Custom Business Intelligence Layer for a BMW Dealership in Denmark

Industry

Automotive & Mobility

Geography

Denmark, Europe

Cooperation Period

3 months

Executive Summary

The supply chain of a BMW Denmark dealership was tangled in a web of disconnected data, leaving their team frustrated and hunting for answers. We built a Dealer Intelligence Platform, a single command center, that stitches BMW DMS data, supplier files, and forecasting models into a clear backorder dashboard. The result was real-time visibility over stock and service flows, fewer surprise warranty issues, and staff finally able to make proactive decisions instead of reactive firefighting.

About the Client

Our client is a BMW dealership in Denmark with a flair for shiny new rides and meticulously-certified pre-owned vehicles, servicing more than 10,000 BMW owners, delivering experiences beyond the ordinary both within sales and aftermarket. They leaned on BMW’s Dealer Management System (DMS) for their core transactions, but when management wanted the big picture, they found themselves lost in a maze of scattered data and missed insights.

Business Challenge

BMW provides robust OEM systems like DMS and Aftersales Online System (AOS), but these platforms focus on transactional operations they don’t provide the cross-system operational intelligence or custom analytics, but dealerships in Denmark operate in a tight, competitive market where premium brands are vying for both new-car buyers and a growing used-car audience. Online marketplaces like Bilbasen and DBA play an outsized role in how consumers shop for used vehicles, making inventory accuracy and speed-to-market essential.

Meanwhile, supply-chain and logistics problems that have persisted since 2020 continue to ripple through parts availability resulting in backorders and longer lead times. Our client was facing similar issues and were unable to see their parts pipeline in real time. Staff hours were spent chasing missing parts, reconciling spreadsheets, and piecing together fragmented email threads, instead of moving metal.

At our client’s dealership, problems looked like this:

Pulling together live views of sales, stock, and service data in one place was a headache.
Tracking true profitability per car is not easy when marketing promos, discounts, and repair costs all live in different silos.
The service team wanted to act before a row of warranties expired.
Reconciling supplier price lists and chasing after promotional emails was eating up precious hours.
Management tried aligning dealership targets with BMW’s KPIs, but their own performance metrics often slipped through the cracks.

Solution

Our team built a Dealer Intelligence Platform, a kind of “command center”, that sits on top of BMW’s DMS and any other data sources they use. No more hopping between apps and crunching spreadsheets late at night. The platform translates disconnected feeds into a single, actionable view for managers, sales leads, and service advisors.

// CORE FEATURES

Core Features

01.

DMS API Integration

We built a secure lifeline right into BMW’s DMS, pulling sales, service, and customer info into their dashboard.

Results

80% less manual report preparation

Live dashboards replaced weekly Excel exports and end of month reconciliation work.

Fresh insights every 15 minutes

Real time pipelines streamed BMW DMS data and supplier feeds into the backorder dashboard on a quarter hour cadence.

Higher service department utilization

Demand forecasting flagged high load weeks ahead of time, letting service capacity scale before bookings hit.

Real time gross margin per vehicle

Per vehicle margin tracking pulled marketing spend and hidden costs into a single view.

Tech Stack

Frontend: React.js, Material UI for responsive dealer dashboards.
Backend: Node.js, Express.js for API aggregation; Python for data processing and ML forecasting.
Integration Layer: REST API and secure FTP parsers for DMS & supplier feeds.
Database: PostgreSQL for relational data; Redis for caching high-frequency queries.
Hosting: AWS EC2, S3, Lambda (serverless triggers for file ingestion).
Data Visualization: Apache Superset integrated into the dealer portal.

Services Delivered

AI Software & Application Development, Web Development, DevOps

Team Composition

Solution Architect, Project Manager, Backend Engineers, Data Engineers, Frontend Engineers, QA Engineers

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Custom Business Intelligence Layer for a BMW Dealership in Denmark

Executive Summary

About the Client

Business Challenge

Solution

Core Features

DMS API Integration

Email and File Parsing Engine

Inventory Forecasting Module

Multi-Source Analytics Dashboard

Role-Based Access Control

Cloud Hosting and Scalability

DMS API Integration

Results

80% less manual report preparation

Fresh insights every 15 minutes

Higher service department utilization

Real time gross margin per vehicle

Tech Stack

Have a question for our team or need help with your project?

Related Case Studies

Custom Patient App, AI Care Companion, and Revenue Cycle Automation for Cardiovascular Disease Management

IT Consulting and Proof of Concept for a Listed Indian Sugar Producer’s Cane Operations Platform

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