Case study: German Automotive Brand

From Fragmented Quotations to a Data-Driven Sales Platform

Delivery Strategy Technology
In summary

Goal

Transformed the quotation process for a premium automotive brand in Thailand through a unified digital platform that improves customer experience and gives the business visibility of its own sales data for the first time.

Areas covered

Digital sales process design, API-based architecture, governance framework development, regulatory compliance integration, and advanced analytics.

Outcomes

Deliver an integrated digital quotation platform that aligns fragmented sales channels, improves customer satisfaction, reduces operational overhead, and provides real-time sales analytics across the business.

Insight Gained

The customer experience problem was a data problem in disguise. Fixing the quotation process didn't just improve how customers received their quotes — it unlocked visibility across the sales operation that the business had no way of accessing before.

€200k+
Operational cost savings
50%
Reduction in IT support tickets
+1.3 pts
Customer satisfaction uplift
In depth
For a premium automotive brand, the quotation process is one of the most consequential moments in the customer journey.

It shapes first impressions of the brand, sets expectations about the purchase, and either builds or undermines confidence in the sales relationship.

For this client, that process relied on spreadsheets and handwritten notes. Dealerships produced quotations inconsistently, errors were common, and customers received quotes that bore little resemblance to the premium experience the brand promised. Worse, because the process was entirely manual and unconnected, the business had no meaningful data on quotation activity — no reporting, no analytics, and no way to understand the relationship between marketing activity and sales performance.

The problem was not simply a poor customer experience. It was a structural absence of data that left leadership operating without visibility of one of their most critical commercial processes.

The objective was to design and deliver a fully digital quotation solution that enabled customers and sales consultants to configure vehicles and finance offers across physical and digital touchpoints — and that generated, for the first time, a reliable and real-time picture of quotation activity across the business.

For a brand operating at the premium end of the market, the stakes were higher than a standard digitisation project. Every customer interaction is a brand moment, and the quotation process — often the first substantive exchange between a buyer and the business — was actively undermining the experience the brand had spent considerable resource building elsewhere.

The solution needed to work consistently across every channel: in-dealership on an iPad, via email, through social messaging. It needed to integrate with existing and future back-office systems without requiring costly additional development each time. And it needed to meet data protection and regulatory requirements without those constraints dictating the user experience.

Equally important was operational independence. The platform had to be designed so that the client’s teams could manage, configure, and update it without reliance on external technical support — giving the business genuine control over a tool that sat at the heart of its sales operation.

ddx applied an API-based architecture to decouple core systems while enabling consistent data flow across channels — ensuring that a quote produced on a dealership iPad, via email, or through a social messaging platform drew from the same source and produced the same output.

Clear governance models were established early to manage integration, data ownership, and regulatory compliance. Rather than treating these as constraints to be managed at the end of the build, ddx embedded them into the architecture from the outset — reducing the risk of costly redesign and ensuring the platform could integrate with future systems without additional development.

Analytics were built into the solution from day one, giving sales and marketing teams real-time dashboards and automated reporting. A business self-service model was adopted so that the client’s teams could manage, configure, and update the platform without reliance on IT support — a decision that would prove significant in the results.

Within 12 weeks, the first customer-facing version of the digital quotation tool was live across physical and digital touchpoints.

Customers transitioned from receiving handwritten or spreadsheet-based quotes to a fully digital experience delivered via email, social messaging, or in-dealership iPad — consistent with the premium brand they had chosen.

Customer satisfaction in the quotation phase increased from 7.1 to 8.4 within the first quarter after go-live. Real-time dashboards gave sales and marketing teams the ability to adjust campaigns and promotions based on live data — something that had not been possible before — while executive leadership gained access to performance insights that had simply not existed.

The self-service model reduced IT support tickets by 50% within six months, delivering cost savings of more than €200,000. The platform subsequently integrated directly into the client’s new contract management system without additional development.

Aligning multiple sales channels — physical dealerships, digital platforms, and back-office systems — within a single, coherent solution was the primary technical challenge.

Each channel had its own legacy constraints, and ensuring consistent data flow across all of them required both rigorous architecture and clear governance from the start.

Regulatory compliance added further complexity. Embedding data protection requirements into the platform rather than retrofitting them after the fact was the right decision, but it required discipline and alignment across all workstreams from day one.

The broader lesson reflects the Insight Gained: the client came to ddx with a customer experience problem, but the more significant issue was the absence of data. A business that cannot see what its sales operation is doing cannot manage it effectively. Solving the experience problem and solving the data problem turned out to be the same piece of work.

More work

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