1. In the previous problem, assume that your team has successfully implemented a solution for process automating the route planning process. The company still processes sales orders received between 3:00pm to 5:00pm as rush orders. The RDC's past data shows that the company receives about five to ten rush orders per day. By the end of the day, the dispatcher reroutes the orders by appending or inserting or adding a new route, to accommodate the rush orders. This causes a heavy unloading and reloading of trucks, resulting in overtime costs and energy. The company wishes to reduce this nervousness.

Business Problem Framing:

1. For the second iteration of the problem, who are the possible stakeholders?
2. Is the problem amenable to analytics solutions?
3. What are the constraints from the business' perspective?
4. What are the possible business benefits if an analytics solution is provided?

Analytics Problem Framing:

1. What assumptions would you make to make the business problem into an analytics problem?
2. What possible key metrics to measure success would you define?
3. Propose a set of drivers and outputs
4. Redefine the problem as an Analytics Problem