Based on this data the Bank can create for us an unique banking experience, suggesting us the perfect savings product, attractive credit terms or event an tailor-made investment program for our kids. All this thanks to data multisegmentation and strong recommendation engines.
We have designed a tailor-made system for fintech app, that used banking data to predict customer behaviour and suggest best offer, tailored to customer needs. Using multisegmentation engine we were able to automatically prepare personalized financial strategies, that not only helped better serve the customer in the bank branch, but most of all prepare unique banking product offers, answering a true customer need and providing great customer experience.
Session-based recommendation system
Session-based recommendation system...
Recommending the most relevant products in real time is the Holy Grail of data science in the e-commerce industry. Together with Sephora, we have met the challenge to improve online recommendations and increase the click-through rate (CTR).
LogicAI Team23 Nov 2022