Goolluck Consulting LLP
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Case Study|BOOKING INTELLIGENCE & TELEMETRY

Friction Flow

Hospitality Revenue & Booking Telemetry Engine

Enterprise revenue diagnostics engine detecting checkout friction across multi-property reservation feeds with LLM-driven anomaly detection and live telemetry.

CLIENTFrictionFlow
INDUSTRYHospitality & Revenue Diagnostics
DELIVERABLEHOSPITALITY ANALYTICS & REVENUE WORKSPACE
YEAR2026
THE STARTING POINT

Project Vision

Hospitality chains and booking managers struggled to unify fragmented PMS bookings, front-desk operations, and checkout drop-offs across dozens of property locations in real time.

THE CHALLENGE

Technical Friction

High traffic volume during seasonal campaigns led to checkout latency, untracked inventory synchronization race conditions, and lack of visibility into guest drop-off funnels.

THE SOLUTION

Real-Time Hospitality Telemetry & Checkout Flow Optimization

Goolluck Consulting LLP engineered a unified analytics workspace that aggregates multi-property reservation feeds, detects booking drop-offs in real time, and automates guest communications.

Consolidated real-time reservation

feeds across 50+ property locations into a single pane of glass

AI

Eliminated booking sync

latency with event-driven Redis pub/sub pipelines

Optimized direct booking

checkout flow, reducing reservation abandonment by 38%

MEASURED RESULTS
BOOKING REVENUE
-38% Drop-off

A smoother checkout experience directly reduced abandoned bookings across hotel websites.

NETWORK SCALE
50+ Locations

Consolidates reservations across dozens of properties into one real-time dashboard.

RESERVATION SYNC
Real-Time Availability

Room inventory updates instantly to eliminate double bookings and pricing delays.

PRODUCTION ECOSYSTEM
N
Next.js 15
TS
TypeScript
Node.jsPostgreSQL
RD
Redis
Tailwind CSSAWSDocker
N
Next.js 15
TS
TypeScript
Node.jsPostgreSQL
RD
Redis
Tailwind CSSAWSDocker
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