Data Science for Retail

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

Drive Revenue
  • 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
Cut Costs
  • 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
Manage Risk
  • 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.

customer-shopping

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.

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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.
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975,000+

Global users

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.

Data Analyst

Retailers

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.

Reporting Expert

Carriers

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

IT Services

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Data Science for Retail

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