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Recommendation Systems case studies
Since 2014, the LaSoft team has been implementing digital transformation services for insurance, telecommunication, human resources, recruitment, marketing, healthcare, real estate, education, sports tech, and other industries.
Recommendation systems are systems developed to suggest relevant items to users (text to read, movies to watch, products to buy, or something else depending on industry). The purpose of a recommendation system is to suggest the relevant items to users and help them identify what they are looking for to save a lot of time. They're extremely important in some industries as they can generate a large amount of income when they are efficient or also be a way to stand out significantly from competitors. To provide relevant choices for users, there are such categories of methods: collaborative filters, content-based method, and a classification model.
Age Line is a massive user portal that helps seniors find places that are free of ageism and are forward-thinking with regard to giving practical answers to problems faced by older adults. Age Line is intended to be an open-sourced set of solutions to an aging society’s challenges.
Real EstateShow More
Our portfolio includes commercial property management systems development, residential property management, tenant management, mobile applications for real estate, custom data visualization solutions, real estate portals, listing platforms, advanced search and recommendation engines, and real estate valuation systems.
Digital TransformationShow More
Our primary mission is to empower our clients with enhanced efficiency and enable them to embrace digital transformation as a means to attain a competitive edge in their respective markets while streamlining their business processes through automation.