Sooner or later, your automation systems will begin making recommendations.
Recommendation systems are automation wrapped in suggestion. They take inputs such as orders, ratings, preferences, timing, location, and similar users. Then they return a recommended next action.
In food, that might be a meal, recipe, grocery item, or restaurant.
The important design question is whether the system remains a recommendation engine or quietly becomes a decision engine.
What does traceability look like in your recommendation workflows?
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