Leverage data to transform the way you sell, interact with customers, and manage your business. There’s a tremendous opportunity to maximize profits at every stage of the value chain, from optimizing pricing to more closely aligning supply and demand.
These leading companies have bought into our approach.
Three Ways Data Science Helps Retailers Make the Sale
Mine the customer journey for deep insights
Make loyalty programs more effective by predicting uptake
Optimize product mix and pricing with algorithm-driven decisions
Conduct market basket analysis to find powerful product combinations
Boost campaigns with more precise targeted offers
Enhance merchandise planning by phasing out unprofitable offerings
Optimize supply chains and eliminate stock outs without additional inventory
Forecast successful store sites and optimize in-store demand and staffing
Identify patterns that enable immediate detection of fraud
Inject customer voices into decision-making
Enhance product quality assurance programs
Find and retain the right staff by predicting successful candidates
Digitally Transform Customer Journeys from End-to-End
Retailers around the world are faced with constantly changing consumer buying patterns, inventory challenges, and competition for their customers’ attention.
Data-driven companies have used RapidMiner to make more informed decisions throughout their business—across everything from understanding buying behaviors and boosting long-term loyalty to price setting and demand forecasting. Understand and cater to your customers’ dynamic needs while optimizing day-to-day operations for maximum profits.
AI for Retail—Why Now?
No industry has weathered change in recent years as much as retail, eCommerce, and consumer goods. Luckily, you can lean on data science to simplify strategic decisions and pave a clearer way forward. That means everything from identifying your most profitable customers to accurately segmenting and targeting them with personalized and relevant messages and offers.
Social media, in particular, is a treasure trove of customer insight, both at the individual level—where brand advocates and detractors can be addressed one-on-one—and as a resource to understand broader sentiment toward brands and products.
Discover the RapidMiner Data Science Platform
RapidMiner unifies the entire end-to-end data science lifecycle so that you can turn promising data science projects into solutions that deliver real business results—and set you apart from the competition.
Excellent Interface and Easy Model Generation Thanks to AutoModel
We started using RapidMiner Studio years ago. The excellent results speak for themselves, so we have been very satisfied with our cooperation with RapidMiner for a long time. The support is remarkable and leaves nothing to be desired.
RapidMiner Review After 3.5 Years of Usage
Predictive models are easy to program and create, which is helpful in our daily work. AutoModel, featuring engineering and drag-and-drop methods are available as well. Workflow visualization is great. Statistical capabilities are various. With many source systems, it's a great tool to integrate and use all of them in one place.
Best Data Science and Machine Learning Solution
Overall, I had a positive experience with RapidMiner. It is a unified platform where I can judge my data overall and we can easily decide where we need improvements and what is working well. Due to its machine learning, I am confident about my decision that keeps my brand standing out in a competitive world.
Senior Software Engineer
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Using Data Science to Find Your Customers’ Story
Learn how this global creative agency tapped into data science to conduct market research for customer segmentation, messaging, and brand health tracking.
Capitalize on new opportunities—from improving decision-making to gaining & retaining the right customers. Request a free AI Assessment to determine the feasibility and business impact of the your high-priority use cases.