When is it more beneficial to optimize an existing process instead of replacing it entirely?

Optimization is often better when:

• The Core Process Works: The fundamentals are sound, but execution is inefficient.

• Cost Constraints Exist: Full overhauls are expensive; tweaks are more affordable and faster.

• High Adoption Exists: Employees and customers are familiar and comfortable with the process.

• Quick Wins Are Needed: Incremental improvements deliver results faster.

• Technology Can Enhance It: Automating or digitizing parts may fix inefficiencies without changing the whole system.

• Low Risk Appetite: In regulated environments, complete changes may be risky or non-compliant.

Example: A retail company may optimize its order fulfillment process with barcode scanning instead of revamping its entire inventory system.

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