Pricing analysis · Patented technology

Next season is decided today.

An intelligent tool that analyzes historical data, contracts and market trends to identify the most advantageous prices in early sales of tourist services. Helps make more aware decisions, reduce investment risk and predict profit margins.

Travelino AI/♪
Preview

Make better-informed purchasing decisions.

Quantile-based pricing · Planning and risk

Hotel room allotmentsDEMO SCENARIO
Proposed purchase price100 €
Example of pricing interval
96 €Q25
100 €Median
106 €Q75

References to compare purchase, sale and risk. Illustrative values, not a real forecast.

01 / Technology

AI Season Strategy.
Designed for your work.

✳ Patented technology*

A tour operator buys rooms, services and allotment months before selling them. Travelino AI Season Strategy uses historical data, contractual conditions and market information to offer pricing references and help you assess convenience, marginality and economic risk.

Tour Operators and DMCsPurchases and contractsPlanning
A CLEAR EXAMPLE

Before purchasing room allotments,
assess the price and the risk.

A quantitative tool for those who plan tourism services in advance. It uses historical data, contracts and market data to develop quantile-based pricing references and support purchasing and sales decisions.

Travelino AI Season StrategyVISUAL DEMO
PROPOSED PURCHASE100 €
ILLUSTRATIVE REFERENCE98 €
proposed price100 €
Analytical reference98 €
A difference of 2 € per room equals 200 € on 100 rooms, if the price is negotiated and all rooms are purchased. It is not an actual prediction.

HOW IT WORKS, IN 3 STEPS
01

01 · Enter the scenario

For example: 100 rooms, price proposed by supplier 100 €, period and contractual constraints.

02

02 · The model assesses the scenario

Analyzes available data and returns quantitative references, intervals and scenarios.

03

03 · The company decides

The contracting manager uses the analysis to negotiate and assess risk and marginality.

Let’s explore your use case ↗

Other situations in which it can be useful

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Allotment negotiation

Compare the price proposed with the estimated references.

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Resale price

Assess revenue scenarios and theoretical gross margin.

02 / What changes

What changes in everyday work.

Four ways this technology can support everyday work.

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Quantile-based pricing

Quantitative references to read different price scenarios compared to a simple average.

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Support for negotiation

Indications to evaluate whether a purchase proposal is consistent with the available data.

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Vision on purchase and sale

The analysis supports both cost planning and sales price assessment.

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Risk assessment

It helps to reason on economic exposure and margins; decisions remain at the top of the company.

04 / The path

How we bring this technology to your company.

From process analysis to configuration and verification: adoption is designed on the needs and systems actually available.

01

We collect the context

We analyze historical, contracts and market data available.

02

Elaborate references

The model returns pricing scenarios expressed as quantiles.

03

We support choices

The company interprets the scenarios to negotiate and set the sale.

Example / Allotment

100 rooms.
A decision to weigh carefully.

A tour operator receives a purchase proposal at 100 € per room. The system uses the information available to offer quantitative references, even in terms of quantile, useful to compare scenarios and negotiate.

The analysis also covers possible sales prices and margin assumptions, without promising future results.

Learn more about technology
Proposed purchase price 100 €
Hypotheses to compare 98 €
Suggested resale price 130 €
Illustrative figures, not recommendations generated by the model.
05 / Frequently asked questions

The answers before you start.

Each project is assessed in the real context of the enterprise.

Does Season Strategy automatically decide the purchase price?+

No. Provides quantitative indications to support the decision, which remains the responsibility of the enterprise.

Is the suggested price always lower than the agreed price?+

No. The analysis may suggest lower, consistent or higher values than the proposed price depending on the data.

What does quantile-based pricing mean?+

It means using estimated price distribution points to evaluate different prudence scenarios and levels.

Does it eliminate risk completely?+

No. Technology accompanies risk assessment, but does not guarantee sales results, convenience or marginality.

TRAVELINO GROUP S.P.A. · PALERMO

Let's see how it works in your business.

Let's talk about your processes and see how this technology can be configured for tourism.

Let's talk about your project
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