Demand and rate forecasting
Estimate demand and price ranges with visible uncertainty, fresh-source checks and operator review.
Travel technology · hotel booking
GOeureka
A mobile and web platform connecting travelers, hotels and booking inventory through scalable search and direct property workflows.
Hotel booking ecosystem
Discuss a travel platformAI Development opportunities
Make complex travel inventory easier to understand and operate
A current AI layer could help travel teams interpret rates, inventory and support signals faster while keeping booking changes, ranking decisions and guest communication reviewable.
Hotel content enrichment
Normalize room, facility and policy data while routing ambiguous changes to property teams.
Travel support copilot
Retrieve approved booking context and draft multilingual answers without making irreversible changes.
Search quality monitoring
Detect stale inventory, unusual ranking shifts and integration failures for accountable investigation.
Travel AI guardrail
Implementation would require guest-data minimization, explainable ranking and pricing signals, bias testing, supplier-data provenance, human approval for booking changes, evaluation, monitoring and auditable incident handling.
Explore AI Development →01
Project context
A direct-booking alternative for hotels and travelers
GOeureka gives hotels a more transparent route to consumers while reducing dependence on traditional online travel intermediaries.
The envisioned ecosystem combined accommodation discovery, direct hotel inventory management, booking, payments and rewards across web and mobile products.
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Problem to be solved
Reduce slow searches across multiple inventory sources
- Aggregate hotel data and availability from four source systems.
- Support a source-stated target of 500 requests per second for B2B users and the B2C portal.
- Replace worst-case source response times reported at up to 70 seconds.
- Add hotel inventory management and direct property integration.
The platform was engineered around demanding performance targets for hotel search and pricing.
03
Workflow and architecture
Separate durable hotel content from live availability
The architecture divided supplier data into relatively static hotel content and dynamic room availability or pricing requests.
The platform combined a database of 400,000 hotels, forecast-assisted room pricing and a microservice architecture designed for an audience of two to three million users.
Normalize
Prepare hotel, room, facility and media data outside peak demand.
Forecast
Estimate price ranges from current and past pricing signals.
Confirm
Clarify live availability and the actual rate during booking.
04
Platform solution
Search, booking and hotel operations in one ecosystem
Scalable search architecture
The source describes microservices and forecast-assisted data processing for hotel search.
Account synchronization
Hotel and customer accounts across web and mobile experiences.
Hotel API access
Inventory and reservation integration with API-key management.
Identity and booking data
Centralized storage for personal information, booking details and hotel data.
Hotel pricing dashboard
Mobile-friendly controls for price lists, inventory and occupancy.
Payments and rewards
Fiat, cryptocurrency and token payment and reward flows.
Rebooking workflow
A rate-drop workflow for lower-price rebooking.
Maps and reviews
Location discovery and hotel-performance or customer-review signals.
Project outcome
A broader booking experience for travelers and hotels
Request time decreased from 70 seconds to 4.6 seconds with 95% data accuracy. The project launched mainly in Central and Southeast Asia.
The roadmap included worldwide expansion plus airline and car-rental services. The business model used a 5% transaction fee, excluding token payments.
Technology
Web, mobile, search and distributed services
The technology stack combined the following application, data, cloud and blockchain technologies.
Node.js
MongoDB
Elasticsearch
Redis
AWS
React
React Native
Ethereum
Solidity
Team composition
A ten-person delivery team
The PDF lists backend and frontend specialists, a software architect, project manager, UI/UX designer and QA engineer.
Ten specialists covered product, design, engineering, quality assurance and delivery management.
10Delivery specialists
Building travel technology?
Connect inventory, booking and responsible AI.
We can help shape the search, integration and operating workflows behind a clear travel experience.
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