The Possibilities are
AnyML can be used to gain insights across all industries and help solve countless business problems.
Gain a competitive advantage and improve business outcomes.
Next Best Offer
Identify the right product or service to offer to existing customers based on past purchasing behavior. Increase customer satisfaction, LTV, and ROI.
Automatically analyze customer demographic, geographic, and behavioral data. Identify the most valuable segments, and tailor marketing and sales outreach to those most likely to convert.
Analyze historical customer patterns to predict defection, and offer loyalty incentives to retain at-risk customers. Increase customer LTV, scale faster, and increase revenue.
Predict ad efficacy and determine the highest converting campaigns. Develop a model to analyze and choose ads that are most likely to convert.
Identify what marketing activities drive the highest conversions. Fine-tune campaigns, and double down on the right activities.
Personalize patient care using past medical records. Determine patient risk, best treatment options, and intervention strategies.
Predict most effective marketing campaigns to drive renewals, reduce patient turnover, and manage your efficiency.
Accurately stratify population risk, understand length of stay, and risk of facility-acquired conditions to proactively manage outcomes.
Optimize revenue flow, maximize resource utilization, reduce waste, and manage fraudulent claims and transactions.
Predict and manage staffing needs, prioritize patient needs, and orchestrate provider experience to reduce stress and burnout.
Automate processes, centralize data, customize reporting, enhance transparency, and reduce complexity between department communications.
Improve care and transition strategies by identifying when a patient presents risk factors that indicate a higher likelihood of readmission.
No show Prediction
Reduce revenue loss, improve patient satisfaction, and proactively offer open appointment slots by identifying patients who are likely to skip appointments without prior notice.
Use past medical records and risk factors to identify which patients are likely to suffer from drug abuse, and select proper care for them.
Real time analysis of common networking problems and anomaly detection.
RAN Update Optimization
Upgrade planning, congestion area recognition, and tune network parameters based on model insight.
Energy Management Savings
Optimize energy utilization across entire infrastructure and reduce CapEx.
Forecast network growth and investment locations to prevent unnecessary spending.
Use demographics to target the correct audience at the right time.
Call Center Optimization
Use internal and customer data to generate actionable insights, improve efficiency, reduce call and wait times, increase conversion rates, and improve customer satisfaction.
Detect, flag, and block fraudulent transactions and claims. Deploy a detection model in minutes using past fraudulent behavior data.
Predict a customer’s likelihood of defaulting on their credit card based on their credit history and behavior.
Deploy Robo-advisors to predict ROI on investments based on risk tolerance and portfolio profile.
Analyze production and determine most impactful variables on the manufacturing process. Drive efficiency and predict potential failures for upstream solutions.
Predict and automate presumptive maintenance on machinery to prevent mechanical failure and ensure uninterrupted production.
Decrease shipping time and costs by analyzing various route options to optimize fuel efficiency and travel time.
Ticket price (Price Optimization)
Use historical data such as past ticket prices, team schedules, and weather forecast to set the optimal ticket price for each event. Increase attendance to maximize profit.
Identify and understand which season ticket holders are least likely to renew. Create strategies to retain current ticket holders and reduce new customer acquisition costs.
Project players performance throughout the season by using medical records, past performance, strengths and weaknesses, and real-time performance data.
Use player and team performance data to identify the most effective strategies to help win games and increase fan satisfaction and attendance.
Having an injured player reduces team performance and customer satisfaction, resulting in lower ticket sales. Accurately evaluate the likelihood of injury based on strengths and weaknesses, and previous medical history.
Identify students at risk of dropping out through admissions factors, area of study, and GPA/semester grades. Make additional efforts to retain students with high risk factors.
Use factors such as website data, demographics, geographic location, average test scores, and extracurricular activities to optimize outreach efforts to prospective students.
Natural Resource Location
Predict which locations will produce the most resources at the lowest possible cost.