{"id":5315,"date":"2020-09-11T09:14:12","date_gmt":"2020-09-11T09:14:12","guid":{"rendered":"https:\/\/beta.bluetab.net\/crm-con-inteligencia-artificial\/"},"modified":"2021-07-08T21:42:10","modified_gmt":"2021-07-08T21:42:10","slug":"crm-with-artificial-intelligence","status":"publish","type":"post","link":"https:\/\/bluetab.org\/en\/crm-with-artificial-intelligence\/","title":{"rendered":"CRM with artificial intelligence"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"5315\" class=\"elementor elementor-5315\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-854e540 elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"854e540\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-e55bd9d\" data-id=\"e55bd9d\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2177670 elementor-widget elementor-widget-theme-post-title elementor-page-title elementor-widget-heading\" data-id=\"2177670\" data-element_type=\"widget\" data-widget_type=\"theme-post-title.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\">CRM with artificial intelligence<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-inner-section elementor-element elementor-element-b716fb6 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"b716fb6\" data-element_type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-no\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-286d088\" data-id=\"286d088\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-2087361 elementor-widget elementor-widget-text-editor\" data-id=\"2087361\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">As a follow-up to the technological strategy of one of the leading financial institutions, a machine learning algorithm is implemented to predict and prioritize the best offering mix to propose to customers, with the aim of increasing cross-selling and linking of the installed customer base.<\/span><\/p><p><span style=\"font-weight: 400;\">By implementing ML, it is possible to enhance the commercial strategy of the entity, broadening the customer vision and integrating with the current CRM, which will increase the probability of success of the actions to be carried out, improving income and customer satisfaction and loyalty. For this, the algorithm prioritizes through existing campaigns crossing with alternative products such as loans, mortgages, funds, cards, pension plans, or different types and insurance coverage (home, health, car)<\/span><\/p><p><span style=\"font-weight: 400;\">As output, it is intended to show the improvement by measuring the increase in specific indicators such as:<\/span><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-28edd61 elementor-icon-list--layout-traditional elementor-list-item-link-full_width elementor-widget elementor-widget-icon-list\" data-id=\"28edd61\" data-element_type=\"widget\" data-widget_type=\"icon-list.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<ul class=\"elementor-icon-list-items\">\n\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Capa_1\" data-name=\"Capa 1\" viewBox=\"0 0 113.39 113.39\"><defs><style>.cls-1{fill:#e76118;}<\/style><\/defs><title>barra-bluetab<\/title><path class=\"cls-1\" d=\"M73.6,4.18c-.08,0,0,0-.08,0a10.35,10.35,0,0,0-9.59,6.5L26.86,109.2H39.79c.07,0,0,0,.07,0a10.41,10.41,0,0,0,9-5.15L86.53,4.18Z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Contracts<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Capa_1\" data-name=\"Capa 1\" viewBox=\"0 0 113.39 113.39\"><defs><style>.cls-1{fill:#e76118;}<\/style><\/defs><title>barra-bluetab<\/title><path class=\"cls-1\" d=\"M73.6,4.18c-.08,0,0,0-.08,0a10.35,10.35,0,0,0-9.59,6.5L26.86,109.2H39.79c.07,0,0,0,.07,0a10.41,10.41,0,0,0,9-5.15L86.53,4.18Z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">value-customer ratio<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Capa_1\" data-name=\"Capa 1\" viewBox=\"0 0 113.39 113.39\"><defs><style>.cls-1{fill:#e76118;}<\/style><\/defs><title>barra-bluetab<\/title><path class=\"cls-1\" d=\"M73.6,4.18c-.08,0,0,0-.08,0a10.35,10.35,0,0,0-9.59,6.5L26.86,109.2H39.79c.07,0,0,0,.07,0a10.41,10.41,0,0,0,9-5.15L86.53,4.18Z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">% digitization per customer<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-icon\">\n\t\t\t\t\t\t\t<svg xmlns=\"http:\/\/www.w3.org\/2000\/svg\" id=\"Capa_1\" data-name=\"Capa 1\" viewBox=\"0 0 113.39 113.39\"><defs><style>.cls-1{fill:#e76118;}<\/style><\/defs><title>barra-bluetab<\/title><path class=\"cls-1\" d=\"M73.6,4.18c-.08,0,0,0-.08,0a10.35,10.35,0,0,0-9.59,6.5L26.86,109.2H39.79c.07,0,0,0,.07,0a10.41,10.41,0,0,0,9-5.15L86.53,4.18Z\"><\/path><\/svg>\t\t\t\t\t\t<\/span>\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\">Click-through rate<\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t\t\t<li class=\"elementor-icon-list-item\">\n\t\t\t\t\t\t\t\t\t\t<span class=\"elementor-icon-list-text\"><\/span>\n\t\t\t\t\t\t\t\t\t<\/li>\n\t\t\t\t\t\t<\/ul>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<div class=\"elementor-column elementor-col-50 elementor-inner-column elementor-element elementor-element-8128163\" data-id=\"8128163\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-6dcf888 elementor-widget elementor-widget-theme-post-featured-image elementor-widget-image\" data-id=\"6dcf888\" data-element_type=\"widget\" data-widget_type=\"theme-post-featured-image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"905\" src=\"https:\/\/bluetab.org\/wp-content\/uploads\/2020\/09\/photos-hobby-jjgxjesmxoy-unsplash-scaled.jpeg\" class=\"attachment-large size-large wp-image-4416\" alt=\"\" \/>\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-dd4321d elementor-section-stretched elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"dd4321d\" data-element_type=\"section\" data-settings=\"{&quot;stretch_section&quot;:&quot;section-stretched&quot;,&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-db8596e\" data-id=\"db8596e\" data-element_type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-78c53af elementor-widget elementor-widget-text-editor\" data-id=\"78c53af\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\tSUCCESS STORIES\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-3b92793 elementor-widget-divider--view-line elementor-widget elementor-widget-divider\" data-id=\"3b92793\" data-element_type=\"widget\" data-widget_type=\"divider.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-divider\">\n\t\t\t<span class=\"elementor-divider-separator\">\n\t\t\t\t\t\t<\/span>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>As a follow-up to the technological strategy of one of the leading financial institutions, a machine learning algorithm is implemented to predict and prioritize the best offering mix to propose to customers, with the aim of increasing cross-selling and linking of the installed customer base. By implementing ML, it is possible to enhance the commercial [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":4416,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"elementor_header_footer","format":"standard","meta":{"inline_featured_image":false,"_uag_custom_page_level_css":"","_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[605],"tags":[608],"class_list":{"0":"post-5315","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-casos-2","8":"tag-augmented-analytics-2","9":"entry"},"uagb_featured_image_src":{"full":["https:\/\/bluetab.org\/wp-content\/uploads\/2020\/09\/photos-hobby-jjgxjesmxoy-unsplash.jpeg",4398,3888,true],"thumbnail":["https:\/\/bluetab.org\/wp-content\/uploads\/2020\/09\/photos-hobby-jjgxjesmxoy-unsplash-scaled.jpeg",150,133,false],"medium":["https:\/\/bluetab.org\/wp-content\/uploads\/2020\/09\/photos-hobby-jjgxjesmxoy-unsplash-scaled.jpeg",300,265,false],"medium_large":["https:\/\/bluetab.org\/wp-content\/uploads\/2020\/09\/photos-hobby-jjgxjesmxoy-unsplash-scaled.jpeg",768,679,false],"large":["https:\/\/bluetab.org\/wp-content\/uploads\/2020\/09\/photos-hobby-jjgxjesmxoy-unsplash-scaled.jpeg",1024,905,false],"1536x1536":["https:\/\/bluetab.org\/wp-content\/uploads\/2020\/09\/photos-hobby-jjgxjesmxoy-unsplash-scaled.jpeg",1536,1358,false],"2048x2048":["https:\/\/bluetab.org\/wp-content\/uploads\/2020\/09\/photos-hobby-jjgxjesmxoy-unsplash-scaled.jpeg",2048,1811,false],"sidebar-featured":["https:\/\/bluetab.org\/wp-content\/uploads\/2020\/09\/photos-hobby-jjgxjesmxoy-unsplash-scaled.jpeg",75,66,false],"genesis-singular-images":["https:\/\/bluetab.org\/wp-content\/uploads\/2020\/09\/photos-hobby-jjgxjesmxoy-unsplash-scaled.jpeg",595,526,false]},"uagb_author_info":{"display_name":"Bluetab","author_link":"https:\/\/bluetab.org\/en\/author\/user\/"},"uagb_comment_info":0,"uagb_excerpt":"As a follow-up to the technological strategy of one of the leading financial institutions, a machine learning algorithm is implemented to predict and prioritize the best offering mix to propose to customers, with the aim of increasing cross-selling and linking of the installed customer base. By implementing ML, it is possible to enhance the commercial&hellip;","_links":{"self":[{"href":"https:\/\/bluetab.org\/en\/wp-json\/wp\/v2\/posts\/5315","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bluetab.org\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bluetab.org\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bluetab.org\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bluetab.org\/en\/wp-json\/wp\/v2\/comments?post=5315"}],"version-history":[{"count":4,"href":"https:\/\/bluetab.org\/en\/wp-json\/wp\/v2\/posts\/5315\/revisions"}],"predecessor-version":[{"id":10916,"href":"https:\/\/bluetab.org\/en\/wp-json\/wp\/v2\/posts\/5315\/revisions\/10916"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bluetab.org\/en\/wp-json\/wp\/v2\/media\/4416"}],"wp:attachment":[{"href":"https:\/\/bluetab.org\/en\/wp-json\/wp\/v2\/media?parent=5315"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bluetab.org\/en\/wp-json\/wp\/v2\/categories?post=5315"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bluetab.org\/en\/wp-json\/wp\/v2\/tags?post=5315"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}