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To revolutionize restaurant operations by providing an integrated, intelligent, and intuitive platform that streamlines every aspect of the dining experience, from reservation to payment, inventory to staff management. Our vision is to empower restaurant owners and staff with real-time insights and automation, enhancing efficiency, profitability, and customer satisfaction, ultimately fostering sustainable growth in a competitive industry.
The "DineFlow Pro" system offers a unified digital ecosystem that eliminates operational silos and manual inefficiencies. It provides:
* Enhanced Operational Efficiency: Automates table management, order routing, and inventory tracking, drastically reducing human error and wait times.
* Superior Customer Experience: Facilitates seamless online reservations, personalized loyalty programs, and efficient service delivery, leading to higher customer retention.
* Data-Driven Decision Making: Delivers comprehensive analytics on sales, inventory, staff performance, and customer trends, enabling owners to make informed strategic choices.
* Reduced Costs & Waste: Optimizes inventory levels, minimizes food waste, and improves staff scheduling, directly impacting the bottom line.
* Scalable & Adaptable: A modular architecture designed to grow with the restaurant, easily integrating new features and adapting to evolving business needs.
Restaurantsrestaurant_id (UUID, Primary Key)name (VARCHAR(255), NOT NULL)address (TEXT, NOT NULL)phone_number (VARCHAR(20))email (VARCHAR(255))website (VARCHAR(255))cuisine_type (VARCHAR(100))capacity (INTEGER, DEFAULT 0)operating_hours_json (JSONB) -- e.g., { "Mon": "09:00-22:00", ... }created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)updated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)Usersuser_id (UUID, Primary Key)restaurant_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Restaurants(restaurant_id))first_name (VARCHAR(100), NOT NULL)last_name (VARCHAR(100), NOT NULL)email (VARCHAR(255), UNIQUE, NOT NULL)password_hash (VARCHAR(255), NOT NULL)role (ENUM('Owner', 'Manager', 'Chef', 'Server', 'Host'), NOT NULL)phone_number (VARCHAR(20))hire_date (DATE)is_active (BOOLEAN, DEFAULT TRUE)profile_picture_url (TEXT)created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)updated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)Tablestable_id (UUID, Primary Key)restaurant_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Restaurants(restaurant_id))table_number (VARCHAR(50), NOT NULL)capacity (INTEGER, NOT NULL)location_description (VARCHAR(255))current_status (ENUM('Available', 'Seated', 'Occupied', 'Awaiting_Service', 'Awaiting_Bill', 'Awaiting_Cleaning', 'Reserved'), DEFAULT 'Available')is_active (BOOLEAN, DEFAULT TRUE)created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)updated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)Menu_Categoriescategory_id (UUID, Primary Key)restaurant_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Restaurants(restaurant_id))name (VARCHAR(100), NOT NULL)description (TEXT)display_order (INTEGER, DEFAULT 0)is_active (BOOLEAN, DEFAULT TRUE)Menu_Itemsitem_id (UUID, Primary Key)restaurant_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Restaurants(restaurant_id))category_id (UUID, FOREIGN KEY REFERENCES Menu_Categories(category_id))name (VARCHAR(255), NOT NULL)description (TEXT)price (DECIMAL(10, 2), NOT NULL, CHECK (price >= 0))image_url (TEXT)is_available (BOOLEAN, DEFAULT TRUE)preparation_time_minutes (INTEGER)allergens_json (JSONB) -- e.g., ["gluten", "dairy"]created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)updated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)Modifiersmodifier_id (UUID, Primary Key)restaurant_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Restaurants(restaurant_id))name (VARCHAR(100), NOT NULL)price_adjustment (DECIMAL(10, 2), DEFAULT 0.00)is_active (BOOLEAN, DEFAULT TRUE)type (ENUM('Add_On', 'No_Option', 'Size'), DEFAULT 'Add_On') -- e.g., 'Extra Cheese', 'No Onions', 'Large'is_required (BOOLEAN, DEFAULT FALSE)Menu_Item_Modifiers (Many-to-Many through explicit linking)item_modifier_id (UUID, Primary Key)item_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Menu_Items(item_id))modifier_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Modifiers(modifier_id))created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)item_id, modifier_id)Ordersorder_id (UUID, Primary Key)restaurant_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Restaurants(restaurant_id))table_id (UUID, FOREIGN KEY REFERENCES Tables(table_id))customer_id (UUID, NULL, FOREIGN KEY REFERENCES Customers(customer_id)) -- For registered customers or reservationsserver_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Users(user_id))order_time (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)status (ENUM('Pending', 'Preparing', 'Ready_For_Pickup', 'Served', 'Cancelled', 'Paid'), DEFAULT 'Pending')total_amount (DECIMAL(10, 2), DEFAULT 0.00)discount_amount (DECIMAL(10, 2), DEFAULT 0.00)tax_amount (DECIMAL(10, 2), DEFAULT 0.00)payment_status (ENUM('Unpaid', 'Partially_Paid', 'Paid'), DEFAULT 'Unpaid')notes (TEXT)last_updated_by (UUID, FOREIGN KEY REFERENCES Users(user_id))updated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)Order_Itemsorder_item_id (UUID, Primary Key)order_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Orders(order_id))item_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Menu_Items(item_id))quantity (INTEGER, NOT NULL, CHECK (quantity > 0))unit_price (DECIMAL(10, 2), NOT NULL) -- Price at the time of orderitem_total (DECIMAL(10, 2), NOT NULL)special_instructions (TEXT)kitchen_status (ENUM('Pending', 'Preparing', 'Cooked', 'Served', 'Cancelled_Item'), DEFAULT 'Pending')created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)updated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)Order_Item_Modifiers (Links specific order items to chosen modifiers)order_item_modifier_id (UUID, Primary Key)order_item_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Order_Items(order_item_id))modifier_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Modifiers(modifier_id))price_adjustment (DECIMAL(10, 2), DEFAULT 0.00) -- Price at time of ordercreated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)Paymentspayment_id (UUID, Primary Key)order_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Orders(order_id))payment_method (ENUM('Cash', 'Card', 'Mobile_Pay', 'Gift_Card'), NOT NULL)amount (DECIMAL(10, 2), NOT NULL, CHECK (amount > 0))transaction_id (VARCHAR(255), UNIQUE) -- From payment gatewaypayment_date (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)server_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Users(user_id))tip_amount (DECIMAL(10, 2), DEFAULT 0.00)Reservationsreservation_id (UUID, Primary Key)restaurant_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Restaurants(restaurant_id))customer_id (UUID, FOREIGN KEY REFERENCES Customers(customer_id))guest_name (VARCHAR(255), NOT NULL)guest_phone (VARCHAR(20))guest_email (VARCHAR(255))party_size (INTEGER, NOT NULL, CHECK (party_size > 0))reservation_time (TIMESTAMP WITH TIME ZONE, NOT NULL)duration_minutes (INTEGER, DEFAULT 90)status (ENUM('Pending', 'Confirmed', 'Seated', 'Cancelled', 'No_Show'), DEFAULT 'Pending')notes (TEXT)assigned_table_id (UUID, NULL, FOREIGN KEY REFERENCES Tables(table_id))created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)updated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)Waitlist_Entrieswaitlist_id (UUID, Primary Key)restaurant_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Restaurants(restaurant_id))guest_name (VARCHAR(255), NOT NULL)guest_phone (VARCHAR(20))party_size (INTEGER, NOT NULL, CHECK (party_size > 0))arrival_time (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)estimated_wait_minutes (INTEGER)status (ENUM('Waiting', 'Seated', 'Cancelled', 'No_Show'), DEFAULT 'Waiting')seated_time (TIMESTAMP WITH TIME ZONE)assigned_table_id (UUID, NULL, FOREIGN KEY REFERENCES Tables(table_id))Customers (CRM)customer_id (UUID, Primary Key)restaurant_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Restaurants(restaurant_id))first_name (VARCHAR(100), NOT NULL)last_name (VARCHAR(100))email (VARCHAR(255), UNIQUE)phone_number (VARCHAR(20), UNIQUE)loyalty_points (INTEGER, DEFAULT 0)total_visits (INTEGER, DEFAULT 0)last_visit (DATE)dietary_preferences_json (JSONB) -- e.g., ["vegetarian", "nut-allergy"]notes (TEXT)created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)updated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)Loyalty_Programsprogram_id (UUID, Primary Key)restaurant_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Restaurants(restaurant_id))name (VARCHAR(255), NOT NULL)description (TEXT)points_per_currency (DECIMAL(10, 2), DEFAULT 1.00) -- e.g., 1 point per $1 spentis_active (BOOLEAN, DEFAULT TRUE)created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)Rewardsreward_id (UUID, Primary Key)program_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Loyalty_Programs(program_id))name (VARCHAR(255), NOT NULL)description (TEXT)points_cost (INTEGER, NOT NULL, CHECK (points_cost > 0))discount_value (DECIMAL(10, 2)) -- e.g., $5 offitem_id (UUID, FOREIGN KEY REFERENCES Menu_Items(item_id)) -- e.g., Free Dessertis_active (BOOLEAN, DEFAULT TRUE)created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)Inventory_Items (Raw ingredients or sellable items)inventory_item_id (UUID, Primary Key)restaurant_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Restaurants(restaurant_id))name (VARCHAR(255), NOT NULL)unit_of_measure (VARCHAR(50), NOT NULL) -- e.g., 'grams', 'ml', 'pieces', 'kg', 'liter'current_stock (DECIMAL(10, 3), NOT NULL, DEFAULT 0.000)reorder_point (DECIMAL(10, 3), DEFAULT 0.000)average_cost (DECIMAL(10, 2), DEFAULT 0.00)supplier_id (UUID, NULL, FOREIGN KEY REFERENCES Suppliers(supplier_id))category (VARCHAR(100)) -- e.g., 'Produce', 'Dairy', 'Meat', 'Beverage'expiry_date_tracking_required (BOOLEAN, DEFAULT FALSE)created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)updated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)Menu_Item_Ingredients (Recipes - Many-to-Many for Menu_Items and Inventory_Items)recipe_id (UUID, Primary Key)item_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Menu_Items(item_id))inventory_item_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Inventory_Items(inventory_item_id))quantity_used (DECIMAL(10, 3), NOT NULL) -- How much of the ingredient is used per menu itemunit_of_measure (VARCHAR(50), NOT NULL) -- The unit for quantity_usedcreated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)item_id, inventory_item_id)Supplierssupplier_id (UUID, Primary Key)restaurant_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Restaurants(restaurant_id))name (VARCHAR(255), NOT NULL)contact_person (VARCHAR(255))phone_number (VARCHAR(20))email (VARCHAR(255))address (TEXT)notes (TEXT)created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)Purchase_Orderspo_id (UUID, Primary Key)restaurant_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Restaurants(restaurant_id))supplier_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Suppliers(supplier_id))order_date (DATE, DEFAULT CURRENT_DATE)expected_delivery_date (DATE)actual_delivery_date (DATE)status (ENUM('Pending', 'Ordered', 'Partially_Received', 'Received', 'Cancelled'), DEFAULT 'Pending')total_cost (DECIMAL(10, 2), DEFAULT 0.00)created_by (UUID, FOREIGN KEY REFERENCES Users(user_id))created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)updated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)Purchase_Order_Itemspo_item_id (UUID, Primary Key)po_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Purchase_Orders(po_id))inventory_item_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Inventory_Items(inventory_item_id))ordered_quantity (DECIMAL(10, 3), NOT NULL, CHECK (ordered_quantity > 0))received_quantity (DECIMAL(10, 3), DEFAULT 0.000)unit_cost (DECIMAL(10, 2), NOT NULL)line_total (DECIMAL(10, 2), NOT NULL)expiry_date (DATE) -- If tracking expiry dates for this specific batchStaff_Schedulesschedule_id (UUID, Primary Key)restaurant_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Restaurants(restaurant_id))user_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Users(user_id))shift_date (DATE, NOT NULL)start_time (TIME WITH TIME ZONE, NOT NULL)end_time (TIME WITH TIME ZONE, NOT NULL)role (ENUM('Owner', 'Manager', 'Chef', 'Server', 'Host'), NOT NULL)notes (TEXT)created_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)updated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)Time_Clocksclock_id (UUID, Primary Key)user_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Users(user_id))restaurant_id (UUID, NOT NULL, FOREIGN KEY REFERENCES Restaurants(restaurant_id))clock_in_time (TIMESTAMP WITH TIME ZONE, NOT NULL)clock_out_time (TIMESTAMP WITH TIME ZONE)status (ENUM('Clocked_In', 'Clocked_Out', 'Break'), DEFAULT 'Clocked_In')shift_date (DATE, NOT NULL) -- Derived from clock_in_time for easy lookupcreated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)updated_at (TIMESTAMP WITH TIME ZONE, DEFAULT CURRENT_TIMESTAMP)created_at and updated_at are automatically managed by the system.restaurant_id is a mandatory foreign key for most operational tables, ensuring data segmentation per restaurant.Owner: Full access to all modules, including restaurant settings, financial reports, and user management.Manager: Full access to staff, inventory, menu, table, order, reservation, and limited access to reporting. Cannot alter owner-level settings or user roles.Chef: Access to KDS, inventory levels, recipe management. Limited view of orders (kitchen-relevant only).Server: Access to specific table management (their assigned tables), order taking, payment processing. No access to inventory or staff scheduling.Host: Access to table management, waitlist, reservation management. View-only access to floor plan.Available -> Reserved (by reservation) -> SeatedAvailable -> Seated (by walk-in/host)Seated -> Occupied (once order is placed)Occupied -> Awaiting_Bill (order finalized)Awaiting_Bill -> Awaiting_Cleaning (payment complete)Awaiting_Cleaning -> Available (after cleaning)Pending (new order) -> Preparing (kitchen starts) -> Ready_For_Pickup (for takeaway/delivery) / Served (for dine-in) -> Paid -> Completed.Cancelled at any Pending or Preparing stage with Manager override and reason.Order_Item is marked as Preparing or Cooked or Served, associated Inventory_Items quantities are automatically decremented based on Menu_Item_Ingredients.Order_Item_total = Menu_Item.price * quantity + SUM(Order_Item_Modifiers.price_adjustment). Order.total_amount = SUM(Order_Items.item_total) + tax_amount - discount_amount.Order_Items are accounted for across split bills.Menu_Item.is_available is FALSE or an Inventory_Item associated with it is below a critical threshold, the item cannot be added to new orders by servers.Menu_Items to which they are linked via Menu_Item_Modifiers.Inventory_Items.current_stock falls below Inventory_Items.reorder_point. Alerts sent to Manager/Chef roles.Purchase_Order.status changes from 'Pending' to 'Ordered' upon confirmation.Purchase_Order_Item received_quantity updates, Inventory_Items.current_stock is incremented.Purchase_Order_Item.expiry_date is provided, it should be tracked.Purchase_Order.status changes to 'Received' when all ordered_quantity equals received_quantity for all items, or 'Partially_Received' otherwise.User role, Inventory_Item_ID, Quantity, and Reason for auditability.restaurant_id.capacity, Tables availability, and existing Reservations.reservation_time), Reservation.status can be automatically or manually changed to No_Show.Customer.loyalty_points are updated when an order linked to a Customer is Paid. Points accumulation based on Loyalty_Programs.points_per_currency.Reward reduces Customer.loyalty_points and applies the corresponding discount or free item to the current order.Feature: Intelligent Table Assignment for a Host/Manager, considering party size, table capacity, server load, and estimated wait times.
Scenario: A Host receives a walk-in party or needs to seat a confirmed reservation. The system suggests optimal tables.
Algorithm: SuggestOptimalTables(partySize, restaurantId)
Input:
* partySize: Integer, the number of guests in the party.
* restaurantId: UUID, the ID of the restaurant.
Output:
* A ranked list of Table_IDs with rationale (e.g., "Best Fit", "Optimal Server Load", "Next Available").
Steps:
Retrieve Available Tables:
Tables for restaurantId where is_active is TRUE and current_status is 'Available' or 'Awaiting_Cleaning'.table.capacity >= partySize AND table.capacity <= partySize * 1.5 (or partySize + 2 for flexibility, avoiding too large tables for small parties).potentialTables.Retrieve Current Server Load:
User with role = 'Server' working currently (Time_Clocks.status = 'Clocked_In') at restaurantId:currentOpenOrders: Number of Orders where server_id = user_id and status NOT IN ('Paid', 'Cancelled').currentTableCount: Number of Tables currently assigned to this server (via active Orders or Reservations).totalCapacityServed: Sum of Tables.capacity for tables assigned to this server.serverLoad[userId] = { openOrders, tableCount, totalCapacityServed }.Score Each Potential Table:
scoredTables = [].For each table in potentialTables:
score = 0reasons = []a. Capacity Fit (Higher is better for fit, penalty for over-sizing):
* capacity_diff = table.capacity - partySize
* If capacity_diff == 0: score += 10; reasons.add("Perfect Capacity Match")
* If capacity_diff == 1 or capacity_diff == 2: score += 7; reasons.add("Good Capacity Fit")
* If capacity_diff > 2: score -= capacity_diff * 0.5; reasons.add("Slightly Oversized")
b. Server Load Balancing (Aim for lower load, balanced distribution):
* Identify serverCandidates: Servers whose sections include table.table_id (if floor plan sections are defined, else all active servers).
* If serverCandidates is empty or not applicable, skip this step or use a default.
* Else, for each server in serverCandidates:
* Calculate loadFactor = serverLoad[server.user_id].openOrders + serverLoad[server.user_id].tableCount
* Find minLoadFactor = minimum loadFactor among all active servers.
* If loadFactor == minLoadFactor: score += 5; reasons.add("Balances Server Load")
* Else if loadFactor > minLoadFactor: score -= (loadFactor - minLoadFactor) * 1 (penalty for assigning to busy server).
c. Table Status Nuance:
* If table.current_status == 'Awaiting_Cleaning': score -= 3; reasons.add("Requires Cleaning") (implies a short delay).
* If table.current_status == 'Available': score += 2; reasons.add("Immediately Available")
d. Proximity to Other Reserved/Seated Tables (Optional for complex layouts, to cluster service):
* Could add logic to prefer tables near already active tables for a given server, reducing travel time. (Complexity TBD)
e. Reservation Assignment (if applicable):
* If table.table_id is already assigned to a Reservation for the current reservation_time and partySize matches, give highest score. score += 20; reasons.add("Pre-assigned Reservation Table")
f. Historical Turnaround Time (More complex):
* Fetch historical Table.turnaround_times for this table.capacity.
* If table.current_status == 'Awaiting_Cleaning', estimate time until available and penalize if too long.
{ table_id: table.table_id, score: score, reasons: reasons, capacity: table.capacity, current_status: table.current_status } to scoredTables.Sort and Return:
scoredTables in descending order by score.Pseudocode Example (Simplified SuggestOptimalTables function core):
FUNCTION SuggestOptimalTables(partySize, restaurantId):
potentialTables = GET_AVAILABLE_TABLES(restaurantId)
.FILTER_BY(capacity >= partySize AND capacity <= partySize * 1.5)
serverLoads = GET_CURRENT_SERVER_LOADS(restaurantId) // Map: {userId: {openOrders, tableCount}}
scoredTables = []
FOR EACH table IN potentialTables:
score = 0
reasons = []
// Capacity Fit
capacityDiff = table.capacity - partySize
IF capacityDiff == 0:
score += 10
reasons.ADD("Perfect Capacity Match")
ELSE IF capacityDiff <= 2:
score += 7
reasons.ADD("Good Capacity Fit")
ELSE:
score -= capacityDiff * 0.5 // Penalty for oversized
reasons.ADD("Slightly Oversized")
// Server Load Balancing
assignedServerId = GET_ASSIGNED_SERVER_FOR_TABLE_SECTION(table.table_id)
IF assignedServerId IS NOT NULL AND assignedServerId IN serverLoads:
currentServerLoad = serverLoads[assignedServerId].openOrders + serverLoads[assignedServerId].tableCount
minOverallLoad = MIN(load.openOrders + load.tableCount FOR load IN serverLoads.VALUES())
IF currentServerLoad == minOverallLoad:
score += 5
reasons.ADD("Balances Server Load")
ELSE IF currentServerLoad > minOverallLoad:
score -= (currentServerLoad - minOverallLoad) * 1 // Penalize busier servers
reasons.ADD("Server is Busier")
ELSE: // Handle cases where server sections are not strictly defined or server not active
// Default to minimal penalty or specific logic
pass
// Table Status
IF table.current_status == 'Awaiting_Cleaning':
score -= 3
reasons.ADD("Requires Cleaning")
ELSE IF table.current_status == 'Available':
score += 2
reasons.ADD("Immediately Available")
scoredTables.ADD({tableId: table.id, score: score, reasons: reasons, details: table})
RETURN SORT(scoredTables, DESCENDING BY score)
END FUNCTION
Considerations for Production:
* Real-time Updates: Table statuses and server loads must be updated in real-time. WebSockets could be used for instant UI updates.
* User Overrides: Host/Manager should always have the option to override system suggestions.
* Learning Algorithm (Future Enhancement): The scoring weights could be dynamically adjusted based on historical data (e.g., if tables assigned by "Perfect Capacity Match" lead to faster turnarounds).
* Floor Plan Visualization: The UI would display these suggestions directly on an interactive floor plan.
Using HSL (Hue, Saturation, Lightness) for flexibility and thematic consistency:
Primary Accent (Calls to Action, Key Highlights):
--primary-accent-500: hsl(198, 86%, 53%) (Vibrant Teal/Cyan)--primary-accent-400: hsl(198, 86%, 65%) (Lighter Teal)--primary-accent-600: hsl(198, 86%, 40%) (Deeper Teal)Secondary (Complementary UI Elements, Subtler Actions):
--secondary-400: hsl(210, 20%, 65%) (Soft Grey-Blue)--secondary-500: hsl(210, 20%, 50%) (Medium Grey-Blue)Neutrals (Backgrounds, Borders, Text):
--neutral-900: hsl(220, 15%, 15%) (Near Black, for primary text)--neutral-700: hsl(220, 10%, 30%) (Dark Grey, for secondary text)--neutral-300: hsl(220, 8%, 80%) (Light Grey, for borders, inactive elements)--neutral-100: hsl(220, 10%, 96%) (Off-white, for main backgrounds)--neutral-000: hsl(0, 0%, 100%) (Pure White, for cards, modals)Semantic Colors (Feedback, Statuses):
--success-500: hsl(120, 60%, 40%) (Green, for success messages)--warning-500: hsl(40, 90%, 55%) (Amber, for warnings)--danger-500: hsl(0, 70%, 55%) (Red, for errors)Headings & Display (Bold, Modern Sans-serif):
Body Text & UI Elements (Clean, Highly Readable Sans-serif):
Monospace (Optional, for specific data display or code-like elements):
Typography Scale (Example - will be adaptive/responsive):
H1: 3.0rem (Montserrat Bold)H2: 2.25rem (Montserrat Semi-Bold)H3: 1.75rem (Montserrat Semi-Bold)H4: 1.25rem (Montserrat Medium)Body Large: 1.125rem (Inter Regular)Body Base: 1.0rem (Inter Regular)Body Small: 0.875rem (Inter Regular)Caption: 0.75rem (Inter Medium)