FLEET INTELLIGENCE REIMAGINED: INFERYX + SNOWFLAKE POWERS OPEN LAKEHOUSE AND GENAI AT SCALE FOR A LARGE AUTOMOTIVE LEADER

Cloud & Tech Stack

Client

A large global automotive leader in vehicle lifecycle management, supporting fleets, insurers, and automotive enterprises with solutions that cover vehicle acquisition, maintenance, claims, and resale. With an ever-growing volume of connected vehicle and IoT data, the company wanted to transform how operational and fleet insights are generated, enabling predictive analytics and AI-driven innovation.

TECH STACK

Cloud & Storage:

AWS S3

Data Lakehouse:

Apache Iceberg (Bronze & Silver)

Compute:

Apache Spark SQL (batch + micro-batch)

Analytics Warehouse (Gold):

Snowflake

CHALLENGE

The client’s data ecosystem had grown highly complex over time, creating barriers to deriving timely and actionable insights. It relied on multiple siloed systems to manage vehicle lifecycle data, fleet operations, and IoT telemetry. This led to difficulties in:

Consolidating and harmonizing data from hundreds of diverse sources.
Maintaining governance, quality, and trust across raw and processed datasets.
Ensuring timely availability of insights for decision-making across operations.
Balancing operational costs while scaling data infrastructure.
Delivering a unified platform supporting future AI and analytics requirements.

RESULTS

100M

records processed daily ensuring robust data throughput

20,000+

pipelines automated for enterprise-scale data ingestion

~1M

jobs executed daily across the ecosystem

30%+

cost optimization using S3 + Iceberg layers

T-30 Min

SLA micro-batching enabled near real-time insights

SOLUTION

The automotive leader partnered with the Inferyx Data Intelligence Platform to modernize its data architecture. A multi-layered, cost-optimized lakehouse approach was implemented to combine scalability, governance, and performance.

Key solution elements included:

Bronze & Silver layers on AWS S3 + Apache Iceberg for scalable, governed storage

Gold layer in Snowflake to support BI and advanced analytics workloads

Low-code automation to accelerate pipeline deployment

Apache Spark SQL for batch ingestion, transformations, and near real-time processing

Automated governance with cataloging, lineage, and business context

IMPLEMENTATION

The project was executed to ensure each activity directly contributed to business goals, modernizing the data foundation within a tight timeframe.

01

Unified data from 800+ enterprise sources through automated workflows

02

Optimized execution with scheduled pipelines for large-scale environments

03

Designed S3/Iceberg Bronze and Silver layers with Gold in Snowflake

04

Implemented micro-batching pipelines to deliver timely data-driven decisions

05

Achieved go-live with initial build and deployment in under three months

CLIENT TESTIMONIAL

"With Inferyx, we didn't just build a data lake; we created a governed, cost-optimized Fleet Intelligence Centre. The combination of S3/Iceberg for Bronze & Silver layers, Spark compute, and Snowflake for Gold analytics gave us the scalability, flexibility, and insight delivery we needed. Our aim is to keep innovating at speed."
– Business Owner, Large Automotive Leader