Smarter store search: Greeklish, synonyms and live availability

Good search leads visitors to real products that meet their needs. We begin with failed queries and appropriate rules before introducing AI.

Collect aggregated searches with no results, common corrections and categories that confuse visitors. Distinguish an exact model code from a descriptive need. The former requires strict matching; the latter may benefit from synonyms or semantic search. Applying equal typo tolerance to every field can be harmful, because a small code change may identify a different spare part. A reviewed query set becomes the baseline for comparing search configurations.

Define handling for accents, letter case, common transliterations and industry vocabulary. Different accessory terms may point to the same category when they are genuinely synonymous. Rules remain inspectable and should not confuse brands. Typo tolerance is a search-engine setting and does not necessarily require generative AI. Transliteration rules should be tested against real catalogue terms, especially where Greek and Latin characters appear together in product names.

The index needs updates for new codes, availability, prices and visibility permissions. A B2B customer must not see a price they cannot access. Size, material and compatibility filters rely on normalized attributes. Even when candidate products are selected semantically, final results pass commercial constraints and lead to actual product pages. Changes in availability need an agreed update window and monitoring rather than an unsupported claim of instantaneous consistency.

Semantic retrieval can connect a described need with relevant attributes. It must not invent products or present unverified recommendations as facts. A conversational assistant should ground answers in available records and link to actual products. If no appropriate item exists, offer a clear next action such as changing filters or contacting the team. Retrieval and commercial filtering remain separate responsibilities; fluent wording cannot compensate for an incorrect catalogue match.

Create a test set containing genuine Greek phrases, Greeklish, misspellings and product codes. Track searches without results, product selections and filter use under appropriate privacy rules. Test delayed indexing and external-service failures. Assess success per category: more clicks are insufficient if visitors reach irrelevant items. Review failed searches periodically, refine the rules and retain a dependable fallback when an advanced retrieval service is unavailable.