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Spider: Building the Hotel Business Intelligence Platform Ranked #1 of 74

Spider: Building the Hotel Business Intelligence Platform Ranked #1 of 74 — case study hero (desktop) Spider: Building the Hotel Business Intelligence Platform Ranked #1 of 74 — case study hero (mobile)

Spider: Building the Hotel Business Intelligence Platform Ranked #1 of 74

How Razoyo rebuilt a hotel consultancy's reporting tool into Spider, the BI platform ranked #1 of 74 at the 2025 HotelTechAwards. 10,000+ daily users.

Razoyo is the engineering team behind Spider, the market intelligence and revenue management platform now part of Lighthouse. We took it from an internal tool that emailed reports to hotel revenue managers into a self-service platform used by more than 10,000 people a day, and we are still its engineering team.

At a Glance

What we built Spider, a self-service business intelligence and revenue management platform for hotels
Starting point An internal consultancy tool, delivered to revenue managers by email
Daily users From a few dozen to over 10,000
Data refresh From re-indexing terabytes in up to 24 hours to continuous updates
Hosting cost Down about 90%
Recognition #1 of 74 for Business Intelligence at the 2025 HotelTechAwards, HT Score 100/100, 4.7 of 5 from 588 verified reviews
Today Razoyo is still the engineering team behind Spider

What Spider Actually Does

This is the part most agency case studies leave out, and it is the part a hotel buyer is actually checking. Every capability below was built by Razoyo’s team, went live in production, and is still in the codebase.

Reservation Data From the Systems Hotels Already Run

Spider pulls reservation level data, history and forecasts from Oracle OPERA and OPERA Cloud, Infor HMS, Agilysys, Cloudbeds, Stayntouch, SkyTouch, Springer-Miller, Visual Matrix and Comanche, from the Sabre SynXis CRS, from Hilton and Marriott brand systems including PEP, Reservations Hub, MRDW, FOSSE and Lightspeed, and from Duetto and Marriott OneYield revenue management forecasts. Hotels on a system not on that list load reservations and history through a generic CSV template. For hotels on SkyTouch, Spider also publishes approved rates back to the PMS.

Booking Pace and Pickup

Spider takes a snapshot of every hotel’s on the books position each day, so revenue managers can see booking pace against same time last year and pickup over one day, seven days or any window they choose, by hotel and by month.

Occupancy, ADR and RevPAR

Spider’s dashboards and daily emails report occupancy, ADR and RevPAR by day, by month and across the portfolio, broken down by market segment.

Rate Shopping and STR Benchmarking

Spider shows each hotel’s rates alongside its comp set’s rates on Brand.com, Booking.com and Expedia, day by day, using rate shop data from OTA Insight (now Lighthouse). It reports each hotel’s STR results against its comp set, with MPI, ARI and RGI indexes by week and over a rolling 28 days, and exports them to Excel.

Demand Forecasting and Rate Recommendations

Every day Spider builds its own rooms and revenue forecast for each hotel and recommends a best available rate for each of the next 365 nights, using booking pace, seasonality, day of week, measured price sensitivity and the hotel’s shopped competitor rates. Revenue managers review the recommended rate by room type and, for hotels on SkyTouch, publish it to the PMS from the day by day dashboard. A person reviews and publishes every rate. Spider never changes a rate on its own. Spider also imports the hotel’s own RMS forecast from Duetto, OneYield and others and shows it next to its own.

Multi-Property Portfolio Dashboards

Spider’s portfolio snapshot and executive dashboard roll up every property a user can see, filterable by brand, ownership group, class and region, and a daily portfolio email summarizes the whole portfolio every morning.

Budget Versus Actual

Spider compares on the books and actual results with budget for occupancy, ADR and revenue, shows how much more business is needed to reach budget, and reports month to date and year to date revenue against budget in a corporate revenue flash.

Role-Based Access and Multi-Tenancy

Users are assigned roles on specific hotels or portfolios, so each management company’s team sees only its own properties while every company runs on one shared platform. Roles carry named permissions and apply at hotel, portfolio or system level, with a master administrator above them.

Forecast History

Spider keeps a daily history of every forecast and rate recommendation it produces, so you can see what it recommended for any stay date as of any earlier day.

What Hotel Buyers Ask, and What Spider Does

What a hotel buyer asks What Spider does
Does it read the PMS we already run? It pulls reservation level data from Oracle OPERA and OPERA Cloud, Infor HMS, Agilysys, Cloudbeds, Stayntouch, SkyTouch and others, plus Sabre SynXis and Hilton and Marriott brand systems
Is the data fresh enough to price against the market? Terabytes of market data moved from a daily re-index that could take up to 24 hours to continuous updates, so a rate decision is made on today's market
Can revenue managers see pace and pickup? A daily on the books snapshot per hotel, with pace against same time last year and pickup over any window
Does it benchmark us against our comp set? Comp set rates on Brand.com, Booking.com and Expedia day by day using rate shop data from OTA Insight, plus STR results with MPI, ARI and RGI
Will it tell us what to charge? It recommends a best available rate for each of the next 365 nights. A person reviews and publishes every rate
Can it cover a portfolio, not one hotel? Portfolio snapshot and executive dashboards filterable by brand, ownership group, class and region, plus a daily portfolio email
Can several management companies run on it at once? Role based access at hotel, portfolio or system level, on one shared multi-tenant platform
Does it hold up with thousands of users? Over 10,000 daily users, including concurrent sessions, under heavy computational load

The Problem: Revenue Decisions Made on Yesterday’s Market

Kriya RevGen began during the pandemic by delivering business intelligence to hotel revenue managers, mostly by email, from internal tools. As more properties were onboarded, the tool became a product opportunity, and it hit four limits at once.

  • Scale. More users, and data from multiple hotels and chains.
  • Speed. Terabytes of data a day, with re-indexing that took up to 24 hours. Room rates move faster than that.
  • Cost. High hosting bills left little budget for features.
  • Access. Revenue managers needed to use it directly, not through a consultant.

Earlier development efforts, including offshore teams, had not solved scalability or performance. The system also had to manage continuous data ingestion, heavy database use and concurrent access without slowing down.

What We Did

  • Redesigned the platform. We started from a reformatted version of the existing tool, added features that sped up the consultants’ own workflows, then opened it up for direct use by external revenue managers.
  • Rebuilt the data pipeline. Terabytes re-indexed in a few hours at first, then continuous updates, so market intelligence reaches pricing decisions quickly.
  • Scaled it to more than 10,000 daily users, including concurrent sessions, without losing performance.
  • Cut hosting costs by about 90%, which freed budget for further platform work.
  • Worked to Kriya’s performance targets. Their team pushed us hard on benchmarks and alignment, and the platform is better for it.

Results

  • #1 of 74 for Business Intelligence at the 2025 HotelTechAwards, voted by hoteliers, with a perfect HT Score of 100/100 and a 4.7 out of 5 rating from 588 verified reviews at the time of the award. It was the fifth consecutive win in the category.
  • From a few dozen daily users to more than 10,000, and from daily batches to continuous updates.
  • About 90% lower hosting costs, redirected into the platform.
  • A company that grew around it. Within months of the rebuild launching, Kriya was acquired by Lighthouse. Lighthouse then closed a $370 million Series C led by KKR, announced November 2024, and acquired The Hotels Network in April 2025.

Building a Hotel Business Intelligence or Revenue Management Platform?

Start with a free 30 minute consultation with a senior engineer, then a fixed price $2,500 System Spec if it is worth scoping. You keep the product brief and the estimate either way.

Spider was a rebuild of a system that had hit its ceiling, not a rescue. Where a system is actively failing rather than running out of room, that is a different job: software rescue.

Frequently Asked Questions

Which property management systems does Spider read?
Spider pulls reservation level data, history and forecasts from Oracle OPERA and OPERA Cloud, Infor HMS, Agilysys, Cloudbeds, Stayntouch, SkyTouch, Springer-Miller, Visual Matrix and Comanche, from the Sabre SynXis CRS, and from Hilton and Marriott brand systems including PEP, Reservations Hub, MRDW, FOSSE and Lightspeed. Hotels on a system not on that list load reservations and history through a generic CSV template.

Does Spider set rates automatically?
No. Spider recommends a best available rate for each of the next 365 nights, and a revenue manager reviews it. For hotels on SkyTouch, an approved rate can be published back to the PMS from the dashboard. Spider never changes a rate on its own.

Does Spider shop rates itself?
No. Spider uses rate shop data from OTA Insight, now Lighthouse, and shows each hotel’s rates alongside its comp set’s rates on Brand.com, Booking.com and Expedia, day by day.

Which metrics does it report?
Occupancy, ADR and RevPAR by day, by month and across the portfolio, broken down by market segment, plus booking pace, pickup, budget versus actual, and STR comp set results with MPI, ARI and RGI indexes.

How many people use it?
More than 10,000 a day, up from a few dozen on the first version.

Can several hotel management companies use the same platform?
Yes. Users are assigned roles on specific hotels or portfolios, so each company’s team sees only its own properties while every company runs on one shared platform.

Can Razoyo take over a hotel platform another team started?
Yes. That was close to the starting position here. Earlier efforts, including offshore teams, had fallen short on scale and performance. We first work out whether to extend or replace what exists. On this engagement the answer was a redesign.

How much does it cost to find out what a platform like this would take?
A free 30 minute consultation, then a fixed price $2,500 System Spec that produces a product brief, a senior engineer estimate and a build or do not build recommendation you own.

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