DataRobot helped Global Credit use AI to manage risk and boost revenue. The company built accurate models to find unbanked people less likely to default on loans. In eight weeks, the data team launch...ed several high-impact models. Global Credit increased loan acceptance rates and revenue while keeping risk steady. The company also learned which former customers are likely to return, saving resources on customer acquisition.
DataRobot helped Financiera Efectiva build AI models 4x faster. The company increased credit access by 8%, leading to millions of dollars in new loans. DataRobot provided advanced modeling, automatio...n, and AI governance. The team improved model performance by 10 points. They also gathered regulatory documentation months sooner. AI now supports decisions in sales, collections, lending, risk, and operations.
DataRobot helps Razorpay build AI models 10 times faster. Razorpay needed a user-friendly AI platform for fast experimentation and bias mitigation in fintech. With DataRobot, data scientists and busi...ness users create models quickly and solve business problems faster. Razorpay integrated DataRobot with Amazon Web Services. One team built a fraud reduction AI solution in just 12 hours. Model creation time dropped from five days to less than four hours.
DataRobot helped Sanlam, a leading African financial institution, improve sales and client retention. Sanlam's data scientists found open-source AI tools hard to use and lacking explainability. With ...DataRobot, they built models faster and made AI accessible to both data scientists and actuaries. The platform improved customer retention by reducing lapse rates and boosted sales with better lead selection. Sanlam values DataRobot for its transparency, technical strength, and support.
DataRobot helped Global Credit use AI to manage risk and grow revenue. The company built accurate models to find unbanked people less likely to default on loans. In eight weeks, the data team launche...d several high-impact models. Global Credit increased loan acceptance rates and revenue while keeping risk steady. The company also learned which former customers are likely to return, saving resources on customer acquisition.
DataRobot helped Freddie Mac automate predictive analytics. The company struggled to scale manual analytics across 100,000+ customers and four terabytes of data. With DataRobot, Freddie Mac's data sc...ientists proved concepts 2–10 times faster. They saved over 1,700 hours per project. Analytics team productivity increased by 2.7 times. This sped up time to market and supported affordable housing goals.
Hospital & Health Care Case Studies and Success Stories with DataRobot
CASE STUDY University Medical Centre Mannheim
DataRobot helps University Medical Centre Mannheim use AI to improve clinical research. Doctors and researchers analyze patient data to find new insights. Nearly 30% of patients saw better quality of... life at six months. Another 30% had a decline or consistently poor quality of life. The team now understands more about lipid profiles and heart attack risk. DataRobot makes complex tasks fast and easy for clinicians.
Automotive Case Studies and Success Stories with DataRobot
CASE STUDY Inchcape
DataRobot helped Inchcape, a global auto distributor, speed up model creation, testing, and deployment by 50%. Inchcape used DataRobot to manage the full AI lifecycle across 200 business units. The t...eam identified the best pricing across thousands of SKUs 75% faster. DataRobot enabled rapid experimentation and automation, reducing time to market. Inchcape scaled analytics to 40+ countries using DataRobot's Enterprise AI capabilities.
Transportation/Trucking/Railroad Case Studies and Success Stories with DataRobot
CASE STUDY NZ Post
DataRobot helped NZ Post cut customer calls by 33%. NZ Post used DataRobot's predictive and generative AI to improve customer experience and warehouse safety. The platform's image classification boos...ted parcel delivery privacy and reduced warehouse safety risks. NZ Post also saw an 18% drop in visits to the call center page. DataRobot integrated with NZ Post's existing systems for smooth operations.
DataRobot helped NZ Post cut customer calls by 33%. The platform uses predictive and generative AI to improve customer experience and warehouse safety. NZ Post used image classification to boost deli...very privacy and reduce safety risks. They also saw an 18% drop in visits to the call center page. DataRobot integrates with NZ Post’s tech ecosystem and supports their supply chain innovation.
Health, Wellness and Fitness Case Studies and Success Stories with DataRobot
CASE STUDY Personify Health
DataRobot helped Personify Health cut AI model development time by 82%. The company used DataRobot to unite engineers, data scientists, and analysts on one platform. This improved observability and g...overnance. Model development dropped from three weeks to 21 hours. Personify Health now deploys models with 80% accuracy and greater transparency.
Real Estate Case Studies and Success Stories with DataRobot
CASE STUDY Keller Williams
DataRobot AI Platform helped Keller Williams boost agent efficiency. The company used DataRobot to automate machine learning and integrate with Google Cloud Platform. This allowed Keller Williams to ...move predictive models into production at least 3 times faster. They now save 3 to 4 weeks in bringing new products to market. The team uses DataRobot’s low-code tools for fast development and testing, making decisions quicker and improving business outcomes.
DataRobot helps VidaCaixa, Spain's top insurance company, speed up AI model building for underwriting, payouts, and customer support. The platform lets them test many models quickly and meet strict A...I governance rules. VidaCaixa saves costs by needing fewer data scientists—every four models built with DataRobot saves one hire. They also save about 30 minutes per insurance claim by automating payout decisions. DataRobot makes it easy for junior staff to build models and supports compliance and fairness in AI.
DataRobot helps VidaCaixa, Spain’s largest insurance company, speed up AI model development for underwriting, payouts, and customer support. The platform lets VidaCaixa build and test many models in ...weeks instead of months. DataRobot ensures models meet strict AI governance rules. VidaCaixa saves costs by reducing the need for extra data scientists. For every four models built with DataRobot, they avoid hiring one more data scientist.
DataRobot helped Noritz, a major manufacturer, use predictive and generative AI to improve field engineer efficiency. The Noritz Diagnostics AI Assistant standardized data, classified breakdowns, and... recommended solutions. This reduced the time to review and process data by 70%. Field engineers now resolve issues faster and more accurately. Customer satisfaction and operational efficiency improved across the company.
DataRobot helped Noritz improve customer support with predictive and generative AI. Noritz faced slow resolution times due to poor knowledge sharing among engineers. The Noritz Diagnostics AI Assista...nt uses AI to standardize data, classify breakdowns, and suggest solutions. This lets engineers make faster, more accurate decisions. GenAI cut data review and processing effort by 70%. Noritz now delivers new models faster and has improved customer satisfaction and operational efficiency.
DataRobot helps Norfolk Iron & Metal use AI-driven forecasting for supply chain planning. The solution works with SAP IBP to improve demand planning. Norfolk Iron & Metal gains faster, more adaptive ...forecasting and better execution. The company can align AI with supply chain strategy and improve forecast accuracy. Teams get real-time, AI-driven insights to streamline operations and reduce planning cycle times.
DataRobot helped Cegid automate the analytics lifecycle for their invoice factoring business. Cegid used DataRobot to build and deploy AI models 50% faster. The platform enabled Cegid to find 20% mor...e viable business opportunities in one year. This led to €15 million in additional annual volume from funded invoices. The solution reduced the need for coding and technical resources.