enearow/recommendation-system

Build a recommendation engine solution, i.e. a solution that will automatically recommend a product to a customer based on their purchase history.

Modification Date

08/08/2021

Description

With nearly GBP100M in annual revenue, Adventure Hardware Group (AHG) is one of the biggest global manufacturers of bikes and bike accessories in America, Europe and Asia. Overall, Data is seen as the fuel for strategic engine of this organisation. AHG has recently engaged Kernel Decision Science Limited to help it develop a data architecture that will enable it to leverage all data assets across the organisation and regions. More recently, AHG has developed an ambition to leverage data from weather, climate change, Google search trends, Twitter and Facebook to understand correlations between business decisions, external forces and company performance. Kernel recommends that an integration of all traditional and digital data sources will deliver higher commercial value and strategic opportunities to help AHG take new markets and develop better and more relevant products for existing and new customers.

I recently joined Kernel Limited as a Data Scientist, so i was required to work collaboratively with other analysts and business leaders within Kernel to develop this Big Data solution.

a. Frame a solution structure for the problem b. Create a presentation which highlights our approach and scopes the problem c. My presentation should include the benefits and impacts of the approach and highlight timelines and costs of this methodology.

Data Source

AHG Relational Database

Expected Solution

Build a recommendation engine solution, i.e. a solution that will automatically recommend a product to a customer based on their purchase history.

Conclusion.

We expect a great progress and quick change in market penetration and revenue in online shops.

References