Dataiku
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Case Study: PriceMoov achieves 10x more pricing models and faster deployments with Dataiku
A Dataiku Case Study
How Pricemoov Uses Dataiku's Platform to Generate Smart Prices for Offline and Online Businesses
PriceMoov, a Plug and Play yield management provider serving car rentals, airlines and event organizers, struggled to deliver timely pricing recommendations because customer data from legacy systems (Oracle, MySQL, old SI) was dirty and required lengthy, custom PHP ETL and manual pipeline work. The heavy data-prep and bespoke replication meant deployments and proofs-of-concept took weeks and left pricing suggestions stale.
PriceMoov implemented Dataiku (Dataiku Data Science Studio, DSS) to create reproducible, visual workflows that speed up data cleaning, enable non-technical staff to contribute, and replicate POCs quickly. With Dataiku they cut model production time by about two weeks, produced roughly 10× more scenarios/models, improved staff productivity (faster prototyping in Jupyter) and gave sales teams richer, localizable pricing options — materially accelerating PriceMoov’s ability to scale.
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