Retail Analytics

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RETAIL Data analytics

• a CASE STUDY

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Business Problem

• Retailers who use Data Analytics achieve 73
  higher sales than who don't. Retailers who do not
  have access to analytics solution face the
  following problems
• Cannot predict customer preference accurately.
• Cannot determine highest price a customer will
  pay for product
• No specified Targets for recommendations and
  promotions
• Poor Price management
• Undetected Fraud
• Poor supply chain management
• Lack of Business intelligence

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Business Solution

• Qwentic developed a Big Data analytics platform
  that uses Golang, Python , and Hadoop to pull
  data from Teradata. The Platform can produce
  Analytics based on Historical Data, and at the
  same time, it offers Predictive Analytics based
  on Hadoop Data storage.
• Deciphering this massive amount of data the
  platform can determine
• Dynamic Pricing
• Clickstream Analysis
• Social Media Analysis
• 360 Customer Analysis
• Fraud Detection and Prevention

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Business Benefit

• Customer Satisfaction
• Increase sale
• Less Data Processing time
• Mainframe Cost Saving
• Identify new product opportunities within current
  market.
• Build unique customer profiles personas in
  order to match solutions to specific customer
  needs
• Improve brand image of company
• Avoid spamming Clients with unnecessary offers.

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About Us
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