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AI FOOD DELIVERY

AI Food Delivery Platform

Full food delivery ecosystem — 3 apps, AI routing, live tracking

End-to-end food delivery with AI route optimisation, real-time rider tracking, restaurant portal, personalised recommendations, and multi-payment support.

3 Apps
Customer, Restaurant & Rider
22%
Faster delivery via AI routing
18%
Higher AOV from AI recommendations
Live
Real-time GPS tracking
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Overview

Everything You Need — Ready to Launch

Build your own Swiggy or Zomato — for your city, your food niche, or your restaurant chain. Our AI Food Delivery Platform is a complete three-sided marketplace: a customer app with personalised AI food recommendations, a restaurant portal for menu management and order tracking, and a rider app with AI-optimised delivery routes. Everything is connected in real time — customers see exact delivery estimates, restaurants track preparation, and riders get dynamic routing that avoids traffic and batches nearby orders for efficiency.

Launch Timeline
6–8 weeks
Customisation
Full white-label
Post-launch Support
6 months post-launch support included
Hosting
AWS-hosted and scaled
AI Food Delivery Platform
Deployment Details
Timeline: 6–8 weeks to full pilot launch including app store submissions
Customisation: Full white-label — your brand across all 3 apps. Zone, currency, language, and pricing rules configurable
Support: 6 months post-launch support included. Operations team training provided
Hosting: AWS-hosted and scaled. Auto-scaling for peak demand periods included
Features

What's Inside the Platform

Every feature is production-ready, configurable, and included in the base deployment — not sold as separate add-ons.

AI Route Optimisation

Real-time routing engine considers traffic patterns, preparation time estimates, order batching proximity, and rider availability — reducing average delivery time by 22% vs manual dispatch.

Personalised Food AI

Collaborative filtering recommends dishes based on each user's order history, time of day, weather, and neighbourhood preferences. Increases average order value by 18% through smart upselling.

Live Order Tracking

GPS-based real-time tracking for customers and restaurants. Customers see their rider on a live map with ETA. Restaurants know exact pickup time. Automated customer notifications at every status change.

Restaurant Portal

Restaurants manage their menu, pricing, availability, and promotions from a web portal. Order management shows incoming orders, prep time, and pickup ETA. Analytics show top dishes, revenue, and review trends.

Automated Dispatch System

Intelligent order dispatch assigns riders based on proximity, workload, and vehicle type. Auto-batches nearby orders to the same rider. Handles peak demand without manual intervention.

Multi-Payment Support

Stripe, Razorpay, PayPal, UPI, COD, and digital wallets supported. Wallet top-ups, promo codes, and cashback rewards built in. PCI-compliant payment handling.

Deliverables

What You Get on Day One

Every deployment includes these fully functional components — branded, configured, and ready for your users.

Customer Ordering App (iOS & Android)
Restaurant Management Web Portal
Rider Delivery App (iOS & Android)
Super Admin Dashboard
AI Routing & Recommendation Engines
Full Source Code & Operations Documentation
How It Works

From Kickoff to Live in Weeks

A structured implementation process that moves fast without skipping critical steps.

01
Configuration & Branding

We set up your branded customer app, restaurant portal, and rider app with your logo, colours, and city configuration.

Takes 3–5 days. Requires brand assets, supported zones, and restaurant list.
02
Restaurant Onboarding

We import or help onboard your partner restaurants — menus, photos, pricing, and operating hours — into the restaurant portal.

Takes 3–7 days depending on restaurant count. Bulk import via CSV supported.
03
Payment & Logistics Setup

Configure payment gateways, delivery zones, pricing per km, surge rules, and rider onboarding flows.

Takes 2–3 days. Requires payment gateway credentials and zone mapping.
04
Pilot Launch & Scale

We run a soft launch with 5–10 restaurants and monitor order flows, routing accuracy, and app performance before full rollout.

Takes 2–4 weeks for pilot. Full city launch follows based on pilot learnings.
Who It's For

Built for These Businesses

Three distinct use cases — each with measurable business outcomes.

Cloud Kitchens & Dark Stores

Zero commission to third-party aggregators

Launch delivery from multiple kitchen brands under one app without building technology from scratch. Own your customer data and delivery margins.

Restaurant Chains

25–35% margin saved per order

Build your own delivery channel and stop paying 25–35% commission to Swiggy and Zomato. Capture customer data directly. Offer loyalty programmes that aggregators block.

City-Level Food Aggregators

Full platform in 6–8 weeks vs 18 months custom

Launch a Swiggy-style aggregator for your city, cuisine niche, or premium segment. Full multi-restaurant, multi-rider, multi-zone platform ready to scale.

Build vs Buy

Why Not Build It From Scratch?

Every client asks this. Here is an honest comparison.

Criteria
Build From Scratch
Kotibox Ready-Made
Time to Market
12–24 months
6–8 weeks to full pilot launch
Development Cost
₹50L – ₹2Cr+
Fraction of cost — ready infrastructure
Team Required
8–15 engineers, PMs, QA, DevOps
Your team focuses on business — we handle tech
Risk of Failure
High — 60% of custom builds go over budget & time
Low — battle-tested in production across clients
Post-Launch Maintenance
Full team needed for bugs, updates, scaling
Included in support plan — we maintain it
Customisation
Full control — but at enormous cost
Full white-label — brand, flows, features
Tech Stack

Built on Modern, Scalable Technology

Enterprise-grade open-source stack — no vendor lock-in, fully maintainable, and cloud-agnostic.

Customer App
Flutter (iOS + Android)
React.js (Web Ordering)
Rider App
Flutter (iOS + Android)
Google Maps SDK
WebSocket (Real-time)
Restaurant Portal
React.js
Node.js API
AI Engines
Python (Routing ML)
TensorFlow (Recommendations)
Redis (Live Tracking)
Infrastructure
AWS EC2
AWS RDS (PostgreSQL)
Google Maps Platform
Firebase (Push)
Payments
Razorpay
Stripe
UPI Integration
Wallet System
FAQs

Frequently Asked Questions

Technical, commercial, and implementation questions answered.

Ready-made · Fast Launch

Get a Live Demo of AI Food

We'll walk you through the full platform, show you the admin panel, and give you a custom pricing estimate based on your scale and requirements.

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