Million Saved


False Claimmants Identified


Reduction in Claims

About Client

Client is a manufacturer of spare parts for Commercial Vehicles and Trucks, with a sizeable market share in the country. Thet lose a fair share of Revenue to claims made by Fraud claimants.

Value Added

The Analytics solution has helped reduce total claims against poor quality products by 50%, and profit margin has increased by $250 million.

Discuss Your
Business Challenges

Talk to Our Golang Experts

Client Overview

The Client is a leading Spare Part Manufacturing Company for Commercial Vehicles and Trucks, with a sizeable market share in the country. The Company earns a sizable sum of annual revenue amounting to $2 Billion but loses a fair share of its Revenue to claims made by Fraud claimants. In the past year, it faced losses totaling to $500 Million to pay out such fraudulent claimants.

Given this situation the Spare Part Manufacturing Company is looking for a Big Data analytics solution that will pull data from the Datalog of the server to determine:

  • Which Product comes back with repeated complaints.
  • On which particular routes vehicles break down most number of times.

Business Solution

We developed a Big Data analytics platform using Golang , Python, and Hadoop to pull data from Terra Data. The Platform can produce Historical Analytics based on Historical Data, and at the same time, it offers Predictive Analytics based on The Hadoop Data storage. The client has a Data volume turnover of 2PB annually.

This Data is in the form of Structured as well as Unstructured Data which is sourced from Sales, Marketing, Purchase, Claims paid/made, Dealers/Customer Information, GPS information and much more.

Our Analytics solution collects, stores and analyses data collected from this Terra Data by scheduling job to pull relevant data. The job scheduling lasts 15-18 hours.

Deciphering this massive amount of data and previous GPS information the platform can determine:

Historical Data Analytics

Clients who have made
false claims

Reasons for breakdown of

Which product
reported most complains.

Predictive Analytics

Which spare part or
product will report
most number of breakdowns?

Which route will
cause most breakdowns

Which customer is most
likely to report a
spare part complain?

The predictive/ Big Data Analytics platform thus provides the Client with crucial information. This prediction aids them in taking accurate actions to avoid fraudulent claims.

messaging applications

Augmented Reality Advertising

The Ad platform provides a location-aware function; view data capture and is capable...

Read the case study

HIPAA Compliance SaaS Platform

This Software as a Service model allows confidential information to be shared over...

Read the case study

Get the best Golang and Google Cloud Expert Team to build your business solutions

Connect with our Experts

Qwentic at a glance

Qwentic is a leading technology consulting company, engaged in offering end to end consulting services. We are technology consulting partners to several leading businesses across a diverse range of industries spanning Logistics, Healthcare, Advertisement, and E-learning

Read More