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THE OUTSIDE-IN PLANNING HANDBOOK | 2023
Recognize that unlearning must come before change management. Continuously challenge existing paradigms. The unlearning in Table 9 is a good place to start.
Table 9. Class Unlearning
Order or shipment data is not a good proxy for demand.
Added steps for “collaboration in S&OP” adds process latency.
Shift from a focus on error and bias in forecasting to flow.
Don’t confuse signal generation with visibility.
Too many alerts without intelligence add noise and confusion.
We don’t have end-to-end planning processes.
Manufacturing is not the only constraint. Need for bi-directional orchestration across source, make, and deliver.
Business leaders need to figure out what to do next. How do you start?
Data does not have to be perfect.
The need for price/volume trade-offs.
How do we define effective “what-if” frameworks?
The efficient supply chain is not the most effective -- the movement from a cost-based agenda to margin.
What-if for demand to visualize the impact of demand shaping.
We need to know how good the model is - building trust in the process/system.
There is a need for a visibility.decision layer to democratize planning.
Importance of form and function of inventory analysis.
Outside-in models are built by design. They are not an evolution.
Sharing of forecasts across trading partners is fool’s play.
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