Automated Machine Learning - Customer Churn

By discovering patterns in historical customer activity, modern machine learning algorithms accurately predict which of your current customers are most likely to defect to your competitors. Not only will DataRobot’s models accurately predict defect rates, it will automatically identify the individual reasons for why each customer is likely to churn. This allows you to understand the factors driving your churn rate and adjust business processes accordingly, as well as individualise your retention efforts. Your retention team can focus their resources on the customers most at risk and offer them incentives to remain loyal. By retaining more customers, your business grows faster, increasing profits and building brand value.

Adidas Data Preparation & Visualization

Infotopics worked with Adidas teams in different regions and business units to drive digitalization in sales and marketing.

Reebok Net Promotor Score

Infotopics worked with global Reebok teams on deploying NPS (net promotor score) rapidly through their business.

Univar Sales & Marketing Reporting

Infotopics worked with Univar to a standard sales and marketing reporting structure and anchor it into theira CRM system.

Döhler Global Management Reporting

Infotopics worked with Döhler to digitize their global executive and senior management reporting.

LDM Business Scan

Infotopics worked with LDM on a complete business scan, ranging from price management to working capital management.