Solving product profitability challenges for Bosch
Empowering Profitability with Data-Driven Solutions
Overview -
The Project Brief
Bosch is a German multinational engineering and technology company specializing in mobility, consumer goods, industrial technology and energy building technology. Bosch’s automotive aftermarket sales division needed to understand how profitable their products were for its American business customers.
Opportunity -
Advanced Analytics
Bosch saw an advantage in leveraging the power of predictive analytics and geo-data visualisation to expand and improve their existing data analytical tools.
This project helped us reach students in ways we never imagined.
They also wanted to demonstrate the improvements that this could provide for sales performance but needed additional resources with expertise in advanced techniques.
Solution -
Data-driven MVP
Bosch connected with DePaul Innovation Development Laboratory (iD Lab) over this opportunity space to discuss potential solutions.
Solution 1
We suggested a data-driven approach to create an MVP application for their purposes. We created datasets for Bosch products that could be examined by time and geography.
Solution 2
Then, we used predictive analytics modelling to analyze historical data and provide future projections. Finally, we designed a unique and interactive map-based interface that provided enhanced visualizations for quick processing of data on several geographic levels.
Solution 3
MVP desktop application with fully functional and interactive dashboards which includes visualization, sales forecasts, and reporting.
The Impact -
Our MVP empowers Bosch's automotive aftermarket sales
Bosch tests iD Lab MVP for regional sales improvement, strengthening capabilities with advanced analytics and visualizations, leading to successful production of the desktop application.
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