Guesty: Property management platform delivers a game changing recommendation system
In the rapidly evolving landscape of property management technology, optimizing data processes remains paramount. Guesty, a leading player in this domain, faced challenges in streamlining its data science operations and hastening model deployment. This case study delves into Guesty's unique challenges and highlights how a strategic partnership with Qwak provided innovative solutions.
Guesty is an end-to-end platform for property managers and management companies, offering cloud-based tools to simplify operational tasks such as tracking guest check-ins and property revenue, addressing the complex needs of short-term and vacation rentals.
Industry
Property Management, Real Estate, Software / Technology
Use Case
Model Frameworks
Before Qwak we had no standard methodology for productionizing ML models. There was no alignment between the data science and engineering teams and we spent weeks analyzing code and solving errors. Basically, it was a huge mess
Time To Production
Engineering Dependency
Model Uptime
Challenges
- Establishing synergy between data science teams to hasten model deployment timelines.
- Each model deployment mandated participation from both data engineering and DevOps teams, significantly protracting the delivery timeframe.
- The lack of a centralized data science management system led to team misalignment.
- Guesty's Data Science teams were disproportionately engaged in engineering chores, diverting their focus from core research and model creation.
Solutions
- Establishing synergy between data science teams to hasten model deployment timelines.
- Each model deployment mandated participation from both data engineering and DevOps teams, significantly protracting the delivery timeframe.
- The lack of a centralized data science management system led to team misalignment.
- Guesty's Data Science teams were disproportionately engaged in engineering chores, diverting their focus from core research and model creation.
