Confidential proposal · Prepared for Yalago

Supplier Performance & Intelligent Acceleration Program

Helping Yalago improve supplier response times, increase search completion within the 3-second SLA, reduce infrastructure costs and build a future-ready hotel distribution platform.

Peak search volume
500K/min
Internal search
<40ms
Current SLA
3s
Throttled requests
~10%
Executive Summary

Yalago's internal platform already delivers excellent performance.

Internally managed inventory and PUSH suppliers respond in under 40 milliseconds. Based on the information shared, the primary opportunity for further optimisation lies in downstream PULL supplier integrations, where higher response times become the main constraint on end-to-end search performance. When supplier latency exceeds the target 3-second SLA, searches may be completed without all available options, impacting search completeness, increasing infrastructure load, and limiting the platform's ability to consistently deliver the best available inventory.

Platform signals at a glance

Operating metrics shaping the opportunity

280K–500K
Searches per minute

Peak query volume across the distribution platform.

3 s
Search SLA

Hard ceiling after which results are terminated.

~10%
Throttled / rejected

Share of requests lost or downgraded at peak.

Our proposal

Cognirock proposes a Supplier Performance & Intelligent Acceleration Program designed to optimise supplier performance, improve search completion and prepare the platform for future growth.

Phase 101
Assessment & Diagnosis

Analyse the current platform performance to identify the main bottlenecks, evaluate PULL supplier behaviour and define a data-driven optimisation roadmap.

  • Per-supplier performance benchmark
  • Identification of quick wins
  • Latency and response-time analysis
  • Business impact assessment
  • Prioritised improvement roadmap
Phase 202
Proof of Concept (PoC)

Design and implement a Proof of Concept to validate, in a real environment, the improvements identified during the diagnosis and demonstrate their impact before a full rollout.

  • Integration of selected suppliers
  • Validation of the acceleration strategy
  • Before vs. after performance comparison
  • Measurement of results and KPIs
Phase 303
Development & Rollout

Build and deploy the solution validated during the PoC into production, integrating it with Yalago's architecture and ensuring a controlled transition.

  • Development of the solution
  • Deployment to production
  • Integration with the defined suppliers
  • Performance monitoring and validation
Phase 404
Follow-up & Optimisation

For the 6 months following go-live, we run continuous follow-up to measure performance, optimise operation and support Yalago's team through adoption. At the end of the period, Yalago can opt into an ongoing support and evolution service covering maintenance, new features and continuous optimisation.

  • KPI and performance tracking
  • Continuous optimisation of the solution
  • Periodic review meetings
  • Improvement recommendations
  • Optional support and evolutionary maintenance service
Expected outcome

A platform capable of serving more searches within the SLA, reducing supplier API traffic and infrastructure costs, improving resilience, and ultimately increasing booking conversion while supporting Yalago's continued global growth.

Current Architecture

Parallel supplier fan-out — bounded by the slowest path.

Every search fans out to contracted inventory, PUSH and PULL suppliers in parallel. PUSH and contracted responses are fast; PULL suppliers introduce highly variable latency and frequent timeouts.

ClientsB2B · API · WebYalago Search PlatformParallel supplier fan-outinternal < 40 msARIContracted Inventory · < 40 msPUSH Supplierslatencia determinista38 msPULL Supplierslatencia variable · throttling2,840 msTimeout@ 3 s SLASlow PULL suppliers force termination → incomplete results → lost commercial opportunity.
Contracted + PUSH

< 40 ms · deterministic latency · in-house indexes.

PULL suppliers

Variable latency · timeouts · throttling at peak.

Outcome today

Searches terminated at 3 s → incomplete results → lost upside.

The Opportunity

Four leverage points where engineering meets commercial value.

01
Opportunity

Reduce downstream latency

Insulate Yalago from slow PULL suppliers using intelligent acceleration and adaptive freshness — not blunt caching.

More results inside the 3 s SLA.
02
Opportunity

Increase completed searches

Serve frequently requested inventory from an acceleration layer while preserving real-time accuracy.

Higher conversion potential.
03
Opportunity

Reduce supplier traffic

Lower the number of outbound API calls during peaks — directly addressing throttling and rejection rates.

Lower throttling and cost.
04
Opportunity

Improve platform scalability

Decouple search growth from supplier traffic growth and from raw infrastructure scaling.

Headroom for next-stage volume.
Program Roadmap

Four phases — from diagnosis to a continuously optimised platform.

Each phase is independently valuable and builds on the previous one. Below is the expected timeline from kick-off to the end of the follow-up period.

Expected timeline
≈ 12 months end-to-end
013–5 weeks
Weeks 1–5
024–6 weeks
Weeks 6–11
033–4 months
Months 4–6
046 months
Months 7–12
Phase 1

Assessment & Diagnosis

Weeks 1–53–5 weeks

Analyse the current platform performance to identify the main bottlenecks, evaluate PULL supplier behaviour and define a data-driven optimisation roadmap.

  • Per-supplier performance benchmark
  • Identification of quick wins
  • Latency and response-time analysis
  • Business impact assessment
  • Prioritised improvement roadmap
01
Phase 2

Proof of Concept (PoC)

Weeks 6–114–6 weeks

Design and implement a Proof of Concept to validate, in a real environment, the improvements identified during the diagnosis and demonstrate their impact before a full rollout.

  • Integration of selected suppliers
  • Validation of the acceleration strategy
  • Before vs. after performance comparison
  • Measurement of results and KPIs
02
Phase 3

Development & Rollout

Months 4–63–4 months

Build and deploy the solution validated during the PoC into production, integrating it with Yalago's architecture and ensuring a controlled transition.

  • Development of the solution
  • Deployment to production
  • Integration with the defined suppliers
  • Performance monitoring and validation
03
Phase 4

Follow-up & Optimisation

Months 7–126 months

Continuous follow-up during the 6 months after go-live to measure performance, optimise operation and support Yalago's team through adoption. Optional ongoing support and evolution service afterwards.

  • KPI and performance tracking
  • Continuous optimisation of the solution
  • Periodic review meetings
  • Improvement recommendations
  • Optional support and evolutionary maintenance service
04
Intelligent Refresh Strategy

Freshness is adaptive.

Instead of one cache lifetime for everything, refresh decisions are derived continuously from product, market and supplier signals — keeping accuracy high and supplier traffic low.

Lead timePopularitySeasonalityDestination demandSupplier healthCheckRate mismatchesAdaptive Refresh Engineper-product refresh decision30 s2 m10 m1 h6 h
Lead time
Closer arrival → fresher data.
Popularity
Hot products refresh more often.
Seasonality
Peaks tighten refresh windows.
Destination demand
Hot destinations push priority.
Supplier health
Healthier suppliers refresh harder.
CheckRate mismatches
Discrepancies → immediate refresh.
Supplier Intelligence

A live operating picture of every supplier on the distribution graph.

Continuous monitoring of response times, error rates, availability consistency, supplier health and refresh efficiency — feeding the acceleration layer in real time.

Supplier Health Board
last 5 min · auto refresh
SupplierAvg RTHealthHit ratio
Supplier Alpha
38 ms
98
92%
Supplier Bravo
220 ms
86
71%
DMC Cobalt
1,840 ms
64
38%
DMC Sierra
2,640 ms
41
22%
Supplier Quartz
95 ms
94
88%
Specialist Onyx
2,980 ms
32
14%
Avg response time
↓ 64%
Cache hit ratio
78%
Timeout rate
↓ 71%
Refresh efficiency
92%
Business Impact

Engineering outcomes that compound into commercial outcomes.

Supplier performance
Faster searches
More results
Higher conversion
More revenue
Higher
Search completion within SLA
Lower
Supplier API calls during peak
Lower
Infrastructure load on ARI compute
Lower
Throttling and rejection rates
Better
SLA compliance under traffic spikes
Higher
Conversion from richer result sets
Greater
Platform resilience and headroom
Better
Customer experience end-to-end
Why Cognirock

Not a connectivity platform. Not a cache. A partner for supplier performance at scale.

Deep travel expertise

Hotel distribution, connectivity, API optimisation and marketplace technology — built specifically for this industry, not retrofitted from generic infra.

  • Hotel distribution
  • Connectivity protocols
  • API optimisation
  • Marketplace technology

Engineering excellence

We design systems for the constraints that matter at Yalago's scale — latency tails, supplier behaviour and operational headroom.

  • Performance optimisation
  • Supplier orchestration
  • Distributed architecture
  • Scalable infrastructure

Proven technology

Bundleport already operates as a hotel connectivity marketplace — the same foundation powers the supplier intelligence and acceleration layer.

  • Bundleport marketplace
  • Supplier intelligence
  • Acceleration platform
  • Production-grade tooling
Investment

Phased commitment aligned to the program roadmap.

A dedicated team of 3–4 engineers running the full program end-to-end — from diagnosis to production rollout and 6 months of follow-up.

Phase 1
Assessment & Diagnosis
€9,000
3–5 weeks
  • Per-supplier performance benchmark
  • Identification of quick wins
  • Latency and response-time analysis
  • Business impact assessment
  • Prioritised improvement roadmap
Phase 2
Proof of Concept (PoC)
€15,000
4–6 weeks
  • Integration of selected suppliers
  • Validation of the acceleration strategy
  • Before vs. after performance comparison
  • Measurement of results and KPIs
Core build
Phase 3
Development & Rollout
€30,000
3–4 months
  • Development of the solution
  • Deployment to production
  • Integration with the defined suppliers
  • Performance monitoring and validation
Phase 4
Follow-up & Optimisation
€6,000
6 months
  • KPI and performance tracking
  • Continuous optimisation of the solution
  • Periodic review meetings
  • Improvement recommendations
  • Optional evolutionary maintenance service
Total investment across the four phases is €60,000 — final price with a 10% discount already applied, covering a dedicated team of 3–4 people running the program for close to a year.
Billing plan

Payments tied to program milestones

Invoicing is split into three milestones aligned with the delivery of each stage of the program.

30%€18,000
01At project kick-off
40%€24,000
02On completion of Phase 2 (PoC)
20%€12,000
03On completion of Phase 3
10%€6,000
04At the end of Phase 4
Next step

Let's build the next-generation supplier performance platform.

From reducing latency today to creating the most intelligent hotel supplier acceleration layer in the industry.