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    Home»Machine Learning»A Data-Driven Dynamic Pricing Strategy in Hospitality | by Bohsun Chen | Feb, 2025
    Machine Learning

    A Data-Driven Dynamic Pricing Strategy in Hospitality | by Bohsun Chen | Feb, 2025

    Team_AIBS NewsBy Team_AIBS NewsFebruary 28, 2025No Comments1 Min Read
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    Bohsun Chen

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    Follow

    4 min learn

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    Simply now

    —

    Photograph by Alvan Nee on Unsplash

    This undertaking will reveal an data-driven strategy to growing a dynamic pricing technique in hospitality trade. It’s structured as a case research, permitting you to think about every step with your individual enterprise.

    By way of a structured case research, I reveal how enterprise can transition from guide, broad seasonal pricing to an automatic, data-driven pricing technique that ensures optimum pricing selections on the proper time, for the correct buyer.

    · Project Overview
    ∘ Problem Statement
    ∘ Objectives
    ∘ Data Collection & Preprocessing
    ∘ Data Cleaning
    ∘ Data Preprocessing
    ∘ Feature Engineering
    ∘ Modeling
    ∘ Rule-Based Pricing Adjustments
    ∘ Implementation & A/B testing
    · Key Takeaways

    Drawback Assertion

    • Static pricing mannequin: costs had been manually adjusted based mostly on broad seasonality relatively than real-time demand and competitor costs.
    • Income leakage: excessive occupancy charges throughout peak intervals with out maximizing income (underpricing)…



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