OTA ranking optimization and revenue management for independent hotels
Otamiser builds ranking and revenue-optimization tools for hotels across major OTA platforms. The tech stack—Python, React, Node.js, SQL—supports both a proprietary ranking algorithm (Booster) and a newer AI-driven Airbnb optimization tool (AutoRank). Active projects span algorithm development, revenue strategy, and infrastructure hardening (CI/CD), while pain points cluster around adoption and churn, suggesting the core challenge is converting initial interest into sustained customer value rather than technical capability.
Otamiser helps independent hotels and property managers optimize visibility and revenue across OTA platforms including Booking.com, Airbnb, and Expedia. The company operates two main products: Booster, a proprietary ranking algorithm paired with revenue management services, and AutoRank, an AI-driven tool for Airbnb listing optimization. The organization is based in Ghent, Belgium, with 11–50 employees and an engineering-focused hiring mix. Recent projects indicate maturation of core infrastructure and accounting systems alongside continued algorithm development.
Python, SQL, R, React, Node.js, and TypeScript. They also integrate Stripe for payments, HubSpot for CRM, and Exact Online for accounting.
Ghent, Flemish Region, Belgium. All current hiring is based in Belgium.
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