Many online shops lose up to 20% of cus­tomer searches to “zero res­ults“, even when suit­able products exist in their invent­ory. The cul­prit is often a purely lex­ical search sys­tem that fails to under­stand the semantic mean­ing and intent behind cus­tomer quer­ies. This gap between what cus­tom­ers are look­ing for and what they can actu­ally find leads to sig­ni­fic­ant missed rev­enue oppor­tun­it­ies and cus­tomer frustration.


Semantic search powered by lan­guage mod­els bridges this gap and deliv­ers meas­ur­able improve­ments in con­ver­sion rates and cus­tomer satisfaction.


From keywords to under­stand­ing: Tra­di­tional lex­ical search sys­tems rely on exact word match­ing and can­not grasp the mean­ing behind cus­tomer quer­ies. Mod­ern lan­guage mod­els enable semantic search that under­stands intent, syn­onyms, and con­text – dra­mat­ic­ally improv­ing the abil­ity to con­nect cus­tom­ers with the right products.


Fast, Integ­rated, Meas­ur­able: Our data sci­ence expert­ise allows us to enhance exist­ing search infra­struc­ture without com­prom­ising per­form­ance. We imple­ment semantic search cap­ab­il­it­ies with mil­li­second-level latency, seam­lessly enrich­ing your cur­rent sys­tem while deliv­er­ing sig­ni­fic­ant, meas­ur­able increases in con­ver­sion and revenue.