| name | 0.12.5-understand-analytics_reporting_dashboard |
| description | [0.12.5] Visual interface displaying key performance metrics and business intelligence |
understand-analytics_reporting_dashboard
CALL NUMBER: technology_and_pos.analytics_reporting_dashboard : finance_and_costing(16)
DEFINITION: Visual interface displaying key performance metrics and business intelligence
Invoke this skill to understand analytics_reporting_dashboard down to its primitives. The RELATIVE ROOT below is the least-fixed-point closure of everything it bundles from — the full import cone, grouped by the lib each prim comes from. Projected from a prover-typed KB (MAP/SWI-Prolog consistency gate): every reference below resolves.
THE RELATIVE ROOT (the import cone, by lib)
from finance_and_costing
- food_cost_percentage (d1): Cost of ingredients divided by food sales revenue
- table_turnover_rate (d1): Number of times tables are occupied per shift
- average_check (d2): Average total spent per table or party
- food_cost_per_plate (d2): Ingredient cost for single menu item
- menu_price (d2): Listed price for menu item
- seat_turnover (d2): Number of customers per seat per day
- combo_meal_cost (d3): Ingredient and labor cost of bundled meal deal
- liquor_cost_percentage (d3): Cost of spirits relative to spirit sales
- portion_cost (d3): Cost of one serving portion of item
- plate_cost (d4): Total cost of ingredients in finished dish
- pour_cost (d4): Cost of alcohol poured versus alcohol revenue
- cook_time_cost (d5): Labor cost of active cooking per item
- plating_cost (d5): Labor cost to assemble and plate finished dish
- prep_time_cost (d5): Labor cost of preparation work per item
- recipe_cost (d5): Total ingredient cost per recipe batch
- ingredient_cost (d6): Price paid for individual food ingredient
from technology_and_pos
- average_ticket_size (d1): Mean dollar amount spent per customer check including all items
- cost_accounting (d1): Detailed tracking and allocation of all restaurant operating expenses
- demand_forecasting (d1): Analysis predicting customer demand to optimize purchasing and staffing
- labor_cost_software (d1): Analytics program tracking payroll expenses as percentage of revenue
- menu_item_profitability (d1): Analysis of revenue versus cost for each menu item offering
- menu_optimization_algorithm (d1): AI analyzing sales data to recommend profitable menu item decisions
- performance_metrics_dashboard (d1): Visual display of employee KPI data including sales efficiency and ratings
- predictive_analytics (d1): Statistical techniques forecasting future outcomes based on historical data
- profit_margin_tracking (d1): Real time monitoring of net profit margins by category and time period
- revenue_management (d1): Strategic pricing and inventory control to maximize profit from available capacity
- sales_reporting (d1): Analysis of revenue by category time period item and server performance
- server_performance_tracking (d1): POS reporting on individual server sales volume tips and table efficiency
- hourly_rate_management (d2): System handling different pay rates for various job roles and shifts
- labor_hour_tracking (d2): Recording of employee work time for scheduling and payroll purposes
- labor_percentage_alerts (d2): Notifications when payroll costs approach or exceed target percentages
- overtime_tracking (d2): Monitoring hours worked beyond standard thresholds triggering premium pay
- staff_payroll_integration (d2): Direct data flow from time tracking to payroll processing system
- inventory_forecasting (d2): Algorithm predicting future stock needs based on sales trends and seasonality
- scheduling_forecast (d2): AI predicting labor needs based on historical traffic and upcoming events
CONSUMERS (what needs this)
labor_cost_software, menu_engineering_software, pos_api, pos_software, restaurant_management_software, spoilage_tracking, tip_distribution_software, waste_logging
Projected from the restaurants KB (2849 concepts / 2428 relations) — consistency-typed by MAP; the facet list after the colon IS the cross-lib dependency web.
(leaf — this is an actual skill.)
