Consumer•June 20, 2026

ai that analysis all coupon , offers and your past orders...

ai that analysis all coupon , offers and your past orders for creating food combo , orders of swiggy and Zomato

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Evaluation Scores

6.1/10

GoodOverall Score

Solution

Problem

Features

Market

Revenue

Competition

Risk

Market Analysis

Solution Overview

An AI-powered assistant that analyzes users' past orders on Swiggy and Zomato along with the latest coupons and offers to generate optimal food combos that save money and satisfy personal preferences. It provides one-tap suggestions to add the best-value combos to the cart, reducing decision fatigue and maximizing savings.

Problem Statement

Frequent food delivery users on Swiggy and Zomato often struggle to find the best combination of dishes that maximize discount usage and match their taste. They waste time browsing offers and comparing prices, and often miss better value options because of information overload.

Key Features

Auto-scans coupons and platform offers
Analyzes order history for taste patterns
Generates personalized combo recommendations
One-tap add combo to cart
Cross-platform price and deal comparison
Push alerts for limited-time savings

Market Snapshot

Market Size: $8 billion (Indian food delivery, growing 20%+ annually)
Target Users: Frequent food delivery users aged 18–35 in urban India
Growth Rate: 20% annually

Monetization Ideas

Subscription Premium: Unlock unlimited recommendations, detailed analytics, and priority alerts for a monthly fee
Affiliate Commission: Earn referral fees from Swiggy/Zomato for orders placed through the assistant
In-app Promotions: Partner with restaurants to promote combos as sponsored suggestions

Competitive Edge

Unlike generic coupon aggregators or simple recommendation engines, this assistant uses personal order history and combinatorial optimization to create unique, money-saving combos. It acts as a smart personal shopper rather than just a deal list, making it stickier and more valuable for frequent users.

Risk Factors

Dependence on Swiggy/Zomato APIs that could be restricted or discontinued
User data privacy concerns with order history analysis
Low adoption if integration is not seamless (e.g., requires manual input)

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