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In-house enterprise inventory management solution for automotive corporation

Client
The US distributor of one of the world's leading manufacturers of luxury and commercial vehicles
Industry
Automotive
Services
Data migration, data architecture, data engineering, cloud migration
Tech
AWS, Amazon S3 with Delta Lake, Snowflake, Amazon Kinesis Data Streams, Databricks, Power BI, AWS App Runner, Amazon RDS, AWS SageMaker, AWS IAM, Amazon CloudWatch

Challenge

The client, a US distributor for a leading global automotive manufacturer, was using a third-party enterprise inventory management system (EIMS) that was not designed for the scale or speed required by the business. Managing new and used vehicle inventory across dozens of US dealerships, the platform left the client reliant on an external provider and constrained by functionality that hampered both day-to-day efficiency and strategic decision-making. What the client really needed was control. An in-house, purpose-built solution capable of sending real-time vehicle availability to certified partners, feeding precise data to third-party listing sites, and supporting advanced analytics on top of that. They hired ITRex to design the solution and transform their inventory data into a valuable business asset.

The scope:
An in-depth assessment of the existing inventory ecosystem—digital platforms used by the client and dealers, data flows, the PIE data augmentation process, vehicle model data sourcing, reporting capabilities, and security protocols
Implementing a new enterprise inventory management solution providing near-real-time data flow and a robust data warehouse capable of storing, organizing, and analyzing large volumes of inventory data
Deployment of a modern tech platform with a seamless migration of all existing data assets—no disruption to ongoing dealership operations

Solution

Instead of replacing the legacy system feature by feature, ITRex organized the engagement around how the business actually worked—operations, sales, and the partner ecosystem. The team began with a collaborative discovery phase, mapping the client's entire inventory ecosystem, including dealership operations, third-party integrations, and reporting dependencies, to pinpoint where data availability, accuracy, and timeliness were failing. That foundation shaped a platform designed not only to replace what was already there but also to enable capabilities that the client lacked previously, particularly in analytics and partner data sharing. The end result is a custom-built EIMS that collects data from dealers in near-real time, enriches it, and distributes it to partner platforms, third-party listing services, analytics systems, and the internal sales team. The platform acts as a centralized source of truth for vehicle inventory across the entire dealer network, standardizing data collection, enrichment, and distribution. Migration was completed with no business disruption. ITRex ran the new platform alongside the legacy system via parallel data channels, gradually onboarding partners and vendors until the backup channel was completely phased out—no data loss, no operational gaps. The platform's core components include:
A robust, cloud-native data warehouse serving as the single source of truth for inventory data
An efficient pipeline for gathering and processing inventory data and images from dealers, converting raw submissions into a standardized, usable format
A validation layer that cross-checks collected data against factory databases for accuracy
Image replacement, swapping dealer-submitted photos for branded photography on partner platforms to maintain brand consistency
A universal search engine with extensive filtering capabilities
A subscription API for automated inventory data updates
A data provider API enabling straightforward integration with third-party platforms
Secure data encryption protocols throughout

Impact

For a company that manages vehicle inventory across dozens of dealerships, the difference between what's on the lot and what's on the listing site means lost revenue. The platform ITRex built closed this gap.
Inventory accuracy improved to over 90%, cutting miscounts and data discrepancies across every dealership location
Stockouts and listing errors dropped by 35%, improving vehicle availability across partner sites and direct sales channels alike
Working capital efficiency rose by 20%, as real-time visibility and precise forecasting minimized excess and obsolete inventory
A 25% reduction in manual reconciliation and reporting work, freeing analyst and sales team capacity for higher-value tasks
A 15% improvement in revenue capture, due to fewer lost sales opportunities from inaccurate inventory visibility and delayed updates
Near-real-time trend analysis cut decision cycle time by 45%, giving leadership the speed to adjust pricing and sales strategy before the window to act closes.

Architecture overview

Cloud platform: AWS
Data storage: Amazon S3 with Delta Lake (raw, semi-structured, and curated inventory data), Amazon RDS (application data)
Data warehouse: Snowflake
Data ingestion: Amazon Kinesis Data Streams (near-real-time, high-volume ingestion from dealerships and partners)
Data processing & transformation: Databricks (Apache Spark)
Analytics & semantic layer: Databricks + Snowflake
Data visualization & reporting: Power BI
Application hosting: AWS App Runner
Advanced analytics & AI: AWS SageMaker (predictive analytics, inventory optimization)
Governance & monitoring: AWS IAM (access control), Amazon CloudWatch (reliability and performance tracking)
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