A leading product engineering company, creating adaptive software solutions to improve operations, providing businesses with expert development services from across domain.
A leading product engineering company, creating adaptive software solutions to improve operations, providing businesses with expert development services from across domain.
Food & Restaurant Tech
A full-stack food and dining platform — consumer mobile app, restaurant management system, DineTune smart dining module, AI recommendation engine, and super admin infrastructure — designed and delivered by Creuto from scratch.
5
Distinct User Roles2
Platform Dimensions1
Unified Super AppAI
Personalisation EngineClient
DineTune Platform
Industry
Food & Restaurant Technology
Services
Mobile App Development
Web Dashboard Development
AI Integration
Backend Architecture
UI/UX Design
The client came to Creuto with a clear and ambitious mandate: build a food and dining platform that could compete on product quality with the leading players in India's restaurant-tech market. Not a clone, but a genuinely better-engineered, more feature-complete system — one that served not just the user discovering a place to eat, but the restaurant managing its operations, the branch manager overseeing daily service, and the platform operator tracking performance across an entire city network.
What Creuto delivered is a unified, multi-module ecosystem built for scale from day one. It operates across two primary dimensions: the consumer experience layer (restaurant discovery, food ordering, table reservations, AI personalisation, smart dining) and the restaurant operations layer (onboarding, multi-branch management, menu digitisation, order handling, floor and table management).
Creuto designed and delivered the complete product end to end:
A consumer-facing mobile app for iOS and Android covering discovery, ordering, reservations, AI chat, and DineTune features
A restaurant management system for onboarding, menu management, order handling, table and floor management, and offer creation
A multi-role web dashboard covering branch manager, staff, admin, and super admin functions
An AI recommendation and chat engine integrated across the consumer experience
A QR-based scan-to-pay payments system with full transaction management
Creuto acted as a full product partner — shaping the architecture, challenging the feature logic, designing for five distinct user roles, and deploying to production at a scale appropriate for a city-wide rollout from launch day.
Fragmented food discovery and dining experience
India's restaurant-tech market is dominated by two large aggregators, but the experience they deliver to users has calcified around a narrow set of interactions: search, filter, order, track. The deeper dimensions of the dining decision were either absent or handled poorly.
→
No unified view combining delivery and dine-in options
→
No real-time wait time visibility before arriving at a restaurant
→
No parking intelligence integrated into the pre-visit decision
→
Discovery rankings driven by ad spend rather than genuine relevance
→
Personalisation limited to reordering — not learning preferences
For users who wanted to dine in rather than order in, the gap was even wider. Real-time seat availability, floor layout awareness, and pre-arrival intelligence were simply not available.
Restaurants had no unified operations system
On the supply side, the problem was structural. Restaurants on major aggregator platforms had no single system to manage their digital presence, order pipeline, table occupancy, floor layout, and offers simultaneously. Each function was handled by a different tool — or not handled digitally at all.
→
No single dashboard combining order management, table management, and offers
→
Menu updates required platform support tickets rather than self-service
→
Multi-branch groups had no consolidated view of cross-location performance
→
Onboarding new outlets to delivery platforms was manual and slow
→
Staff had no digital tools for real-time table status and floor management
Poor personalisation and weak retention mechanics
Food preference is one of the richest personalisation signals available to a consumer platform — but most restaurant apps treat it as a search filter rather than a learning system. Users who consistently ordered from a particular cuisine and price point received the same generic discovery rankings as a first-time user.
→
Engagement dropped sharply after the first few orders
→
Users found the platform useful for familiar restaurants but not for exploration
→
Waitstaff used physical systems with no integration to digital ordering
→
Kitchen teams had no visibility into incoming digital orders
→
Floor managers had no real-time overview of table status and turnover
01
GPS-powered discovery surfaces nearby restaurants in map and list views with real-time distance calculations and contextual sorting (proximity, rating, popularity, relevance to preference profile). Advanced filters allow users to narrow by cuisine, price band, seating preference, dietary requirements, and current availability.
Filters are combinable and persistent across sessions. The discovery algorithm weights filter combinations against personalised preference profiles — so the rankings get better with use.
02
DineTune is the intelligent dining experience layer that differentiates the platform. It delivers real-time wait time visibility, smart parking detection, location-based dining intelligence, and the Hangry Mode quick-suggestion system.
This surfaces all the information users need before they leave the house — eliminating the consistent failure mode of arriving to find a 45-minute wait or no parking.
03
The AI engine analyses order history, cuisine preferences, price behaviour, and ambience choices to generate personalised discovery rankings that improve with every use. An AI chat interface allows users to describe what they want in natural language and receive curated suggestions.
Unlike generic LLM wrappers, this is purpose-built for dining decisions and trained on the platform's own user behaviour data.
04
A calendar-based reservation system with real-time seat availability. Restaurant staff manage floor layout, table status, and upcoming reservations from a live floor map. Pre-arrival intelligence reduces no-shows and improves table turnover for restaurants while delivering a smoother dining experience for users.
05
Restaurants manage onboarding, menu digitisation, order handling, and offer creation from a unified dashboard. Multi-branch groups get a consolidated view of cross-location performance with central menu control and branch-level analytics — replacing the fragmented mix of tools that previously handled each function separately.
06
A QR-based payment system with full transaction management enables dine-in payments without staff intervention. Supports UPI, cards, and wallets. Transaction history is available to both the user and the restaurant in real time — closing the loop on the dining experience without queuing for a bill.
Creuto didn't just build an app — they understood the entire dining ecosystem from both sides of the table. The DineTune module alone is more thoughtful than anything the major platforms have shipped in the last three years. They built us a real product, not a clone.
Founding Team, DineTune Platform
Building a food and dining super app is one of the most technically complex consumer products — five distinct user roles on multiple platforms, real-time data, and AI personalisation. Here is what makes Creuto the right partner.
Consumer, restaurant owner, branch manager, staff, and super admin each have distinct needs. We architect experiences for all five within one coherent product — not five disconnected apps bolted together.
The recommendation engine and DineTune intelligence are baked into the platform's data architecture from day one — not added as a bolt-on. The system learns and improves with every user interaction.
Consumer apps, restaurant management system, multi-role web dashboards, AI engine, payments integration, and backend API — delivered as one coherent platform under one contract.
After discovery, Creuto provides a detailed scope document and a fixed-cost proposal. No vague estimates, no change order surprises — just predictable delivery.
Every technology chosen for real-time order and reservation handling, AI personalisation at scale, and the ability to launch with city-wide load on day one.
From product architecture for five distinct user roles to production deployment at city scale — a disciplined build process for one of the most complex consumer platforms we have delivered.
Structured workshops to define the product across all five user roles. Mapped user flows for consumer, restaurant, branch manager, staff, and super admin. Defined the DineTune feature logic, AI personalisation model, and multi-branch data architecture before design began.
End-to-end Figma designs for consumer mobile app, restaurant management system, and multi-role web dashboards. Special focus on the DineTune experience and AI chat interface. Three rounds of stakeholder review with interactive prototypes before development.
Backend API, database architecture, authentication, real-time order and reservation engines. React Native mobile app and web dashboard shells built in parallel with shared component libraries and typed API contracts.
Recommendation engine and AI chat integrated progressively. DineTune real-time data feeds (wait time, parking, kitchen status) built and validated against restaurant pilot partners. Personalisation model trained on early user behaviour data.
End-to-end testing across all user roles, device types, and platforms. Load testing of real-time reservation and order systems. Payments security review and QR flow testing across Android and iOS.
App Store and Play Store submissions. Production infrastructure setup for city-wide scale. Two-week hypercare window post-launch with dedicated on-call support for restaurant onboarding and consumer issues.
We treat your product like a real product — not a clone of an existing app. We push back on feature decisions when we see better paths. We design every screen for the user role it serves, not for the demo room. And we ship a system that handles real load on day one of launch.
DineTune launched at city-wide scale with five user roles served from one coherent platform — and a feature set more thoughtful than the entrenched competition.
Everything you need to know about building a product like this with Creuto.
DineTune is a pre-visit intelligence layer, not just a reservation tool. It surfaces real-time wait times, parking availability, kitchen status, and personalised suggestions before the user leaves their location. Standard booking features only handle the reservation itself — DineTune shapes the dining decision.
Yes. Multi-branch management is a first-class feature. Restaurant groups get a central dashboard for menu management, cross-location performance analytics, and brand consistency controls. Each branch operates its own order and table management system with data rolled up to the group level.
The engine analyses each user's order history, cuisine preferences, price behaviour, visit frequency, and contextual signals (time of day, occasion type) to personalise discovery rankings. It improves with every order placed and every rating submitted.
A full food and dining super app of this scope typically takes 5–7 months from discovery to launch. Timeline varies based on the number of modules, AI complexity, and restaurant partner onboarding requirements. We always begin with a scoping sprint to give an accurate estimate before committing.
A multi-module food platform with consumer app, restaurant system, AI personalisation, and admin tooling typically costs between $80,000 and $180,000 USD depending on AI scope, payments integration depth, and feature surface area. Creuto provides a fixed-cost proposal after discovery.
Whether you are launching in one city or planning a national rollout — Creuto builds restaurant-tech products that compete on quality, not just feature-checking the existing players.
Multi-role architecture. AI personalisation. Real-time operations. One team. Fixed price.
Book a free consultation11th Floor, O-Hub, Chandaka Industrial Estate, Infocity, Bhubaneswar, Odisha 751024
Level 4, 11 York Street Sydney Startup Hub Sydney, NSW – 2000
30 N. Đinh Nghệ, Phước Mỹ Sơn Trà, Đà Nẵng / Da Nang City – 550000
Level 25, AIDP Business Tower, Dubai Marina, United Arab Emirates
50 Beauchamp Street, Wellington, WGN 5028, New Zealand
© 2026 Creuto All Rights Reserved