Premium / business-class plate composition and garnish placement
For premium and business cabins, food is plated to a restaurant-style 'master plate' standard, with proteins arranged and delicate garnishes, herbs, sauces and accompaniments positioned for visual presentation. The objects are fragile and deformable (sprigs, sliced fruit, soft desserts, plated proteins) and presentation quality is the product, so each placement must avoid bruising, tearing or disturbing surrounding components. This task sits at the high-value end of the catering line, is lower-volume than economy plating but far less tolerant of sloppy appearance, and is currently entirely manual skilled work. It is difficult for a robot because each garnish has unique, soft, slippery geometry and must be gently picked and precisely placed in an aesthetically exact spot. No LSG-specific automation signal exists for this premium plating step, so demand is inferred from the general fine-plating workload. We identified this through our own research; we have not confirmed the specifics with the customer directly. This page is our researched read — a starting point for that conversation.
What the task is
RESEARCHED · our reconstructionFor premium and business cabins, food is plated to a restaurant-style 'master plate' standard, with proteins arranged and delicate garnishes, herbs, sauces and accompaniments positioned for visual presentation. The objects are fragile and deformable (sprigs, sliced fruit, soft desserts, plated proteins) and presentation quality is the product, so each placement must avoid bruising, tearing or disturbing surrounding components. This task sits at the high-value end of the catering line, is lower-volume than economy plating but far less tolerant of sloppy appearance, and is currently entirely manual skilled work. It is difficult for a robot because each garnish has unique, soft, slippery geometry and must be gently picked and precisely placed in an aesthetically exact spot. No LSG-specific automation signal exists for this premium plating step, so demand is inferred from the general fine-plating workload.
Is this the actual task and sequence? What are the real tolerances, cycle rate, and reject criteria, and which steps are today's manual bottleneck? Answering these is what turns this from a researched signal into a validated use case.