Lost modifiers (“no spicy”, allergies)
How: Modifiers are captured once, attached to the line item, highlighted to the kitchen, and checked again at “ready/delivered”.
Why it matters: Fewer remakes, safer service, happier guests.
“Did the waiter tell the chef?” ambiguity
How: Every step has an explicit confirm: Requested → Sent → Accepted → Ready → Delivered.
Why: Clear ownership and an instant audit trail.
Waiter overload & memory gaps
How: AI nudges for missing info (e.g., spice level), reminds open tables, and tracks assignments.
Why: Fewer walk-backs, less stress, better pacing.
Kitchen noise & ticket clutter
How: Chef view shows only SENT items; staging items stay out until confirmed.
Why: The line works on what’s truly committed.
Long waits to get a waiter’s attention
How: Guests tap “Need help” or chat; requests route to the assigned waiter/role with context.
Why: Faster turns, better experience.
Split checks pain
How: One-tap split with QR links or pay-by-person; each payer sees their items + tip.
Why: Smooth finishes and quicker table resets.
Payment friction & walk-outs
How: Mobile Stripe checkout with line-item metadata; waiter/chef stay focused on service.
Why: Faster closeouts; fewer abandoned tabs.
Language barriers
How: Visual menu, translated prompts, and AI clarifiers for allergens/spice/ingredients.
Why: Accuracy across languages without slowing the floor.
“86” items still getting sold
How: Real-time flags in the menu and AI suggestions for replacements.
Why: Fewer apologies; fewer comps.
Who owns this table?
How: Table assignment, waiter pill, and role-aware routing.
Why: Clear accountability, less cross-talk.
Training new staff
How: Micro-prompts during the flow (“ask about spice,” “confirm doneness”).
Why: Faster ramp-up with consistent standards.
Disputes & comps without context
How: Item-level timelines show who said what and when.
Why: Fair resolutions based on facts.
Paper tickets & double entry
How: One source of truth from guest to kitchen to checkout.
Why: Fewer errors, lower labor drag.
Pacing & bottlenecks
How: Timers and heat-maps for aging items; gentle nudges to the right role.
Why: Smoother service at peak.
Missed upsells & promos
How: Context-aware prompts suggest add-ons (sides, drinks, desserts) based on item, time of day, and stock; auto-applies bundles/coupons when eligible.
Why: Higher check average without pushy scripts; consistent offer execution with less cognitive load on staff.
