CIQ Navigation Header
Multi-customer, multi-restaurant navigation – Enables authorized users to quickly switch between different customers and individual restaurant locations from a single CIQ GM Copilot interface, supporting both single-unit and multi-unit restaurant organizations.
Revenue-channel selection – Allows managers to analyze performance by specific revenue channels such as Dine-In, Takeout/Delivery, Events, Bar, or Retail, helping isolate operational trends and opportunities that may be hidden in consolidated results.
Context-aware dashboard experience – Keeps the selected customer, restaurant, revenue channel, and business date as the operating context for the CIQ modules, so users can move between analyses without repeatedly redefining their scope.
Centralized access to core CIQ modules – Provides one-click navigation to Daily Planning Brief, Sales, Labor, Menu, Servers, Ask CIQ, and Reports, creating a single operational workspace for the restaurant GM.
Role-focused workflow for General Managers – Organizes CIQ around the daily decisions a GM actually makes—planning the day, monitoring sales, controlling labor, evaluating menu performance, reviewing server productivity, and investigating exceptions.
Integrated AI assistance through Ask CIQ – Gives managers direct access to CIQ’s AI copilot for questions about restaurant performance, trends, forecasts, and operational issues without requiring them to manually search through reports.
Scalable foundation for restaurant groups – The customer → restaurant → revenue channel hierarchy provides a configuration-driven navigation model that can scale from a single restaurant to large multi-location, multi-concept restaurant groups while maintaining a consistent user experience.
Culinary IQ (CIQ) is already built and has been tested using actual restaurant operating data. Below are actual screen shots of the CIQ system, which consolidates daily planning, sales, labor, staffing, menu performance, forecasting, and operational intelligence into a single daily management view.
One-page daily operating brief – Consolidates the most important sales, labor, staffing, menu, and market intelligence into a single management view, reducing the need to review multiple reports and systems.
AI-generated daily headlines and recommended actions – Highlights the most important operating conditions for the day and translates the data into specific actions the GM can take before service begins.
Meal-level sales and demand forecasts – Provides all meals' revenue, orders, and guest forecasts, with explanatory narratives that identify expected demand changes and potential operational impact.
Labor and staffing optimization – Compares projected labor performance with historical benchmarks and recommends appropriate numbers of hosts, servers, and bartenders by meal period to help control labor costs while maintaining service levels.
Menu preparation guidance – Identifies expected high- and low-demand menu items, provides preparation guidance, and uses the Top 10 Menu Items Heatmap to show when demand is likely to occur during service.
External demand intelligence – Incorporates city-wide factors such as weather, major events, hotel occupancy, tourism, and local conditions that may materially affect restaurant traffic and daily demand.
Transforms forecasting into a daily GM action plan – Combines internal restaurant data and external demand signals into a concise operational playbook, helping managers make better decisions about staffing, prep, purchasing, and service execution before the day starts.
CIQ Daily Planning Brief
AI-powered sales diagnostics – Automatically summarizes changes in sales, orders, guests, and average guest spend across the business date, prior week, WTD, and MTD, helping managers identify performance issues without manually interpreting multiple reports.
Root-cause analysis and recommended actions – Goes beyond reporting results by explaining likely drivers behind sales performance and presenting prioritized management actions with defined time horizons such as “today” or “before next shift.”
Meal-level performance analysis – Allows the GM to switch between Lunch and Dinner views so sales trends, demand patterns, and operational issues can be evaluated for the specific meal period where they occur.
Actual-versus-forecast tracking – Compares actual sales, orders, and guest counts with CIQ forecasts and calculates the variance, enabling managers to quickly determine whether demand is running above or below expectations.
Comprehensive comparative metrics – Presents current performance alongside Prior Week, WTD, Prior WTD, MTD, and Prior MTD benchmarks, providing both short-term and cumulative context for management decisions.
30-day demand and sales trend visualization – Integrates sales, orders, guest counts, and rolling sales averages into a single trend chart, making it easier to identify demand cycles, anomalies, momentum, and sustained changes in restaurant performance.
Transforms sales reporting into decision support – Combines historical comparisons, forecasts, trend analytics, diagnostics, and actionable recommendations in one dashboard, helping the GM move quickly from “What happened?” to “Why did it happen?” to “What should I do next?”
CIQ Sales Performance
AI-powered labor diagnostics – Summarizes FOH labor, BOH labor, total labor cost, and labor percentage of sales, immediately highlighting whether staffing and labor spend are above or below operational targets.
Root-cause analysis with management actions – Converts labor variances into specific operational guidance, such as validating service coverage or protecting peak staffing periods, with clear priorities and time horizons.
Meal-level labor analysis – Enables managers to evaluate all meals' labor performance separately, making it easier to identify where overstaffing, understaffing, or productivity issues are occurring.
FOH and BOH cost visibility – Separates Front-of-House and Back-of-House labor costs while also showing total labor, helping managers understand which part of the operation is driving labor performance.
Actual-versus-forecast monitoring – Compares actual FOH, BOH, and total labor costs against CIQ forecasts and calculates the variance, allowing managers to quickly identify unexpected labor spending before it becomes a larger cost issue.
Daily, WTD, and MTD benchmarking – Compares current labor performance with Prior Week, Prior WTD, and Prior MTD results, giving managers both immediate and cumulative visibility into labor cost trends and productivity.
30-day labor productivity trend analysis – Visualizes FOH labor, BOH labor, total labor, rolling averages, and labor percentage of sales over time, helping GMs distinguish isolated variances from persistent staffing or productivity trends and make better scheduling decisions.
CIQ Labor Performance
CIQ Menu Performance
AI-powered menu diagnostics – Automatically identifies positive movers, negative movers, and at-risk menu items, giving managers an immediate view of where menu performance is improving or deteriorating.
Actionable menu recommendations – Converts item-level performance into specific actions such as Promote, Watch, Remove or Reprice, Prep/Purchase Alert, and Management Alerts, helping GMs move directly from analysis to execution.
Top and bottom item performance rankings – Ranks menu items by both quantity sold and revenue generated, making it easy to distinguish high-volume sellers from high-value revenue contributors and identify underperforming items.
Prior-period trend comparisons – Shows percentage changes in item quantity and revenue versus the prior week, allowing managers to quickly identify accelerating demand, declining popularity, and emerging menu trends.
30-day item-level trend analysis – Visualizes cumulative sales performance for the top menu items over a 30-day period, helping managers determine whether an item's performance is sustained, seasonal, or driven by short-term spikes.
Menu mix and revenue concentration visibility – Pie charts and trend analyses show how much each leading menu item contributes to overall quantity and revenue, helping management understand which products are driving the business.
Menu-group intelligence – Allows managers to analyze different menu categories such as menu items, food groups and wine independently, providing category-specific insight instead of relying only on consolidated menu results.
Food-group sales analysis – Tracks sales across broader food categories and displays their contribution to total restaurant sales over time, helping managers identify shifts in customer preferences and optimize menu mix.
Beverage attachment-rate monitoring – Measures how frequently beverages are attached to orders and compares performance with prior periods, providing a direct indicator of upselling effectiveness and an opportunity to increase average guest spend.
Top/Bottom Selling Wines – Measures the highest and lowest selling wines. CIQ helps GMs identify the optimal wine combinations to maximize revenue.
Supports pricing, purchasing, and preparation decisions – By combining item velocity, revenue, pricing, historical trends, menu mix, and AI recommendations, CIQ helps GMs make better decisions about promotion, pricing, inventory purchasing, kitchen prep, menu engineering, and item rationalization.
CIQ Server Performance
AI-powered server diagnostics – Automatically identifies top performers, coaching opportunities, and potential productivity concerns, giving the GM an immediate view of where individual server performance requires recognition or intervention.
Action-oriented coaching recommendations – Converts performance data into specific management actions, such as coaching lower-performing servers or using top performers as peer examples, with clear priorities and recommended time horizons.
Comprehensive individual server scorecards – Tracks key metrics including hours worked, orders, sales, guests served, productivity sales, productivity checks, effective sales per guest, and effective sales per check in one consolidated view.
Productivity and selling-effectiveness analysis – Evaluates both how much each server produces and how effectively they generate revenue per guest and per transaction, helping managers distinguish high activity from high-quality sales performance.
Performance classification and coaching labels – Categorizes employees as Top Performer, Stable, or Coaching Opportunity, simplifying daily performance reviews and helping managers focus coaching resources where they will have the greatest impact.
Prior-week trend monitoring – Shows changes in productivity, effective sales, and related measures versus the prior week, allowing managers to identify improving, declining, or inconsistent server performance before problems become persistent.
Benchmark-based performance management – Compares server results against operational benchmarks to support more objective decisions about coaching, recognition, scheduling, training, and deployment of stronger servers during high-demand meal periods.
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