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October 11, 2019

Stanley, Black & Decker Selects DataRobot to Supersize Data Science Efforts 

BOSTON, Oct. 11, 2019 — DataRobot, the leader in enterprise AI, today announced that Stanley, Black & Decker, the global diversified industrial with business units focused on tools and storage, security, healthcare, and industrial products, has selected its Enterprise AI Platform to transform its business into an AI-driven enterprise. 

Prior to selecting DataRobot, Stanley, Black & Decker had a data science team that used a wide range of open source code to solve a variety of analytics problems across more than 30 brands. It sought a solution that would scale across business units and use cases as well operationalize data science, transforming the culture in the process. The team also needed a tool that would quickly and accurately build the best machine learning models for a specific problem, including demand forecasting, which was previously handled using an outdated and extremely manual approach. After evaluating several vendors, they selected DataRobot for its development and deployment speed, prediction performance per hour, ease of use, and ability to transform business and data analysts into citizen data scientists. 

“We chose DataRobot to allow our data scientists to efficiently determine and use the best machine learning model for specific problems,” said Aleksandar Lazarevic, VP of Advanced Analytics & Data Engineering, Stanley, Black & Decker. “DataRobot will help us to rapidly iterate on thousands of combinations of models, data preparation steps, and parameters that would take days or weeks to do manually. In addition, their unparalleled development, support, and variety in model management will enable us to quickly deploy the prediction models and ensure the most effective business adoption.”  

Stanley, Black & Decker will deploy the DataRobot platform, including Automated Machine Learning and Automated Time Series, to further enhance its predictive analytics capabilities and dramatically reduce the time spent on data wrangling and model building. This will free the team up to focus on other business challenges and opportunities while simultaneously driving tremendous business value.  

The team will use DataRobot for a number of use cases across different business units; examples include demand forecasting, inventory optimization, supply chain management, customer acquisition, and logistics efficiencies. For demand forecasting in particular, Stanley, Black & Decker will leverage Automated Time Series to build and deploy sophisticated time series models that predict the future values of a data series based on its history and trends. DataRobot will also provide a detailed AI Roadmap to ensure Stanley, Black & Decker has a clear understanding of and path to success.  

“With 175 years of innovation, Stanley, Black & Decker is inspiring makers with its products daily. They needed a solution that would not only allow their data science team to build and deploy models, but also inspire a culture of change within the organization,” said Paul Winsor, General Manager of Retail, DataRobot. “We’re delighted to be advancing their ability to leverage AI and delivering a path to derive value from data, and look forward to helping them scale their machine learning efforts across the entire business.”  

To learn more about DataRobot’s work in the retail sector, visit datarobot.com/retail.   

About DataRobot 

DataRobot is the leader in enterprise AI and the category creator and leader in automated machine learning. Organizations worldwide use DataRobot to empower the teams they already have in place to rapidly build and deploy machine learning models and create advanced AI applications. With a library of hundreds of the most powerful open source machine learning algorithms, the DataRobot platform encapsulates every best practice and safeguard to accelerate and scale data science capabilities while maximizing transparency, accuracy, and collaboration.  


Source: DataRobot

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