- Santriya Technologies is seeking an AI Booking & Revenue Optimisation Executive to optimize booking availability, pricing and promotional decisions using AI-supported demand and revenue analytics while respecting approved rate, inventory and customer-protection rules.

- Product & documentation operating model: You will be assigned one or more company products, client solutions or operational services.

- The approved product documentation, SOPs, policies, process maps, knowledge articles, release notes, controls, scripts and AI runbooks are the source of truth.

- Use only approved enterprise AI tools to retrieve, summarize, draft, classify, prioritize or automate work.

- Validate material AI outputs against current documentation and authoritative system data, record exceptions, and escalate conflicts or missing guidance.

- Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

Key Responsibilities:

- Monitor demand, booking pace, cancellations, availability, channel mix and competitor/market signals.

- Use AI forecasts and recommendation engines to identify pricing or inventory opportunities, reviewing rationale and constraints before action.

- Manage rate plans, restrictions, offers and inventory according to delegated authority.

- Coordinate with property/partner, marketing, finance and customer operations on events and changes.

- Analyze forecast error,



displacement, conversion and revenue outcomes.

- Protect rate integrity and avoid discriminatory or non-compliant use of customer data.

- Document overrides and material pricing decisions.

- Support experiments with explicit guardrails and success measures.

- AI-enabled ways of working:

- Use approved GenAI copilots, enterprise search/RAG, analytics and workflow agents to reduce repetitive work and improve decision preparation.

- Keep prompts, outputs and automated actions within approved data-access, confidentiality and retention rules.

- Correct inaccurate summaries, classifications or recommendations before they become customer, operational or system records.

- Feed recurring AI errors, knowledge gaps and process friction into product, documentation and control improvement.

- Human accountability: AI is a copilot, not the accountable decision-maker.

- The role holder remains responsible for judgement, quality, privacy, security and appropriate escalation.

- Credit, fraud blocking, legal/regulatory, financial advice, safety-critical, clinical, employment and other high-impact decisions must follow delegated authority and required human review.

- Success Measures:

- Revenue/yield and conversion improve
- Forecast and pricing decisions are explainable

- Rate/inventory errors reduce
- Customer and partner rules remain compliant

📌 AI Booking & Revenue Optimisation Executive (Chennai)
🏢 Santriya Technologies
📍 Chennai