endorsedOngoing

BI & Pricing Data Scraping for Tire Manufacturer

Services Covered:

Web Scraping Services • Big Data Analytics and Business Intelligence

Industry

Automotive

Duration

81 months

Budget

Less than 10K

Start Date

1 November 2019

Team Size

Confidential

Engagement Model

Offshore

Project Capability Score (PCS)

80/100

Strong

Project Capability Score (PCS) estimates how capable DATAFOREST is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

London, United Kingdom

Project Summary

Dataforest was hired by a tire manufacturer and supplier to scrape website data for benchmarking and to inform compatible product pricing. The vendor collected data from eight websites across 20 sizes and stored the results in AWS Redshift, with visualizations in Power BI. Since engagement, the client reported improved pricing transparency and a more efficient pricing setup process, and praised Dataforest's responsiveness and effective workflow.

Key Challenges

Gather website data for benchmarking to set compatible product prices
Improve the pricing setup process for Vredestein products

Project Deliverables

Data scraped from 8 websites covering 20 sizes and all brands
Data stored in AWS Redshift
Data visualized in Power BI

Project Solution

Dataforest was hired via Upwork to perform website data scraping across eight sites covering 20 sizes and all brands. The collected data was consolidated and stored in AWS Redshift and visualized using Power BI. The engagement involved coordination with the client's team and project management using monday.com.

Project Outcome

Improved process for setting up prices
Improved pricing transparency
Very effective workflow between teams using monday.com
Faster response times and high time-efficiency from the vendor

Platforms

Tech Stack

Amazon RedShift
Amazon Web Services (AWS)

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“Since Dataforest's involvement, there has been an improved transparency and pricing process. The team has an effective workflow between them and the client. They are time-efficient, promptly responding to queries and concerns.”
Anonymous
Digital Project Manager
Date: 02/15/2021