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Heylocal

Heylocal provides an AI‑driven revenue optimization engine that integrates directly with a hotel’s property management system without custom APIs.

Rio de JaneiroFounded 2025550+ followers
Updated 2 months ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Hotels often miss revenue opportunities because upsell and ancillary offers require manual identification, timing, and execution across multiple guest touchpoints, which is labor‑intensive and prone to inconsistency.

Solution

Heylocal delivers an AI‑driven revenue optimization engine that operates directly within a hotel's property management system (PMS) without the need for custom APIs. The platform continuously reads and writes guest data, generating personalized upsell offers—such as room upgrades, breakfast, or late check‑out—at the reservation, pre‑stay, check‑in, stay, and post‑stay stages. Each recommendation is tailored to the guest’s profile, language, and preferred communication channel, and is delivered automatically to maximize acceptance. The AI model learns from every interaction, refining its suggestions over time to increase RevPAR while allowing hotels to maintain current staffing levels. Results are presented in a dashboard that tracks daily decisions, revenue impact, and performance trends.

Target Audience

Primary customers are revenue managers and front‑desk teams at mid‑scale to upscale hotels seeking to increase ancillary sales without expanding staff.

Features

  • Seamless, API‑free integration that reads from and writes to any PMS via AI agents
  • Real‑time, guest‑specific offer generation for every stage of the stay journey
  • Multilingual, channel‑aware messaging (e.g., SMS, email, in‑app) to boost conversion
  • Continuous machine‑learning loop that improves recommendation accuracy with each stay
  • Dashboard displaying daily decision volume, revenue uplift, and RevPAR impact
  • Automated execution of accepted offers, eliminating manual upsell processes
This profile is AI-generated and may contain inaccuracies.