Results of the Sales Lead Qualifier with SumUp (Video and Report, Winter 2023/24 Project)
This project is one of six Scrum projects with industry partners that were part of the Winter 2023/24 AMOS Projects. Below please find the video (you may also like the other videos) and the project summary which details the final result of the project. We run these projects every semester, so please be in touch if you would like to motivate one of your own!
Demo Video
Project Summary
| Project name | SumInsights (Sales Lead Qualifier) |
| Project mission | The mission of this project is to enrich historical data about customers and recent data about leads (with information from external sources) and to leverage the enriched data in machine learning, so that the estimated life-time value of leads can be predicted. |
| Industry partner | SumUp |
| Team Logo |  |
| Project summary | SumUp receives many inquiries from potential customers, known as leads. To simplify the process, leads only need to provide their email and telephone number. SumUp wants us to collect more data on the leads and prioritize the most suitable ones that fit the Point of Sales solution. To achieve this, we created 1) a pipeline to collect lead data based only on basic contact information, and 2) a machine learning framework with multiple available models to classify merchant size. As a result, we were able to enrich 75% of the lead entries and achieve an F1 score of 64%. Two working student positions resulted from the strong collaboration of AMOS and our Industry Partner. This will ensure that the concluding efforts of integrating our project with the infrastructure at SumUp are handled appropriately. |
| Project illustration |  |
| Team photo |   |
| Project repository | https://github.com/amosproj/amos2023ws06-sales-lead-qualifier |
| Additional information | Please feel free to contact and reach out to us regarding the project outcome, potential follow up ideas and questions regarding the project. |