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Retail and CPG analytics

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Retail and CPG leaders use KNIME to drive profitability

  • Forecast inventory and stock requirements to optimize SKUs and reduce costs.Forecast inventory and stock requirements to optimize SKUs and reduce costs.
  • Respond to customer needs rapidly with sharp insights into changing consumer preferences.Respond to customer needs rapidly with sharp insights into changing consumer preferences.
  • Increase profit margins by identifying optimal prices and attractive discounts for products.Increase profit margins by identifying optimal prices and attractive discounts for products.

Success stories

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We’re doing probably double or triple the work that used to be done in the past. We’re doing it with the exact same resources.

Antonina Polkovnikova, Manager of Analytics & Performance, Kärcher
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Use Cases

Real-world applications of data analytics in Retail and CPG analytics.

Customer Analytics

  • Customer Segmentation
  • Customer Satisfaction Reviews
  • Marketing Campaign Analysis
  • Customer Lifetime Value Forecasting
  • Churn Prediction
  • Sales Performance Analysis

Supply Chain & Inventory Management

  • Demand Forecasting
  • Supply Chain Optimization
  • Inventory Optimization & Forecasting
  • Price Optimization

Personalization

  • Product Recommendation Systems
  • Product Portfolio Optimization
  • Market Basket Analysis

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Why KNIME for Retail and CPG

From raw data to insights, in a single platform

From raw data to insights, in a single platform

  • Combine, shape, and analyze data from sales, inventory, operations, customers, and hundreds of other sources in a single platform.
  • Create, test, train, and deploy machine learning models in the same platform without the hassle of switching between tools.
  • Avoid integration complexities and see the outcomes of your analyses faster.
Analytic depth, yet accessible to all

Analytic depth, yet accessible to all

  • Build sophisticated machine learning models to forecast demand, spot trends, and get insights to address all retail operations and supply chain challenges.
  • Choose any tool, script, and technique in a low-code/no-code environment, and deliver complex analyses as data apps to business teams across the organization.
  • Make modifications, explore data, draw insights, and collaborate with colleagues directly from your browser.

Enterprise-scale data analytics platform

Enterprise-scale data analytics platform

  • Enjoy data access and analytics agility while ensuring data privacy and security through centralized administration.
  • Deliver relevant insights by automating tedious tasks from data blending to model hyperparameter optimization.
  • Schedule workflows to trigger automatic restocking, promotions, shipments, and more.
  • Share and reuse analyses and deploy them wherever you want - whether that’s on-premises or in the cloud.
Innovation powered by open source

Innovation powered by open source

  • Stay ahead of the curve with the continuous innovation offered by a global, open-source community. No waiting around endlessly for advanced functionality and extensions from proprietary vendor platforms.
  • Capitalize on the countless, readymade solutions for retail and CPG in the KNIME Community Hub.