Insights and actions

Using Microsoft Azure, the Coolies data team was able to design, build, and deploy the solution quickly and easily. Within two weeks, the team found a number of key insights that can help Coolies increase its profit margins. Three of these insights are listed in here:

Reducing waste by 18%

Description: With initial modeling, the Coolies data team was able to reduce waste by 18%. Currently, the organization loses close to $46M per year because of overstocking products with short shelf lives. This includes products such as bread and milk. The team combined historical sales data with other sources, such as weather data and school calendars, which allowed the team to predict the demand for these products with higher accuracy, leading to a significant reduction in waste.

Estimated business value: $8.28 million/year

Key data sources: Sales transactions (online and physical store), store data (store locations and stock over time), weather data, suburb profile...