new SmartSuggest 2.5

We are very proud to officially announce the release of SmartSuggest 2.5. Our Auto-suggestions always created significant impact by modeling intent, preventing search failures, and guiding users toward high-value discovery.

With this release we push the boundary one step further on our path from Autocomplete to Intent Modeling:

Traditional keyword based product suggestions ignore evolving intent and fail on ambiguous queries. SmartSuggest combines intent similarity with behavioral signals, continuously improving product suggestion relevance.

For broad intent, SmartSuggest recommends relevant categories or contextual scopes before search execution preventing unfocused result pages and bounce.

Intent often starts before typing. SmartSuggest now delivers pre-suggestions based on the current or last recent user context (e.g., category page, campaign entry, viewed product), with safe fallbacks when context is limited or unknown.

SmartSuggest transforms auto-suggestions into an intent-driven conversion engine, combining real-time learning, guided discovery, and merchandising control to reduce search failure and accelerate purchase decisions, effectively turning the suggestion bar into the most efficient shopping assistant in the store.