Kurvv Blog

In a new normal for your business?

Nov 24, 2020 7:15:00 AM / by Jeff Croft posted in COVID-19, Machine Learning, Kurvv

As we enter lockdown again across the country, it left me thinking of all the uncertainty that business owners are dealing with in attempting to plan and forecast their business into the future.

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COVID-19 Progression by Country & Attributes

May 15, 2020 1:26:48 PM / by Soo Lee posted in COVID-19, Machine Learning, AI, Kurvv

The COVID-19 virus, first reported in the Chinese city of Wuhan in December, has spread to 180 countries, according to data compiled by Johns Hopkins University. As of 4/30, more than 3,308,233 infections have been reported, with over 234,105 deaths.

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COVID-19 (We are here to help)

Mar 26, 2020 3:22:19 AM / by Jeff Croft posted in Machine Learning, Small Business, ideas, startup, data science, ecommerce, Blog, Travel, Hospitality, Economy

These are unprecedented times.

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Life-Time-Value (LTV) based Segmentation solution for Shopify & Square

Jan 22, 2020 7:51:51 AM / by Ryan Lee posted in Machine Learning, data science, ecommerce, Blog, LTV

In Kurvv’s quest to make the power of machine learning accessible to business users, we are happy to say that our Life-Time-Value (LTV) bases Segmentation solution now also works for eCommerce customer additional to hotel (hospitality) customers. (limited to Shopify & Square users but more is on the way) Our LTV based segmentation models predict how valuable new customers and leads will be to your business over their lifetime, and group them into low, medium and high value categories. We do this by analyzing historical data to identify which attributes are most often associated with high-value customers.

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Customer Segmentation – How Machine Learning Can Set You Apart

Sep 26, 2019 11:23:28 PM / by Allen Klein posted in Machine Learning, Blog, Customer Segmentation, Hospitality

Excel and structured spreadsheets have been a fantastic tool for marketers and business owners for years. It brings structure to our data and helps us summarize and understand the reality of our data.

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