Solving product profitability challenges for BoschBosch
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.
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.
