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Enabling personalization for Omnichannel Commerce (Internship / Master Thesis)

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Enabling personalization for Omnichannel Commerce (Internship / Master Thesis)
In this role

In 2 steps you will:

  • First, set-up the principles and identify the tools of an architecture that: Aggregate in real-time high volumes of data (customers behavior, customer data, segments, products, inventory, promotions and incentive content)
  • Uses a rule engine that compile this data and enables personalization behavior
  • Ensure the integration with existing Omnichannel Commerce ecosystem (eCommerce, point of sales, social media,), most probably based on a microservice logic.

Second, mature the solution from a rule engine to an AI engine:

  • Gather feedbacks on the performance of the personalization
  • Let the engine learn and perform better personalization

Objectives

  • Analysis & research of current solutions & frameworks provided on the market
  • Understand the key success factors of such personalization tools within a distributed environment
  • Identify & validate the targeted solution Architecture
  • Choose which use cases to work on, identify matching real business needs linked to them.
  • Design and develop a POC of the solution
What we offer

You will join our team as intern and you will find a young, dynamic and culturally diverse working environment.

You will join our team of Omnichannel Commerce specialists, with the support of our architecture team, our big data / AI team, digital marketing experts. You will work in a stimulating and highly skilled environment.

About your profile
  • Software engineering and programming,
  • Bigdata and real time awareness and interest
  • Architecture and urbanisation principles knowledge
  • Digital Marketing & eCommerce interest
If you are INTERESTED in applying for this position, please send us your complete application (CV, cover letter, letter of reference, diplomas and certificates).Apply

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