Revolutionizing Urban Mobility: A Case Study on Ride-Hailing Services

Client Overview

The client is a USA-based revolutionary entity providing on-demand taxi booking and food delivery services. The primary goal of the business is to facilitating people with a swift yet reliable way of commute, and quick delivery of desired food items via an on-demand application.

The business continuously leads the sector with great strategic business decisions and a loyal customer base. As the competition is growing, the company needs to make more data-driven decisions to sustain its position in the sector.

Client Requirements

To gain a competitive advantage client needs key data insight from targeted competitors to make the comparison and build effective strategies. Here are the requirements, the client came with to X-Byte.

1 – Need to search and compare taxi fare prices from targeted competitors for the same location at the same time.

2 – More than 20k+ parameters need to be processed at the desired time and day on a daily basis

3 – The Client needs food delivery data from provided restaurants and platforms along with price range for selected food items.

4 – Get data related to food delivery services, delivery and other charges, delivery time, and more to make a comparison and optimize the pricing strategies.

5 – Place actual orders to track delivery time on all targeted platforms to perform comparison analysis.

Project Challenges

Challenges related to on-demand Taxi Riding

1 – Search query needs to be hit on various applications at the same time with the same destination. Search query result needs to be reflected at the same time on devices to get precise results.

2 – Query response needs to be stored in the required format.

3 – Need to take care of anti-scraping measurements to derive data in an ethical manner

Challenges Related to Food Delivery

1 – Products needed to be identified on a pricing basis before adding in the cart.

2 – Real-time data fluctuation related to restaurant brands and menu changes needs to be managed effectively. Need to handle these changes by aligning with the food item bifurcation which is prices and cart size (Small, Medium, Large)

3 – Match the restaurant names on various targeted platforms to identify name variations for the same brand.

4 – Identify payment methods available with actual orders.

5 – Need to follow the platform guidelines related to data collection

Solution We Delivered

For On-Demand Taxi Booking

1- We utilized multiple systems to access targeted competitor applications at the same time to execute the search query.

2 – We made provision of minimal buffer time to deal with the uncontrollable issues related to network fluctuation, app performance, technical glitches, etc.

3 – Collected information is stored in HTML format to tackle any possible response delay situation.

4 – We fulfilled the client’s requirement along with strict adherence to the data usage policy of targeted apps.

For Food Delivery Data Collection

1 – With the help of pricing intelligence, we compared the prices to select the best deal available on products before adding into the cart.

2 – We applied automation methods to deal with the dynamic changes of restaurant menu items. Our AI-powered data solutions detected real-time changes related to food item details, prices, and cart size (Small, medium, Large). Semi automation

3 – Implemented brand name mapping technique to find and match the restaurant name on different platforms. This helps to identify the same brand with variations in name, for e g. McDonalds & MacDonalds.

We used latitude/longitude values, address, and name logic for accurate results. Process match 3 points after the decimal values.

4 – We created actual accounts to order food online. Different types of payment methods were integrated and used to pay with real money.

5 – Semi-automated process helped to get data and perform constant monitoring of the cart values.

6 – Used intelligent data extraction tools to ensure that there is no data breach situation and client’s requirement is fulfilled.

Benefits to Client

1 – The client is now able to compare real-time taxi fares of targeted competitors for particular travel destinations at the same time for a single search query.

2 – With the automated data extraction process, the client is getting 20k+ required parameters daily on a defined time.

3 – The client is getting desired food delivery data from given restaurant brands for the selected menu item details and prices.

4 – Data related to food delivery charges, delivery time taken, service charges, and more helps the client to, monitor competitors, make comparisons, and build effective pricing strategies to gain the edge in the sector.