Create a Catering AI Intake and Quote System in Enter for a U.S.-based multi-kitchen catering business. Help the team take an event inquiry from customer intake through missing-information follow-up, routing to the nearest kitchen and a sales owner, kitchen capacity review, and a quote that can only be sent once the current requirements are confirmed.

[TARGET USERS]
- Customer / Event Organizer: Submit an inquiry through a guided form or AI assistant, answer follow-up questions, and track their own orders and quotes.
- Sales Coordinator: Review the pipeline, resolve missing information, confirm requirements, build quotes from approved packages, and send them.
- Kitchen Manager: Review lead time, delivery or pickup, prep load, and dietary or allergen feasibility; approve, request an adjustment, or reject with notes.
- Administrator: Maintain packages, menu items, kitchens, service areas, capacity rules, and user access.

[CORE WORKFLOW]
1. Collect event type, date and time, guest count, budget, venue and address, delivery or pickup, menu preferences, dietary needs, allergen concerns, and contact details. Show quote readiness and the required fields still missing.
2. Let an AI assistant summarize the inquiry, list missing information, suggest follow-up questions, and recommend packages that fit guest minimums and stated needs, without inventing missing details.
3. Route the inquiry to the nearest kitchen and a named sales owner, and record the routing basis, SLA, and any policy exceptions.
4. Let the kitchen manager review capacity separately from sales qualification and record a decision with notes.
5. Let the sales coordinator confirm the current requirements and notify the kitchen. Build a quote from approved packages with add-ons and discounts, and block sending until both sales and kitchen reviews are current.

[CORE PAGES]
- Lead Dashboard: New, urgent, and quote-ready inquiries, pipeline value, readiness, SLA, and status.
- Lead Detail: Customer and event details, AI summary, missing information, follow-up questions, recommended packages, event team, sales and kitchen review states, and activity history.
- Routing & Qualification: Assigned kitchen and sales owner, qualification signals, and SLA.
- Quote Workspace: Package builder, included menu, optional upgrades, discount, quote summary, kitchen gate, and follow-up draft.
- Kitchen Task Queue and Capacity Review: Fulfillment checks, decisions, adjustments, and notes.
- Customer Intake and My Orders: Guided form, AI assistant, and the customer's own requests and quotes.
- Data Management: Packages, menu items, kitchens, service areas, capacity rules, and users.

[DATA AND BUSINESS RULES]
- Use stable IDs to link customers, inquiries, kitchens, sales owners, requirement versions, kitchen reviews, quotes, and activity.
- Use USD and U.S. date and address conventions. Package total = price per guest x guest count + add-ons - discount; show the formula.
- Treat AI summaries, follow-up questions, and package recommendations as suggestions. Never invent guest splits, allergen details, prices, or capacity, and never send messages automatically.
- Dietary and allergen feasibility, including cross-contact, must be confirmed by an authorized kitchen manager.
- Capacity checks are advisory; the kitchen manager makes the decision. Sales confirmation and kitchen review must both be current before a quote is sent, and requirement changes need re-approval.
- Include a demo case: Alex Morgan, executive luncheon, 36 guests, Sep 11, 2026 at 10:00, pickup at Pearl District Loft, Portland, OR, $1,532 budget, vegetarian and gluten-free needs, and a tree-nut allergy. Readiness is 88%; it is routed to Pearl District Kitchen and Olivia Reed; lead time is flagged as too short but capacity is approved; requirements are not yet confirmed, so an Executive Lunch quote of $1,152 cannot be sent.

[VISUAL DIRECTION AND DELIVERABLES]
- Use a warm, trustworthy hospitality workspace with clear role entry points, readable cards, and visible status labels.
- Support desktop and mobile, including a guided customer intake on mobile.
- Use clearly labelled demo data with consistent IDs and dates, USD amounts, and U.S. date conventions.
- Deliver a publishable demo with shared demo accounts for Customer, Sales Coordinator, and Kitchen Manager, and one traceable inquiry-to-quote journey.

Before building, provide a requirements summary, missing information, page architecture, data model, quote calculation rules, role permissions, state transitions, and acceptance criteria. Do not begin generating pages yet.