Web Scraping Food Delivery Data to Optimize Pricing, Competition, and Demand
This case study explains how a food delivery aggregator has utilized 3i Data Scraping’s solution to gather competitive intelligence, forecast demand, and increase ROI. With our innovative data scraping tool, the client could streamline business processes and stay ahead of the competition. Furthermore, they have fully simplified pricing strategies, delivery performance, and partner onboarding across multiple regions.
3i data scraping’s social media data scraping services allow businesses to extract user insights, profiles, trends, engagement metrics, hashtags, and competitor analysis for informed decision-making.
About Client
The client is an international food delivery aggregator with presence in countries such as Bahrain, Israel, Iraq, Saudi Arabia, Syria, and Egypt. They manage the entire process from ordering food to delivering it to the doorstep, office, or any designated address. The client has more than 30 million monthly users who place an order from the client’s website or mobile app. They have a connection to thousands of local restaurants, focusing on improving customer service and streamlining logistics.
Client Requirement
As competition gets high, the client was looking for an innovative solution to monitor competitor pricing, delivery fees, and menu dynamics across multiple cities. They want:
- Generate more leads.
- Real-time comprehensive insights for making informed decisions.
- An ideal solution that helps to seamlessly manage multi-language and multi-location.
- Improve customer loyalty.
- Forecast customer behavior to stay ahead of the competition.
- Accelerate the process of partner onboarding.
Challenges
The Client was facing the following challenges:
Solution
To address the above changes, we found the following solutions:
To fulfill client expectations, 3i Data Scraping has developed a special scraper that can automatically crawl competitors’ websites and provide valuable insights on a large scale across cities. The system normalizes pricing and menu data from the market. It has advanced features for predicting demand fluctuations based on weekdays, events, and peak hours.
3i Data Scraping has provided a dashboard that shows information at a glance about competitor movements, revenue, orders, and menu, upcoming deliveries, time, order, and status. The tool can collect massive datasets from diverse online sources such as social media sites, review sites, commercial databases, and more to predict historical trends.
Impact
With our automated solution, the client was able to increase revenue by 15%. The client made effective pricing and discounting strategies. The competitive analysis helps them to see clearly where the market is shifting. The client could discover consumer trends and develop effective marketing strategies for the growth of the business.
By scraping valuable data from competitors’ sites, the client could better forecast demand accuracy, which results in more optimal rider allocation and fewer delivery delays, and the client can proactively collaborate with coaching due to better performance tracking.
