{"version":"1.0","provider_name":"be-inf.ai","provider_url":"https:\/\/be-inf.ai\/de","author_name":"admin","author_url":"https:\/\/be-inf.ai\/de\/author\/admin\/","title":"How Predictive Analytics Helped an Electronics Retailer Detect Bonus Abuse - be-inf.ai","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"sLuUgJdErB\"><a href=\"https:\/\/be-inf.ai\/de\/case\/predictive-analytics-helped-detect-bonus-abuse\/\">Wie pr\u00e4diktive Analysen einem Elektronikh\u00e4ndler halfen, Bonusmissbrauch aufzudecken<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/be-inf.ai\/de\/case\/predictive-analytics-helped-detect-bonus-abuse\/embed\/#?secret=sLuUgJdErB\" width=\"600\" height=\"338\" title=\"\u201eWie pr\u00e4diktive Analysen einem Elektronikh\u00e4ndler halfen, Bonusmissbrauch aufzudecken\u201c \u2013 be-inf.ai\" data-secret=\"sLuUgJdErB\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script>\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/\/# sourceURL=https:\/\/be-inf.ai\/wp-includes\/js\/wp-embed.min.js\n<\/script>","description":"See how an electronics retailer improved fraud detection in their loyalty program. We consolidated transaction and bonus data to identify suspicious patterns. This automated approach reduced manual video reviews while increasing the accuracy of fraud detection."}