The Ghost Kitchens Dashboard in Power BI shows where delivery money really goes: revenue, net profit, platform fees, food cost, virtual brand performance and kitchen speed, across five interactive report pages. The sample model holds 500 kitchen shifts for FY2025 with $999.1K in revenue, $203.5K in net profit, a 20.4% profit margin, 35,648 orders and an 89.0% on-time delivery rate, each card compared month on month (Dec 2025 vs Nov 2025). Point it at your own shift data, press Refresh, and every visual redraws.
Watch the Ghost Kitchens Dashboard in Power BI walkthrough
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🔑 Key Features of the Ghost Kitchens Dashboard in Power BI
💵 Profit, not just sales. Total Revenue, Net Profit, Profit Margin %, Total Orders and On-Time Delivery sit on sparkline cards with a month-on-month arrow. Net profit is revenue minus food, packaging, labour and platform fees, so the margin you see is the one you keep.
🛵 Delivery platform margins side by side. In the sample data DoorDash brings the most revenue ($309,973, 31.0%) but keeps a 16.8% margin, while your own Website (30.7%) and Direct App (30.1%) keep nearly twice that. Platform Fees ($255,246), Platform Fee % (25.5%), Direct Revenue and Direct Revenue Share % make the commission cost visible.
🍔 Virtual brand and cuisine analysis. Seven virtual brands (Wok This Way, Slice Society, Blaze Burger Co., Taco Theory, Wing Republic, Green Bowl Lab and Curry Cloud) are ranked by revenue and by Food Cost %, and seven cuisines by net profit and profit margin.
🏭 Kitchen Hub Scorecard. Eight kitchen hubs are compared on orders, revenue, on-time rate, average delivery time and a revenue share bar, with a separate Cancellation Rate % by Kitchen Hub chart.
⏱️ Kitchen speed by daypart. Avg. Prep Time (14.3), Avg. Delivery Time (30.0), On Time Rate % and Cancellation Rate % (2.8%), plus orders and delivery time across Breakfast, Lunch, Afternoon, Dinner and Late Night.
🎯 Five filters on every page. Date Range, Region, Virtual Brand and Delivery Platform sit on every page, plus one page-specific slicer (Kitchen Hub, Cuisine, Promo Type or Daypart).
🔍 Drill-through and tooltips. A hidden Details drill-through page opens from Region, Kitchen Hub, City, Virtual Brand, Cuisine, Delivery Platform, Daypart or Promo Type, and two tooltip pages add context on hover.
🛠️ Open, editable Power BI file. Nothing is locked. The model carries 45 DAX measures you can read and change, and the ZIP ships the .pbix, the sample Data.xlsx and a PDF user manual.
📦 What’s Inside the Ghost Kitchens Dashboard in Power BI
Page 1: Overview
Five sparkline KPI cards (Total Revenue $999.1K, Net Profit $203.5K, Profit Margin 20.4%, Total Orders 35,648, On-Time Delivery 89.0%) sit above four charts: Revenue and Profit Margin % by Month, Revenue by Delivery Platform, Revenue by Virtual Brand, and Revenue vs Net Profit by Region. The South region leads the sample with $345,259 in revenue and $69,971 in net profit.


Page 2: Sales Trends
Cards for Total Orders, Avg Order Value ($28.03), Orders per Shift (71.3), Revenue per Shift ($1,998) and Promo Order Share % (55.6%). Charts are Orders and Promo Order Share % by Month and Avg Order Value by Month, next to a Monthly Scorecard listing orders, revenue, net profit, profit margin and on-time rate for every month. November is the busiest month in the sample at 4,376 orders and $122,865.


Page 3: Brands & Menu
Cards for Net Profit ($203,512), Profit Margin % (20.4%), Food Cost % (29.6%) and Avg. Customer Rating (4.3). Charts are Revenue by Virtual Brand, Net Profit and Profit Margin % by Cuisine, Food Cost % by Virtual Brand (Wing Republic highest at 35.0%, Slice Society lowest at 25.4%) and Orders by Promo Type.


Page 4: Platforms & Promos
Cards for Total Platform Fees, Platform Fee %, Direct Revenue ($244,979), Direct Revenue Share % (24.5%) and Avg Order Value. Visuals are Profit Margin % by Delivery Platform, a Revenue by Region and Delivery Platform matrix, Platform Fees and Fee % by Delivery Platform, and Orders and Avg Order Value by Promo Type. This is the page that shows the ghost kitchen profit margin gap between third-party apps and your own channels.


Page 5: Kitchen Operations
Cards for Avg. Prep Time, Avg. Delivery Time, On Time Rate %, Cancellation Rate % and Avg. Customer Rating. A Kitchen Hub Scorecard ranks eight hubs (Midtown Hub leads with 6,544 orders and $179,511), next to Cancellation Rate % by Kitchen Hub and Orders and Avg. Delivery Time by Daypart.


Also in the file
A Get More Dashboards page, a hidden Details drill-through page bound to eight fields, and two hidden tooltip pages (Trend Detail and Category Detail). The data model is one table of 500 shift rows and 24 columns (shift date, kitchen hub, city, state, region, virtual brand, cuisine, delivery platform, daypart, promo type, orders, revenue, food, packaging, labour and platform costs, profit, prep and delivery time, customer rating, and on-time, late and cancelled orders) plus a Date table.
📊 This Template vs. a Custom Tableau / Qlik Build vs. Restaurant Analytics SaaS
| Feature | Ghost Kitchens Dashboard in Power BI | Custom Tableau / Qlik build | Restaurant analytics SaaS |
|---|---|---|---|
| Cost | One-time purchase | Licences plus build time | Monthly fee, often per location |
| Ready-made ghost kitchen pages | Yes, five pages | No, you design them | Depends on vendor |
| Platform fee and margin by app | Yes | If you build it | Often |
| Virtual brand and cuisine view | Yes | If you build it | Varies |
| Kitchen hub scorecard | Yes, eight hubs in sample | If you build it | Varies |
| Edit measures and visuals | Full access, 45 DAX measures | Full access | Limited |
| Live connection to DoorDash / Uber Eats / POS | No, you load an export | Possible with development | Usually yes |
| Your data stays on your machine | Yes | Depends on setup | No, vendor-hosted |
| Setup time | About 10 minutes with your export | Days to weeks | Onboarding and integrations |
👥 Who This Template Is For, and Who It’s Not For
Good fit: ghost kitchen and cloud kitchen operators running several virtual brands, multi-hub delivery kitchens, restaurant groups adding delivery-only brands, franchise operators and analysts who need a food delivery dashboard for monthly reviews.
Not a fit: anyone who needs live order feeds, automatic sync with DoorDash, Uber Eats, Grubhub or a POS, inventory or recipe costing, or kitchen display and dispatch tools. This is a reporting template that reads a workbook you fill or export.
⚙️ How to Use It
- Install Power BI Desktop (free from Microsoft) and unzip the download.
- Open Data.xlsx and replace the sample rows with your own shift data, keeping the column headers.
- Open the .pbix, go to Transform data, Data source settings, and use Change Source to point at your copy of Data.xlsx. The shipped path points at our build folder, so this step is required on first use.
- Press Refresh. Every page, card and chart updates.
- Use the slicers, the page buttons and right-click Drill through on a brand, hub or platform to open the Details page.
💼 Real-World Use Cases
- Platform negotiation: show how much each delivery app takes in fees and what margin is left before renewing terms.
- Brand portfolio review: keep, fix or retire a virtual brand based on revenue, food cost % and rating together.
- Direct ordering push: track Direct Revenue Share % month by month as you move customers to your own app or website.
- Hub performance: compare on-time rate, delivery time and cancellations across kitchen hubs before staffing changes.
- Promo check: see whether BOGO, Percent Off, Free Delivery or Bundle Deal orders change order value.
❓ Frequently Asked Questions
What does the Ghost Kitchens Dashboard in Power BI measure?
Revenue, net profit, profit margin, orders, average order value, orders and revenue per shift, promo order share, food, labour and platform cost ratios, direct revenue share, prep time, delivery time, on-time rate, cancellation rate and customer rating, split by month, region, kitchen hub, virtual brand, cuisine, delivery platform, daypart and promo type.
Does it connect to DoorDash, Uber Eats, Grubhub or my POS?
No. It reads Data.xlsx. You paste or export your data into that workbook and press Refresh. A developer can repoint the Power Query source at a database or API if you need that. NextGenTemplates is not affiliated with any delivery platform named in the sample data.
Do I need a paid Power BI licence?
No. Power BI Desktop is free. A Pro or Premium licence is only needed if you want to publish and share the report in the Power BI Service.
How long does setup take?
About 10 minutes once your data matches the column headers in Data.xlsx: paste the rows, change the source path once, and refresh.
Can I add my own brands, hubs or platforms?
Yes. Brands, hubs, cities, platforms, cuisines, dayparts and promo types are read from the data, so new values appear in the slicers and charts after a refresh.
Is the sample data real?
No. The brands, hubs and figures are fictional sample records used to demonstrate the visuals. Replace them with your own before presenting anything.
Does it work on Mac?
Power BI Desktop runs on Windows. Mac users can run it through a Windows virtual machine or open a published copy in the Power BI Service.
👤 About the Author
Built by PK, Microsoft Certified Professional with 15+ years of Excel, Google Sheets and Power BI experience and founder of NextGenTemplates (@PKAnExcelExpert, @NextGenTemplates). Every template is hand-built and tested before release.
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📖 Click here to read the detailed blog post
🎥 Visit our YouTube channel for step-by-step video tutorials
👉 YouTube.com/@NextGenTemplates
Looking for a ghost kitchen dashboard you can edit instead of rent? Download the Ghost Kitchens Dashboard in Power BI once, load your own shift data and keep it for life, with no subscription and no per-seat fee.
📅 Last updated: October 2026



































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