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Retail and CPG Analytics

Retailers and CPG companies achieve breakthrough business outcomes by leveraging analytics automation on internal and external data to develop actionable insight into the needs of customers across products, channels, and other factors that influence demand.

 

Stay Relevant

On shelf availability and out of stock conditions remain among the most significant challenges facing retailers and their CPG partners. Meanwhile, shopping trends change rapidly, exposing retailers to lost sales when assortment falls out of favor, placing pressure on trade relationships that rely on promotions at the expense of margin. Shipping and fulfillment costs for e-commerce and other channels strain margins further and are a barrier for many emerging direct to consumer CPG programs as well.

These are Analytics Automation problems requiring access to a variety of internal and external data indicative of the ever-changing preferences of customers.

  • Gain a clear line of sight into the consumption behaviors of customers
  • Drop poor performing SKUs while filling relevant gaps with high demand products
  • Access all useful demand signals to co-create value-based trade promotion
  • Align marketing investments with dynamic consumer behavior
  • Optimize inbound, outbound, and reverse logistics

Automating the Analytics Process

Data Preparation and Blending

Automate the preparation, blending and integration of on-premise and external data sources to support descriptive through prescriptive analytics use cases.

Advanced Analytics

Forecast, identify trends, predict, and answer challenging business questions using predictive and prescriptive models.

Predictive Modeling Deployment
Help teams deploy predictive models into business processes with or without the use of coding in R and Python.

Event Triggering
Use predictive and prescriptive models to automatically trigger shipments, materials, sales, and more.

Analytic Apps

Turn analytic processes into applications can run using their own datasets and inputs.

 

Customer Stories

 
Customer Story
Taste the Feeling Coca-Cola Alteryx
Over 1.9 billion Coca-Cola beverages are enjoyed daily around the globe.
  • Cloud Products
  • Data Prep and Analytics
  • Designer
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Customer Story
Amway Adapts to Product Hierarchy Changes in Minutes
Amway migrated its data to Google Cloud BigQuery and centered its product hierarchy around Google Cloud Dataprep.
  • Cloud Customer Spotlight
  • Cloud Products
  • IT Professional
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Customer Story
PDPAOLA Stands out in a Crowded eCommerce Market with Google Cloud Dataprep
PDPAOLA chooses Google Cloud Dataprep and natively integrates with the Google Cloud Platform and quickly migrates its work over to Dataprep.
  • Cloud Customer Spotlight
  • IT Professional
  • Professional
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Assess your ROI Potential

 

7,000+

Global Customers

Customer Stories
 

Customers' Choice

Gartner Peer Insights Customers' Choice 2020

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200,000+

Community Members

Explore the Community
 

300+

Automation Building Blocks

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Alteryx is one of the platforms we use to make sense of all that essential information. I use it for too many projects to count, for everything from geospatial intelligence to time series forecasting and predictive modeling.

The Coca-Cola Company

Jay Caplan, Senior Business Analytics Manager

The Coca-Cola Company

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The impact Alteryx has had on our team is that it’s enabled us to build better collaborative relationships with outside entities. Personally, I’ve never seen a platform move through Amway as quick as Alteryx.

Amway

Jordan Howell, Lead Data Analyst

Amway

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We also use Server for sharing insights with our management teams. We are able to send them daily snapshots of reports that are running on an automated schedule that justifies the time savings we are getting.

7-Eleven

Raghav Nargotra, Manager, Digital Analytics

7-Eleven

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