Requirements and a business case were obtained from the clients. The team enquired about the product portfolio, type of recommendations preferred and any particular needs. Based on that a recommendations’ dynamic was created. One that was created to not require confidential or protected data and can do with the information on clients that was permitted (which varied vastly from client to client). To substitute that, the team deployed a solution with the use of Google Analytics. Simultaneously data was scraped from websites and the front-end solutions were prepared. Based on data, recommendations were prepared and a demo was created. Improvements were made based on feedback received from the trial and a final solution was prepared. After integration, a portal access was provided, so that the client could easily see the profit from the recommendations.

For this case our developer worked with the client’s in-house SCRUM  team as a team extension. They delivered this to the client of the company that hired us.