RestaurantRestaurant Software Development
Cloud POS, billing, reservations, kitchen display and guest apps, built for service — where the order changes mid-conversation and the system cannot stop working.
TRUSTED BY TEAMS
Sodio builds restaurant software development covering cloud POS, billing, table reservations, kitchen display systems, QR ordering, recipe costing and multi-outlet management, plus restaurant AI for voice ordering, menu engineering and prep forecasting.
Restaurant software differs from general retail systems in two specific ways: an order is a conversation with modifiers, substitutions and course timing rather than a flat basket of items, and the system runs during service where a few minutes of downtime is unrecoverable.
/// WHAT MAKES RESTAURANT SOFTWARE DIFFERENT
What Makes Restaurant Software Different
One App Becomes Four
Most on-demand projects are scoped as one app and delivered as four.
Budgets Must Cover the Whole Platform
There is the customer app, the provider or driver app, the admin and operations console, and the matching engine underneath all of it. Budgets built around the first one overrun on the other three.
Matching Is Where the Product Lives
Matching is where the product actually lives. A request arrives and something has to decide which provider gets it, weighing distance, direction of travel, current load, acceptance history and how long the customer has already waited. Nearest-provider matching looks reasonable until it starves half your supply and lengthens wait times at peak.
Operations Tooling Handles the Exceptions
The operations console is the part nobody demos and everybody needs. When a driver goes offline mid-job, a payment fails, or a customer disputes a delivery, someone in operations has to resolve it in minutes. If that tooling does not exist, the team resolves it in the database.
Supply Determines Whether the Business Scales
Supply is the last constraint, and the hardest. Demand can usually be bought. Supply has to be recruited, activated and retained, and a marketplace with too few providers cannot be priced into balance. Provider churn is the metric that quietly decides whether the business scales.
/// RESTAURANT SOLUTIONS
Restaurant Software We Build
Restaurant Software Development
Cloud POS for Restaurants
Restaurant App Development
Restaurant Mobile App Development
Restaurant Billing Software
Table Reservation & Booking
Kitchen Display Systems
QR Ordering & Contactless Menus
Inventory & Recipe Costing
Multi-Outlet & Chain Management
Waitlist & Queue Management
Restaurant Loyalty & CRM
///AI FOR RESTAURANTS
AI for Restaurants
Every model here attaches to a number an operator already reports weekly: food cost percentage, labour percentage, covers per shift, waste, average spend per head.
AI Voice Ordering
Phone and drive-thru orders taken by AI, with menu grounding, modifier handling and handoff to staff. Unanswered phone orders are lost revenue.
Menu Engineering AI
Profitability and popularity by dish, driving what gets promoted, repriced, reworked or removed from the menu.
Demand Forecasting & Prep Planning
Prep-ahead prediction by dish and hour, cutting ticket times at peak without over-prepping into waste.
Food Waste Reduction AI
Waste typically runs four to ten percent of food cost. Models that tie over-prep and spoilage back to specific decisions.
Dynamic Menu Pricing
Time-of-day, channel and outlet pricing with margin floors the commercial team controls, not an opaque algorithm.
Table Turn Optimisation
Seating, pacing and course timing decisions that raise covers per shift without rushing the guest experience.
Review Analysis & Sentiment AI
Google, TripAdvisor and delivery platform reviews aggregated into operational actions by outlet, dish and shift.
AI Staff Scheduling
Rosters built against forecast covers, so labour spend matches the shifts that actually need cover.
Phone and drive-thru orders taken by AI, with menu grounding, modifier handling and handoff to staff. Unanswered phone orders are lost revenue.
Learn MoreProfitability and popularity by dish, driving what gets promoted, repriced, reworked or removed from the menu.
Learn MorePrep-ahead prediction by dish and hour, cutting ticket times at peak without over-prepping into waste.
Learn MoreWaste typically runs four to ten percent of food cost. Models that tie over-prep and spoilage back to specific decisions.
Learn MoreTime-of-day, channel and outlet pricing with margin floors the commercial team controls, not an opaque algorithm.
Learn MoreSeating, pacing and course timing decisions that raise covers per shift without rushing the guest experience.
Learn MoreGoogle, TripAdvisor and delivery platform reviews aggregated into operational actions by outlet, dish and shift.
Learn MoreRosters built against forecast covers, so labour spend matches the shifts that actually need cover.
Learn More///RELATED SOLUTIONS
Related Solutions
Specialised modules and adjacent hospitality platforms built to standard enterprise specifications.
Cloud Kitchen Management Software
Multi-brand order aggregation and kitchen routing for delivery-only operations
Restaurant Delivery Apps
Delivery built on an existing restaurant operation, own-fleet or third-party courier
Multi-brand order aggregation and kitchen routing for delivery-only operations
Learn MoreGeneric and retail point of sale, hardware and payment integration
Learn MoreDelivery built on an existing restaurant operation, own-fleet or third-party courier
Learn MoreHotels, travel and wider hospitality AI
Learn More///SYSTEMS & INTEGRATIONS
Systems and Hardware We Integrate With
/// HOW WE WORK
How We Work on Restaurant Projects
Service observation and systems audit
We watch a service as well as reading the spec. How orders are taken and modified, how the kitchen sequences, where the current system slows staff down, and what the existing POS actually exposes.
Free solution architecture
Components, POS and aggregator integrations, offline strategy, hardware compatibility and a costed delivery plan including outlet rollout. Yours to keep whether or not you build with us.
Pilot in one outlet
A working system in a single site, used during real service by real staff. Training time, hardware behaviour and edge cases get tested here rather than across the estate.
Phased rollout
Deployment outlet by outlet with a rollback path, training material and support cover during the first services. Estates are never switched over in one release.
///FEATURED CASES
Future-Proof Software for Your Business
At Sodio, we deliver mobile apps, web apps, blockchain (DApps), AI integrations, SaaS platforms, and custom software development. Our innovative solutions are scalable, secure, and user-friendly, designed to drive growth and efficiency, keeping your business ahead in the competitive landscape. Trust Sodio for your digital transformation needs.
OrderOK - Restaurant Management System
A smart solution to streamline orders, table management, and restaurant operations.
OrderOK - Restaurant Management System
A smart solution to streamline orders, table management, and restaurant operations.
/// FAQ
Frequently Asked Questions
Local storage and local transaction logs. If internet connectivity drops, the POS terminal continues to take orders, print to kitchen printers and process local card payments using terminal fallback. A local background service syncs data back to cloud infrastructure once connection is restored, resolving conflicts deterministically without halting service.
Yes. We integrate with network kitchen printers (Epson, Star Micronics) via ESC/POS commands and third-party KDS hardware. Where existing hardware is locked down, we build ingestion layers or bridge services to route tickets accurately based on station configuration.
Through a hierarchical configuration model. Central head-office manages global menus, global pricing, categories and tax rules, while regional or outlet-level overrides allow local item availability, outlet-specific pricing and local modifier rules without breaking the central sync.
We always pilot in a single live outlet first to validate staff training, hardware edge cases and offline sync under real service pressure. Full estate rollout then proceeds outlet by outlet or cluster by cluster with dedicated rollout support, ensuring zero site-wide downtime risk.
AI voice agents handle incoming phone and drive-thru orders by interfacing directly with your menu database and injecting validated orders straight into the POS or KDS queue, exactly as a human cashier would, complete with modifier prompts and allergen checks.
Yes. We build bi-directional integrations with delivery marketplaces like Uber Eats, Deliveroo and DoorDash to ingest orders directly into your POS and KDS, synchronise item availability in real time, and halt inbound orders if the kitchen falls behind.
/// RELATED SERVICES
Related Services
Internal linking back into the main service tree.
/// GET STARTED
Start With One Service
Tell us where the current system slows down service and what is on the counter today. We will prepare a free solution architecture covering integrations, offline strategy, hardware compatibility and outlet rollout, so you can judge the approach before committing.