OnebyZero has a team of skilled ML architects, data scientists and machine learning engineers that can formulate the right ML problem definitions, define the right metrics and loss functions, extract, clean and validate data, build models, deploy them, and continuously improve the models to achieve desired metrics.
We have experience in variety of classical and deep ML models for use-cases around marketing, next-best offers, churn prediction, campaign optimization, predictive maintenance, revenue forecasting, demand forecasting, inventory optimization, logistics, planning and scheduling, credit scoring, price & demand sensitivity models, fraud detection, etc.
Why work with OneByZero on Machine Learning?
OneByZero has deep experience in the end-to-end machine learning lifecycle, from defining the problem statement, building models and deploying them in production.
Hundred Foot Overview
Help define an analytics & machine learning strategy, identify key use-cases and initiatives that are relevant to their businesses, and establish ML processes, governance and ethics.
Fine Tuned to Requirements
Develop diagnostic, predictive and prescriptive models for a variety of purposes including: anomaly detection, forecasting, recommendations, root cause analysis and hundreds of other specific requirements.
Deployment and Beyond
Deploy MLOps tools and processes for model training and re-training, labeling, experimentation, monitoring, deployment, versioning, maintenance, testing and governance.
Improve metrics for various use-cases
OnebyZero takes a metrics-driven approach in all Machine Learning projects. We steadily aim to improve different kinds of technical metrics (precision, recall, accuracy, MAE, MAPE, NDGC, etc) as well business metrics (number of users, sessions, revenue, etc). in an iterative manner using a combination of experimentation and exploitation of learnings.
Marketing Optimization
Use ML to analyze customer behavior and preferences, enabling targeted marketing strategies.
Churn Prediction
Predict customer churn and proactively take retention measures using advanced analytics.
predictive maintenance
Apply ML to forecast equipment maintenance needs, minimizing downtime and costs.
demand forecasting
Utilize analytics to predict demand patterns, ensuring optimal inventory levels.
Fraud prediction
Implement ML algorithms to identify and prevent fraudulent activities in real-time.
price optimization
Develop models to optimize pricing strategies based on market trends and competition.
Accelerated Deployment
OnebyZero’ uses several accelerators in the space of Machine Learning to speed up the deployment of use-cases.
1
NEXT BEST OFFER / Action
Set of recommendation, propensity and persuadability models for deciding the next best offers/actions in a way that optimizes both take-up rate and net revenue impact
2
AI-POWERED CAmpaIGN Automation
Framework for automatically designing, deploying, measuring and periodically reconfiguring a large number of campaigns so as to optimize key metrics like take-up rate and revenue impact in an iterative manner
3
EXPLAINABLE AI
Framework for understanding top features of models, as well as explanations for predictions for a given point.
4
MARKETING ML
Framework for Market Mix Modeling, Multi-Channel Attribution and Full-Funnel measurement.
Meet your business goals with Analytics
Discover how you can improve customer satisfaction rates and lower churn by increasing the number of channels you interact with customers
Improve Campaign Efficiency
Achieved a 10x improvement in campaign efficiency over hard-coded offers for a telecommunications company using an NBO framework consisting of multiple propensity, persuadability and revenue optimization models.
Increased Take Up Rates
A 400% improvement in take-up rates was experienced, for customised offers using active learning, hierarchical clustering and multi-armed bandit optimization to come up with the right campaign strategy.
Reduced Errors
Estimated reduction of 90% in passenger misconnections in over 3 months using .a multi-objective optimization system in one of Asia’s busiest airports
Discover how you can improve customer satisfaction rates and lower churn by increasing the number of channels you interact with customers
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