Case Studies
Business-minded data science examples from some key industries:
HOSPITALITY & TRAVEL |
LOGISTICS |
Room price optimization
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Revenue & conversion prediction
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E-COMMERCE |
MANUFACTURING |
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Predictive analytics for customer churn
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Macroeconomic analysis with predictive analytics
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THEIR CHALLENGE
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Provide an in-depth understanding of the private accommodation market and predictions for the upcoming season, in numbers, split by home and host location.
Answer “How many holiday homes are Germans expected to book abroad?”. Create a demographic and income profile of the German tourist booking private accommodation abroad, per country. |
Build a prediction model and a summary of the largest Merger & Acquisition deals in the Renewable Energy space for Chile & Latin America, split by energy type. Conduct International market research. The audience were investors looking for market insights, analysis and recommendations.
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Present a market study summary of the Mexican E-commerce market: What do Mexicans buy online, insights on behaviour, preferred platforms and payment methods. Trends. Harper's wanted to understand better the consumer behaviour of those Mexicans who buy clothes online.
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OUR SOLUTION
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Kalinax screened over 15 databases and designed a purpose-built machine learning algorithm to provide our client exactly what they needed: an in-depth understanding of their market and expectations for the season, split by host country.
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Kalinax delivered a prediction model and a report on M&A deals in the Renewables sector for Latin America, on time and on value. We also provided a sophisticated set of recommendations, by cluster, to empower data-driven decision making.
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Kalinax provided a visual report on the key findings for Mexico's online shopping industry. Thus, we helped our client position themselves as a leader in the online retail space for their key markets.
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