Ai Tracks Menu Price Changes On Swiggy & Zomato In India

By Author: Actowiz Solutions
Total Articles: 220
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Introduction
In India’s booming food delivery ecosystem, menu prices on Swiggy and Zomato are no longer static. Prices fluctuate based on:
Location-specific demand
Peak delivery hours
Restaurant promo cycles
Platform-led dynamic pricing models
For restaurant chains, aggregators, and pricing strategists, tracking these changes in real time is vital. Actowiz Solutions offers an AI-powered scraping engine that monitors dynamic menu pricing across cities—hourly, geo-tagged, and category-wise.
Why Dynamic Menu Monitoring Is Crucial
Real-Time Adjustments: Menu items may cost more in the evening or during weekends
Surge Pricing & Delivery Fee Bundling affects perceived food cost
Location Variance: A single chain may price biryani at ₹250 in Delhi and ₹210 in Ahmedabad
Offers May Differ by Pin Code-Zomato Pro, festival discounts, or bank offers

How AI-Powered Menu Price Scraping Works
1. City-Based Restaurant List Compilation
AI scrapers crawl Swiggy and Zomato city-wise to extract active restaurant listings based on user location.
2. ...
... Hourly Menu Price Fetching
Each restaurant’s menu is scraped every 30–60 minutes, collecting base price, taxes, add-ons, and dynamic charges.
3. Price Change Detection Engine
Our AI models highlight fluctuations for the same menu item by time, city, or offer logic.

Sample Data Extracted

Swiggy – Mumbai:
Restaurant: Behrouz Biryani
Menu Item: Mutton Biryani
Time: 1 PM
Base Price: ₹345
Final Price: ₹395
Offer Tag: 25% Off

Zomato – Mumbai:
Restaurant: Behrouz Biryani
Menu Item: Mutton Biryani
Time: 1 PM
Base Price: ₹345
Final Price: ₹379
Offer Tag: Zomato Pro – 20%

Swiggy – Bengaluru:
Restaurant: Behrouz Biryani
Menu Item: Mutton Biryani
Time: 1 PM
Base Price: ₹345
Final Price: ₹345
Offer Tag: No Promo

AI-Driven Features by Actowiz
Time-Series Price Tracking
Geo-Price Variance Models
Tag-Based Promo Mapping (Zomato Pro, Festival Offers, BOGO)
Price Benchmark Reports by Cuisine/Restaurant Chain
Key Use Cases
Restaurant Chains
Monitor how third-party delivery platforms modify your menu prices city-wise or under dynamic load.
FoodTech Startups
Scrape pricing from 1000s of restaurants daily to power price comparison tools or insights dashboards.
Q-Commerce & Hyperlocal Players
Align bundled FMCG and meal pricing during high-demand hours based on competitor food pricing.

Business Impact
A multicity pizza chain used Actowiz's hourly pricing tracker to negotiate fair pricing enforcement with Zomato in Tier-2 cities—restoring control across 45 outlets.
A meal subscription startup identified pricing gaps of 18–22% between Zomato and Swiggy for the same SKUs, enabling smart redirection for margin-optimized conversions.
Visualization Example
Line Chart: Hourly menu price vs. delivery slot (by platform)
Map Overlay: City-wise average markup on menu prices across India
Bar Chart: Menu item base price vs. delivery-inclusive price across 5 metros
Tech Stack Used
Scraping: Selenium, Playwright + Python
AI/ML: Time Series Pattern Recognition
Storage: AWS RDS + S3
Delivery: Excel, API Feed, or PowerBI Dashboards

Compliance & Fair Use
Adheres to public data access norms
All scraped data is from customer-visible interfaces
No login-protected or personal data scraped
Final Takeaway
India’s online food delivery landscape is algorithmic, dynamic, and deeply localized. If your pricing isn’t monitored, your margins are silently eroded. With Actowiz Solutions’ AI-powered scraping, you can track, respond, and stay competitive
Want to monitor your competitor’s menu pricing every hour in every city? Start a pilot project with Actowiz Solutions today!

Learn More >> https://www.actowizsolutions.com/ai-menu-price-monitoring-swiggy-zomato-india.php