Automation systems often optimize what they can easily measure:
revenue
conversion rates
upsells
profit margins
Restaurants are now experimenting with AI systems that dynamically alter pricing, menu positioning, and promotional behavior based on demand patterns and customer activity.
The technical side is relatively straightforward.
The operational side becomes harder because restaurants are human environments built around consistency, comfort, hospitality, and trust. Customers may accept optimization in airlines or stock trading while reacting negatively to similar systems in restaurants.
This Tech Tuesday article explores how mathematically successful systems can still fail operationally if invisible variables like fairness and goodwill are ignored.
#Automation #AI #ProcessEngineering