Step 1
Ingest & Analyze
Continuous ingestion of your search logs, booking data, and seasonality signals builds a real-time picture of demand.
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European headquarters
Oberallmendstrasse 18, 6300 Zug Switzerland
Netherlands
Zaandijkerweg 8, 1521 AX Wormerveer, Netherlands
United Kingdom
10 Midford Place London, W1T 5AG, London, United Kingdom
Israel
Yigal Alon St 98, Tel Aviv, 6789141, Israel
Know What Travelers Will Search Before They Do
Stop losing bookings to supplier API timeouts and slow search results. Our ML solution pre-caches your top 1,000 searches up to 5 minutes ahead — so your platform responds instantly, even during peak season.
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+15–22%search-to-booking conversion uplift
85%+prediction precision on the top 1,000 searches
4-6 weeksfrom signed contract to production MVP
100%cloud-native solution
Every Slow Search Costs You a Booking
During peak travel periods, your supplier APIs buckle under load. Each timeout, each spinner, each second of waiting pushes travelers directly to your competitors.
The largest travel platforms return search results in under 1 second. If your results take 20+ seconds to load, 40–60% of travelers abandon before they ever see a price — and go book somewhere else.
Predict. Pre-cache. Serve Instantly.
Our ML engine analyzes your historical search patterns and real-time signals to predict which routes will spike and pre-warms your cache before demand hits.
How It Works — 4 Steps
Step 2
ML Prediction
Open-source models score your top 1,000 upcoming searches 1–5 minutes ahead, with 85%+ precision on short-horizon predictions.
Step 3
Pre-Warm Cache
Predicted searches are silently pre-fetched from supplier APIs and cached in a cloud in-memory database for fast serving before travelers arrive.
Step 4
Instant Response
Your platform serves cached results in under 200ms even under peak load — no supplier API calls, no wait, no bounce.
85%+ Prediction Precision
Short-horizon ML models (1–5 min) trained on your own search data, deliver industry-leading precision on your top routes and date combinations.
#Core ML Engine
API-First Architecture
A clean, well-documented prediction API that ensures seamless integration with your systems.
#Easy Integration, #API-First
Cloud-Native Deployment
This cloud-native solution deploys seamlessly to any platform using infrastructure-as-code. Run and integrate without additional complexity.
#Cloud, #Infrastructure, #Native
CI/CD Pipelines & Tests Included
#DevOps Ready, #CI/CDProduction-ready CI/CD pipelines and auto-tests are included with the solution out of the box. From feature to environment in one click.
40–60% API Call Reduction
Cached results generate fewer live calls to your supplier APIs during peak windows, reducing rate-limit risk and GDS/NDC transaction costs.
#Cost Savings
Open-Source ML Foundation
No proprietary black boxes. Built on LightGBM, Prophet, and Scikit-learn — fully auditable, customizable, and owned by you.
#Transparency
What You Gain in 120 Days
Based on our delivered MVP, here's what travel platforms using predictive search caching achieve.
+15–22%
Increase in Search-to-Booking Conversion
Pre-cached searches serve in under 200ms — before travelers lose patience and bounce. Faster results directly translate into more bookings from the same traffic volume.
+15–30%
Incremental GMV
Conversion uplift at scale compounds fast. Closing the search speed gap with larger competitors unlocks 15–22% incremental booking revenue from your existing traffic — without additional marketing spend.
4–6 Weeks
Payback Period
From go-live to full cost recovery in under six weeks. With a year-one ROI of 700–1100%, the question isn't whether you can afford to implement this — it's how much you're losing every month without it.
MVP Delivery Timeline
Week 1
Data Pipeline & Infrastructure
Cloud infrastructure provisioned, search log ingestion live, and the baseline model trained on your historical search data.
Week 2
ML Model Training & API
Prediction model tuned for precision targets. REST API deployed and tested. Integration SDK delivered to your engineering team.
Week 3
Cache Pre-Warming Integration
Prediction triggers connected to your existing cache layer. First live predictions validated against real traffic patterns.
Week 4
Integration Testing & Hardening
End-to-end testing complete. Automated pipelines verified. Performance benchmarks confirmed against precision KPIs.
Week 5-6
Production Go-Live & Monitoring
Monitoring & observability are configured and live. Precision, cache hit rate, and latency impact tracked in real-time. Early conversion uplift signals visible.
WHY US
Built for Travel. Proven in Production.
Not a generic ML platform. A solution purpose-built for the specific economics of OTA search performance.
Built and shipped by ML engineers, not consultants. Every decision is made by people who have delivered production ML systems at scale.
See PredictFlow in Action on Your Own Data
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