Abstract

Hospitality businesses face a persistent hir-ing crisis characterised by annual front-line turnover ex-ceeding 70%, wildly swinging seasonal demand, and over-reliance on keyword-matching systems that routinely miss qualified candidates. SmartServe is an AI-powered recruit-ment platform that addresses these challenges through se-mantic understanding and autonomous agent orchestration, automating the complete hiring workflow from job posting to offer letter generation. The system combines semantic embeddings (Google Gemini text-embedding-004, 768 dimensions) with domain-specific scoring rules tailored for hospitality roles. A two-tier model pipeline employs Gemini 2.0 Flash for fast structured extraction and GPT-4o-mini for summarisation, reducing per-profile analysis cost from $0.03 to $0.003 — a 90% reduction — while maintaining output quality. A three-month pilot with 12 Mumbai restaurants demon-strated that the semantic matcher achieves 82.4% Preci-sion@10, more than double the 38% from keyword match-ing. Time-to-hire fell from 12.3 days to 3.2 days (74% improvement), and average applications per filled position dropped from 28.5 to 8.7. Role-based model selection re-duced LLM costs by 45%, and batch processing yielded a further 90% saving on API calls.

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