Multi-brand ghost kitchen and cloud kitchen operators hit a ceiling with generic POS systems and delivery aggregator tablets. When your operation runs three virtual brands out of one kitchen, takes orders from five delivery platforms, and needs per-brand profitability numbers by end of week, the fragmented stack of tablets, spreadsheets, and disconnected tools stops being a workaround and starts costing real money.
Multi-brand order routing that consolidates Uber Eats, DoorDash, Deliveroo, and Grubhub into one kitchen queue, routed by station and brand
Kitchen display systems built for the specific layout and workflow of your facility, not a generic restaurant floor plan
Per-brand inventory tracking that ties stock levels to consumption by virtual concept, not just by location
Brand performance dashboards showing revenue, margin, order volume, and prep time by virtual concept in real time
Recognition
Orders coming in across five delivery app tablets, each needing manual entry into your kitchen workflow?
Running multiple virtual brands from one kitchen but unable to see which brand is actually profitable?
Inventory counted by hand because nothing in your current stack ties purchases to per-brand consumption?
The short answer
RaftLabs builds custom ghost kitchen software for multi-brand operators, cloud kitchen facility managers, and restaurant groups adding delivery-only brands. We ship order routing engines, kitchen display systems, inventory management platforms, delivery aggregator integrations (Uber Eats, DoorDash, Deliveroo, Grubhub), and per-brand analytics dashboards. Most projects deliver in 10 to 16 weeks at a fixed, agreed cost.
Ghost kitchen software is a category of operations management platform built specifically for delivery-only food businesses that run one or more virtual restaurant brands from a centralized commercial kitchen. It consolidates inbound orders from delivery platforms such as Uber Eats, DoorDash, Deliveroo, and Grubhub into a single queue, routes orders to kitchen stations by preparation sequence and brand, manages shared ingredient inventory across multiple virtual concepts, and produces per-brand performance analytics. Custom ghost kitchen software development builds these systems around the specific brand hierarchy, facility layout, and reporting requirements of the operator rather than forcing the operation into a generic POS or SaaS template.
01 Diagnosis
Orders arriving across five delivery app tablets with no unified kitchen queue
Every new delivery platform your operation joins adds another tablet to the kitchen counter. Staff toggle between screens, manually call out orders, and re-enter tickets into whichever system your kitchen team can actually act on. During peak service the process breaks down: orders get missed, modifications don't transfer, and the kitchen works from a mental model of what's in flight rather than a confirmed queue.The cost is not just errors. It is the coordination overhead that grows linearly with every new platform or brand you add. A five-platform operation with three virtual brands can mean staff spending 20 to 30 minutes per service period just managing information flow between tablets before a single dish is cooked.A unified order consolidation layer connected directly to Uber Eats, DoorDash, Deliveroo, Grubhub, and any direct ordering channel pulls every inbound order into one queue. The kitchen display system shows a single, prioritized view organized by station and preparation time, with brand labels keeping each concept's tickets distinct.
No per-brand profitability data despite running multiple virtual concepts
According to Precedence Research, the global cloud kitchen market was valued at $81.94 billion in 2025 and is projected to reach $248.10 billion by 2035, a CAGR of 11.72%. The operators scaling into that growth are adding virtual brands faster than their reporting infrastructure can keep up with.Ghost kitchen operators adding virtual brands do so to increase kitchen utilization and revenue without proportionally increasing overhead. The logic works in theory. In practice, most multi-brand operators have no reliable way to measure whether each concept is contributing positively to margin or just adding complexity.Generic POS systems and delivery platform dashboards report revenue at the location level, not the brand level. Ingredient costs are tracked as one pool across all concepts. Labour time is not allocated by brand. The result is an operator running four virtual brands who can tell you total weekly revenue but not which brand drove it and which one is subsidized by the others.Per-brand reporting that allocates revenue, cost of goods, preparation time, and delivery platform commission by virtual concept gives operators the data to make rational decisions: which brands to promote, which to retire, and where to invest in menu development.
Inventory counted manually because the stack does not tie orders to ingredient consumption
Shared-ingredient ghost kitchen operations face an inventory problem that standard restaurant inventory tools do not solve. When three virtual brands share the same proteins, sauces, and packaging, a stock count tells you how much of each ingredient remains in the facility. It does not tell you which brand consumed it or whether the consumption rate matches the sales volume for each concept.Without that link, purchasing decisions are based on gut feel and end-of-week counts rather than per-brand consumption rates. Operators over-order to avoid running out mid-service, waste climbs, and food cost as a percentage of revenue drifts above target without a clear cause to address.An inventory system built on a bill of materials for each menu item across each brand deducts the correct ingredient quantities as orders are confirmed. Real-time stock levels flag shortage risks before service starts. Per-brand consumption reports show exactly which concept is driving ingredient spend.
Menu changes requiring manual updates across every delivery platform separately
A ghost kitchen operator adjusting ingredient sourcing, changing a price, or removing an item due to stock shortage has to make that change on every delivery platform the affected brand uses. With five platforms and three brands, a single menu change becomes 15 individual updates, each on a different interface, with no confirmation that all platforms are consistent.The exposure is direct: a customer orders a menu item marked available on DoorDash that your kitchen ran out of two hours ago because you updated Uber Eats first and did not get to DoorDash. The order gets cancelled, the customer gets a refund, and the delivery platform's reliability metric for your location drops.A centralized menu management layer connected to all delivery platform APIs pushes every menu change to every connected platform from one interface. Price updates, item availability toggles, and description changes propagate in seconds rather than across a 45-minute manual process.
02 What we ship
We connect directly to the Uber Eats, DoorDash, Deliveroo, Grubhub, and Just Eat APIs so every inbound order arrives in one system rather than on a separate tablet per platform. Orders are tagged by brand, channel, and estimated preparation time the moment they arrive.
Routing logic assigns each order to the correct kitchen station based on the dish type, current queue depth at that station, and the target completion time. When two brands share a station, the system sequences preparation to minimize collision without manual coordination between kitchen staff.
Built for ghost kitchen operators consolidating five or more delivery channels, facility managers running shared kitchens for multiple operator clients, and restaurant groups managing delivery-only concepts alongside their dine-in operations.
A KDS built for a ghost kitchen differs from one built for a dine-in restaurant. There is no table number, no server, and no front-of-house handoff. The display needs to show the station operator every active order across every brand in the correct preparation sequence, with modifications visible, and a countdown to the courier pickup window.
We build the station layout, the colour coding system for brand and urgency, the bump-to-complete workflow, and the escalation logic for orders approaching their pickup window. Screens connect to the order consolidation layer so any update from a delivery platform, a modification, a cancellation, or a substitution, appears immediately on the relevant station display.
Built for multi-brand ghost kitchens where a single station serves multiple virtual concepts, dark kitchen facilities with defined station routing, and restaurant operators adding delivery brands to an existing kitchen without changing the physical layout.
We build inventory systems on a bill of materials per menu item per brand. When an order comes in for Brand A's signature burger, the system deducts the correct quantities of each ingredient from the shared stock pool and attributes that consumption to Brand A's cost account.
Real-time stock levels update as orders are confirmed rather than as ingredients are physically counted. Low-stock alerts fire before service begins when projected order volume for the session would exhaust a shared ingredient. Purchase order generation connects to the consumption data so reorder quantities are based on actual usage rates by brand, not manual estimates.
Built for ghost kitchen operators running multiple virtual concepts from shared ingredient stock, central production kitchens supplying multiple delivery locations, and facility operators managing inventory on behalf of multiple kitchen tenants.
Menu management across Uber Eats, DoorDash, Deliveroo, Grubhub, and Just Eat from a single interface means price changes, item availability updates, and new product launches push to every connected platform simultaneously. A 45-minute manual process across five platforms becomes a single action.
We build the integration layer on top of each platform's official API so updates are bidirectional: availability changes triggered by inventory levels in your system push to delivery platforms automatically, and order volume data from each platform feeds back into your analytics layer. No middleware dependency on Otter, Cuboh, or Deliverect if your operation has requirements those tools cannot model.
Built for operators managing multiple brands across five or more delivery channels, ghost kitchen platforms building white-label technology for their kitchen tenants, and restaurant groups maintaining menu consistency across delivery and dine-in channels.
Per-brand reporting pulls order volume, average order value, delivery platform commission, ingredient cost of goods, and preparation time into one dashboard for each virtual concept. The numbers are available in real time during service and as daily, weekly, and monthly summaries.
We build the data model to allocate shared costs, ingredient consumption, labour time when tracked, and platform fees against the brand that generated them. Operators see gross margin by brand, not just total revenue across the facility. Comparative views across brands identify which concepts to promote in delivery platform advertising, which to adjust on price, and which to retire.
Built for multi-brand operators needing brand-level P&L visibility, ghost kitchen investors tracking the performance of multiple operator clients in one facility, and restaurant groups benchmarking delivery brands against their dine-in revenue.
Ghost kitchen facility operators leasing kitchen space to multiple food entrepreneurs need a layer of software above the individual operator's kitchen management tools. A facility management platform tracks which tenants are active, what kitchen time each has booked, what equipment is assigned to each station, and what shared resource costs to allocate to each tenant's monthly invoice.
We build tenant onboarding flows, kitchen scheduling systems, shared resource cost allocation engines, and operator-facing dashboards showing facility-level utilization. The facility operator sees all tenants in one view. Each tenant sees only their own operation. Billing connections to Stripe or payment processors automate monthly invoicing against actual usage data.
Built for ghost kitchen facility operators managing 10 or more kitchen tenants, commercial real estate businesses converting space to cloud kitchen facilities, and incubator-style ghost kitchen businesses offering technology as part of their value proposition to food entrepreneurs.
03 How we work
Companies we've built for
04 Track record
06 Client voices
Three-year average engagement. Founders and operators describing the work in their own words. No marketing varnish.
USARaftLabs nailed what other agencies couldn't — they started with our business problem and worked backwards to the right product. We were live in 14 weeks.
07 Why us
The industry changes. The broken process usually looks the same. Across 14+ industries and 100+ products, we recognise your problem fast, and we frame the fix around your margin and your operations.
We measure success the way you do: hours saved, revenue earned, margin recovered. We stay through launch and growth, so the result is ours to own.
Vodafone, T-Mobile, Cisco, Energia, Aldi, Nike. Six years, 100+ products in production, 4.9 on Clutch. Serious businesses keep coming back because we stay accountable long after launch.
08 Questions
Yes. The core architecture for multi-brand ghost kitchen software separates brand identity in the data layer while consolidating orders into a single kitchen queue organized by station and preparation sequence. Each brand has its own menu, pricing, and reporting. The kitchen sees one consolidated queue with brand labels. Reporting splits revenue, margins, and prep times per brand so you can decide which concepts to scale and which to retire.
Yes. Delivery platform consolidation using the official APIs from Uber Eats, DoorDash, Deliveroo, and Grubhub pulls all inbound orders into a single order management layer. Orders route to your KDS by station and preparation priority without manual re-entry. Menu updates pushed to one system propagate to all connected platforms. The fragmented tablet setup disappears.
A focused build covering order consolidation, a KDS, and delivery platform integrations typically runs 10 to 14 weeks. Cost depends on the number of brands, delivery platform connections, and whether the build includes inventory and analytics. Most ghost kitchen platforms fall in the $30,000 to $80,000 range. Complex multi-facility builds with full inventory and brand analytics are scoped separately. Fixed cost is agreed before development starts.
Yes. Inventory management for shared-ingredient ghost kitchens ties each menu item to its ingredient bill of materials. As orders come in for any brand, the system deducts the correct ingredient quantities in real time. When a shared ingredient drops below a threshold, both affected brands get flagged. Per-brand consumption reports show which concept is driving ingredient spend so purchasing decisions are grounded in actual usage data.
Off-the-shelf platforms work well when your operation fits the standard model: one facility, one set of brands, delivery platforms the vendor already supports. Custom software becomes the right choice when your operation requires behaviour the platform's configuration layer cannot deliver. That includes multi-facility routing logic, a proprietary brand hierarchy, financial reporting structures specific to your investor or franchise model, or integration with a POS or ERP system the SaaS vendor does not support. The decision usually arrives at a specific scale threshold rather than at launch.
Yes. Centralized menu management with delivery platform API connections is a standard part of the order management layer we build. A price change, availability toggle, or new item pushed from your admin interface propagates to every connected platform, Uber Eats, DoorDash, Deliveroo, Grubhub, and others, in a single action. The manual 45-minute process across five separate platform dashboards becomes one confirmation step.
Tell us what you are building and we will scope it out together.