Data science
Competitive advantages through intelligent decisions
...
...
Select
Optimize enterprise operations with mathematical precision
Decision automation for marketing, pricing and supply chain
Systems that understand business objectives
Economic modeling combined with machine learning
Millions of input signals, billions of real-time decisions
Areas of expertise
Customer intelligence and personalization
Price and promotion optimization
Inventory optimization
Marketing spend optimization
Book
Introduction to Algorithmic marketing
Introduction to Algorithmic Marketing is a comprehensive guide to advanced marketing automation for marketing strategists, data scientists, product managers, and software engineers.
Technologies we use
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text
Python is an interpreted, high-level, general-purpose programming language
XGBoost is an open-source software library which provides a gradient boosting framework for C++, Java, Python, R, and Julia
an open source machine learning framework for developers, data scientists, and end users
open-source software for big-data analysis
machine learning library for the Python programming language
Programming language for statistical computing, data analysis, and graphic design
Gradient boosting framework that uses tree based learning alogorithms
Python code library that adds scientific computing capabilities
Collection of open source code libraries for math, science and engineering
Neural network library written in Python
Machine learning framework and library for dataflow programming
Machine learning library for Python that can be used for applications such as natural language processing
Deep learning software used to train neural networks
Python library and optimizing compiler for manipulating and evaluating mathematical expressions
General-purpose programming language that provides support for functional programming
Technical computing system used throughout a wide variety of technical, engineering, and mathematical fields
A numerical computing environment and proprietary programming language
General-purpose dynamic programming language for numerical analysis and computational science
Distribution of Python and R for scientific computing to simplify package management and deployment
Service that enables the building, training, and deploying of machine learning models quickly
Fully-managed cloud service that enables building, deploying, and sharing of predictive analytics solutions.
Managed service that builds and brings superior machine learning models to production
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text
Python is an interpreted, high-level, general-purpose programming language
XGBoost is an open-source software library which provides a gradient boosting framework for C++, Java, Python, R, and Julia
an open source machine learning framework for developers, data scientists, and end users
open-source software for big-data analysis
machine learning library for the Python programming language
Programming language for statistical computing, data analysis, and graphic design
Gradient boosting framework that uses tree based learning alogorithms
Python code library that adds scientific computing capabilities
Collection of open source code libraries for math, science and engineering
Neural network library written in Python
Machine learning framework and library for dataflow programming
Machine learning library for Python that can be used for applications such as natural language processing
Deep learning software used to train neural networks
Python library and optimizing compiler for manipulating and evaluating mathematical expressions
General-purpose programming language that provides support for functional programming
Technical computing system used throughout a wide variety of technical, engineering, and mathematical fields
A numerical computing environment and proprietary programming language
General-purpose dynamic programming language for numerical analysis and computational science
Distribution of Python and R for scientific computing to simplify package management and deployment
Service that enables the building, training, and deploying of machine learning models quickly
Fully-managed cloud service that enables building, deploying, and sharing of predictive analytics solutions.
Managed service that builds and brings superior machine learning models to production
The Jupyter Notebook is an open-source web application that allows you to create and share documents that contain live code, equations, visualizations and narrative text
Python is an interpreted, high-level, general-purpose programming language
XGBoost is an open-source software library which provides a gradient boosting framework for C++, Java, Python, R, and Julia
an open source machine learning framework for developers, data scientists, and end users
open-source software for big-data analysis
machine learning library for the Python programming language
Programming language for statistical computing, data analysis, and graphic design
Gradient boosting framework that uses tree based learning alogorithms
Python code library that adds scientific computing capabilities
Collection of open source code libraries for math, science and engineering
Neural network library written in Python
Machine learning framework and library for dataflow programming
Machine learning library for Python that can be used for applications such as natural language processing
Deep learning software used to train neural networks
Python library and optimizing compiler for manipulating and evaluating mathematical expressions
General-purpose programming language that provides support for functional programming
Technical computing system used throughout a wide variety of technical, engineering, and mathematical fields
A numerical computing environment and proprietary programming language
General-purpose dynamic programming language for numerical analysis and computational science
Distribution of Python and R for scientific computing to simplify package management and deployment
Service that enables the building, training, and deploying of machine learning models quickly
Fully-managed cloud service that enables building, deploying, and sharing of predictive analytics solutions.
Managed service that builds and brings superior machine learning models to production
Read more
Promotion targeting
Read how machine learning was used to manage many aspects of product promotion campaigns, including targeting, budgeting, and discount properties.
Safety stock
Learn how predictive analytics were used to improve Buy Online & Pick Up in Store program by enabling smarter inventory reservation decisions.
Promotion calendar optimization
Read how traditional price and promotion management processes were improved using machine learning to increase profits and prevent losses.
Customer intelligence
Learn how a channel-centric marketing organization was transformed into an omni-channel, capability-centric organization that extensively uses machine learning to gain insights into customer behavior.
