Actowiz Metrics Real-time
logo
analytics dashboard for brands! Try Free Demo

We live in an era where the hassle of cooking after a late workday or sudden cravings for a quick snack are quickly resolved by ordering food from our favorite eateries. This convenience has never been more accessible.

In terms of numbers, the food delivery market is projected to reach $5 billion in 2019 and is expected to surge to $15 billion by 2023. With Swiggy and Zomato leading in India's Tier-I and Tier-II cities, the food delivery market is set for rapid expansion. Leverage Zomato Food Delivery Data Scraping Services for a competitive edge and valuable insights in this dynamic industry.

According to a report from the data intelligence platform KalaGato, as of the first half of 2018, Swiggy held a dominant market share of 36.40%, with FoodPanda closely following at 32.02%. Zomato, despite having a smaller market share of 23.78%, has made its global presence felt by operating in more than 300 cities.

operating-in-more-than-cities

Several variables, such as current traffic conditions, the speed of order preparation, and the efficiency of delivery personnel, play a pivotal role in shaping the growth of food-tech companies. The crucial importance of time and distance becomes evident at different junctures within the delivery process.

Several-variables-such-as-current-traffic-conditions

The era of using maps solely for finding locations is long gone. Nowadays, food-tech companies harness location data to enhance different aspects of their operations. Let's explore a few of these applications!

Exploration and Recommendation

FoodTech firms leverage location data to assist customers in discovering new restaurants in their vicinity. They achieve this by identifying restaurants capable of accepting orders and delivering them within a specified maximum delivery time, a concept known as "serviceability."

The key challenge lies in pinpointing the optimal time for guaranteed delivery and offering a diverse selection of restaurants to calculate delivery times swiftly. These companies prioritize enhancing the customer experience above all else. If the estimated delivery time is excessively lengthy or users must be presented with sufficient restaurant options, they may opt against placing an order altogether.

Delivery Allocation

After placing an order via your mobile device, the closest delivery driver is assigned to your order. Numerous calculations are involved in this process, including determining the distance between the delivery executive's current location and the restaurant and estimating the time required to reach your delivery destination.

Delivery-Allocation Delivery-Allocation-2

Occasionally, a scenario arises where a restaurant receives two orders from customers near each other. In such instances, "batching" is employed, and a single delivery driver is designated to deliver both orders.

Two orders are considered batchable when the estimated delivery times for all orders within a batch align with the delivery time commitments made to each customer.

Final Leg of Delivery

Last-mile delivery encompasses more than just the route from the restaurant to the delivery destination. Food-tech enterprises utilize their proprietary mapping systems to precisely compute the projected delivery time, which encompasses even the duration taken by the Delivery Executive to cover the "penultimate mile" (for instance, the time needed to travel from the community entrance to the customer's door).

To meet their requirements at scale, they harness historical data and real-time signals to develop and enhance their mapping solutions.

To-meet-their-requirements-at-scale

Streamlining Delivery Efficiency and Cost

Food delivery demands a delicate balance between customer satisfaction and operational efficiency. Food Delivery Data Intelligence helps streamline operations and enhance customer experiences in this complex industry. This equilibrium extends to optimizing time, expenses, and routes, even when confronted with unavoidable obstacles such as inclement weather, traffic disruptions, and decreased available delivery personnel.

This objective is attained by minimizing the idle time of delivery executives, achieved through reduced waiting times at restaurants (while meals are being prepared) and minimizing the duration during which delivery personnel awaits their next assigned order.

Cloud Kitchen Placement

The advent of "cloud kitchens" has brought a significant revolution to the market, particularly in terms of their size and technological enhancements, particularly in last-mile delivery.

The combination of location intelligence and artificial intelligence empowers cloud kitchens to forecast customer purchasing trends effectively and strategically position inventories within the nearest cloud kitchens to areas with a higher demand for home delivery.

The rise of "cloud kitchens" has stirred a significant transformation in the market, both in scale and technological advancements. Last-mile delivery has become a focal point of innovation.

Leveraging location intelligence and artificial intelligence, these cloud kitchens are now adept at forecasting customer purchasing patterns. They strategically position their inventories in the nearest cloud kitchens to cater to areas with higher demand for home delivery.

Utilizing Real-Time Geofencing

Burger King implemented real-time geofencing in conjunction with location intelligence to identify customers within a 600-foot radius of their outlets. This approach allowed them to provide digital coupon discounts for orders placed at any of their locations.

In this manner, they optimize customer engagement, effectively boosting awareness and efficiently acquiring new customers.

Location-Driven Advertising

As consumers become increasingly comfortable sharing their data, food-tech companies are capitalizing on this opportunity by leveraging real-time location information to target customers at precisely the right moments.

Location-based advertising offers several advantages, including access to better, real-time data and a remarkably high level of engagement. For instance, in regions primarily known for lunch orders, such as college campuses or commercial areas, these companies can promote breakfast offers from various food establishments.

Moreover, companies are harnessing location intelligence to determine zone-specific cancellation rates, analyze the balance between food demand and supply, evaluate the availability of delivery personnel in an area, and gain insights into the fluctuating volumes of deliveries and restaurant foot traffic.

Discounts and Promotions

Eatigo, a renowned restaurant reservation platform, harnesses location intelligence to provide discounts to customers, taking into account their geographic location, time of day, and additional factors such as the day of the week and prevailing weather conditions.

The objective is to ascertain whether a customer is inclined to travel a certain distance in order to avail substantial discounts. For instance, an individual might be willing to journey approximately 10 kilometers for a significantly attractive discount offer.

Live Traffic Observation

Businesses actively monitor real-time traffic data to gain insights into the comparative levels of customer foot traffic at their establishments versus their competitors.

These widely recognized "quick-service" brands are utilizing real-time traffic information to obtain enhanced insights into factors such as the allocation of consumer spending, visits to competitor stores, and customer loyalty trends.

Conclusion

In conclusion, Actowiz Solutions is at the forefront of revolutionizing the food delivery industry by strategically implementing geospatial data. By providing food delivery companies with cutting-edge tools and solutions, Actowiz empowers businesses to optimize operations, increase efficiency, and enhance the overall customer experience. Using geospatial data has become an indispensable asset in the competitive food delivery landscape, enabling companies to make data-driven decisions, improve route planning, and precisely target customers. As we look towards the future, it is clear that Actowiz Solutions is paving the way for food delivery companies' continued growth and success, offering them the tools they need to thrive in a dynamic and evolving marketplace.

For more information about Food Delivery and Geospatial Data, contact Actowiz Solutions now! You can also reach us for all your mobile app scraping, instant data scraper and web scraping service services requirements.

Social Proof That Converts

Trusted by Global Leaders Across Q-Commerce, Travel, Retail, and FoodTech

Our web scraping expertise is relied on by 4,000+ global enterprises including Zomato, Tata Consumer, Subway, and Expedia — helping them turn web data into growth.

4,000+ Enterprises Worldwide
50+ Countries Served
20+ Industries
Join 4,000+ companies growing with Actowiz →
Real Results from Real Clients

Hear It Directly from Our Clients

Watch how businesses like yours are using Actowiz data to drive growth.

1 min
★★★★★
"Actowiz Solutions offered exceptional support with transparency and guidance throughout. Anna and Saga made the process easy for a non-technical user like me. Great service, fair pricing!"
TG
Thomas Galido
Co-Founder / Head of Product at Upright Data Inc.
2 min
★★★★★
"Actowiz delivered impeccable results for our company. Their team ensured data accuracy and on-time delivery. The competitive intelligence completely transformed our pricing strategy."
II
Iulen Ibanez
CEO / Datacy.es
1:30
★★★★★
"What impressed me most was the speed — we went from requirement to production data in under 48 hours. The API integration was seamless and the support team is always responsive."
FC
Febbin Chacko
-Fin, Small Business Owner
icons 4.8/5 Average Rating
icons 50+ Video Testimonials
icons 92% Client Retention
icons 50+ Countries Served

Join 4,000+ Companies Growing with Actowiz

From Zomato to Expedia — see why global leaders trust us with their data.

Why Global Leaders Trust Actowiz

Backed by automation, data volume, and enterprise-grade scale — we help businesses from startups to Fortune 500s extract competitive insights across the USA, UK, UAE, and beyond.

icons
7+
Years of Experience
Proven track record delivering enterprise-grade web scraping and data intelligence solutions.
icons
4,000+
Projects Delivered
Serving startups to Fortune 500 companies across 50+ countries worldwide.
icons
200+
In-House Experts
Dedicated engineers across scrapers, AI/ML models, APIs, and data quality assurance.
icons
9.2M
Automated Workflows
Running weekly across eCommerce, Quick Commerce, Travel, Real Estate, and Food industries.
icons
270+ TB
Data Transferred
Real-time and batch data scraping at massive scale, across industries globally.
icons
380M+
Pages Crawled Weekly
Scaled infrastructure for comprehensive global data coverage with 99% accuracy.

AI Solutions Engineered
for Your Needs

LLM-Powered Attribute Extraction: High-precision product matching using large language models for accurate data classification.
Advanced Computer Vision: Fine-grained object detection for precise product classification using text and image embeddings.
GPT-Based Analytics Layer: Natural language query-based reporting and visualization for business intelligence.
Human-in-the-Loop AI: Continuous feedback loop to improve AI model accuracy over time.
icons Product Matching icons Attribute Tagging icons Content Optimization icons Sentiment Analysis icons Prompt-Based Reporting

Connect the Dots Across
Your Retail Ecosystem

We partner with agencies, system integrators, and technology platforms to deliver end-to-end solutions across the retail and digital shelf ecosystem.

icons
Analytics Services
icons
Ad Tech
icons
Price Optimization
icons
Business Consulting
icons
System Integration
icons
Market Research
Become a Partner →

Popular Datasets — Ready to Download

Browse All Datasets →
icons
Amazon
eCommerce
Free 100 rows
icons
Zillow
Real Estate
Free 100 rows
icons
DoorDash
Food Delivery
Free 100 rows
icons
Walmart
Retail
Free 100 rows
icons
Booking.com
Travel
Free 100 rows
icons
Indeed
Jobs
Free 100 rows

Latest Insights & Resources

View All Resources →
thumb
Blog

How to Scrape Shopify Store Data: Product Prices, Reviews & Inventory (2026 Guide)

Complete guide to scraping Shopify store data in 2026. Extract product prices, reviews, and inventory from Shopify stores for competitive intelligence.

thumb
Case Study

How Natural Grocers Achieved 23% Higher Promotional ROI Using Real-Time Organic Product Pricing Intelligence

Discover how Natural Grocers achieved a 23% increase in promotional ROI using real-time organic product pricing intelligence. Learn how data-driven pricing strategies enhance promotions and retail performance.

thumb
Report

Track UK Grocery Products Daily Using Automated Data Scraping to Monitor 50,000+ UK Grocery Products from Morrisons, Asda, Tesco, Sainsbury’s, Iceland, Co-op, Waitrose, Ocado

Track UK Grocery Products Daily Using Automated Data Scraping across Morrisons, Asda, Tesco, Sainsbury’s, Iceland, Co-op, Waitrose, and Ocado for insights.

Start Where It Makes Sense for You

Whether you're a startup or a Fortune 500 — we have the right plan for your data needs.

icons
Enterprise
Book a Strategy Call
Custom solutions, dedicated support, volume pricing for large-scale needs.
icons
Growing Brand
Get Free Sample Data
Try before you buy — 500 rows of real data, delivered in 2 hours. No strings.
icons
Just Exploring
View Plans & Pricing
Transparent plans from $500/mo. Find the right fit for your budget and scale.
Get in Touch
Let's Talk About
Your Data Needs
Tell us what data you need — we'll scope it for free and share a sample within hours.
  • icons
    Free Sample in 2 HoursShare your requirement, get 500 rows of real data — no commitment.
  • icons
    Plans from $500/monthFlexible pricing for startups, growing brands, and enterprises.
  • icons
    US-Based SupportOffices in New York & California. Aligned with your timezone.
  • icons
    ISO 9001 & 27001 CertifiedEnterprise-grade security and quality standards.
Request Free Sample Data
Fill the form below — our team will reach out within 2 hours.
+1
Free 500-row sample · No credit card · Response within 2 hours

Request Free Sample Data

Our team will reach out within 2 hours with 500 rows of real data — no credit card required.

+1
Free 500-row sample · No credit card · Response within 2 hours