Why Swedish dealership groups lose a week every month to data they already own

It's Friday afternoon. Someone at your dealership logs into the OEM portal, downloads a CSV, strips out 11 irrelevant columns, renames a few fields, and pastes everything into a report template built two years ago by someone who no longer works there.

This happens every week. At most large Swedish dealer groups, it happens at every location.

The data exists. You have it. The problem is that it lives in 4 different systems, none of which talk to each other by default. And so the work of making sense of it falls on your people, every single week, manually.

According to Cox Automotive's Power of Data Study, 70% of dealerships say lags in real-time data make their insights less useful. 54% have experienced conflicting figures across multiple internal sources.

That's not a technology gap. That's a workflow tax, paid every week in hours.

TARGIT, which works with 400+ dealer groups across Europe, documented one case where a group spent a full week per month just handling DMS data before any reporting could happen. Another group tracked 30-45 minutes per accountant per day on manual reports. At one location. Multiply that across a network of 200 dealerships and the math gets uncomfortable quickly.

McKinsey's 2025 study on automotive sales productivity found that employees across the industry spend up to 20% of their working week searching for information. Not analysing it. Searching for it. The vehicles are sold. The revenue is real. 

But the data trail is scattered across OEM portals, DMS exports, CRM logs, and regional spreadsheets that don't share a common structure.

Cross-location inventory visibility is the most immediately costly data gap in any multi-rooftop group. A vehicle sits at one location for 90 days while a buyer three dealerships away is asking for exactly that configuration. Without a shared data layer, neither salesperson knows.

AutoAlert describes the problem plainly: the cars are there, just not where the salesperson has access to them. Industry data puts ideal used car turnover at 12 times per year. Aging stock drags that number down and compounds quickly at scale.

Sales agents send quotes all week. How many went out? From which location? Which ones converted? For most Swedish dealer groups, the answer requires someone to manually compile CRM exports, cross-reference with DMS data, and produce a weekly spreadsheet that's already a week old by the time it's read.

When you can't see offer volume and conversion by agent, by location, and by model in real time, you're managing the business from memory instead of data.

The Daimler internal systems that dealer groups depend on for sales data are not built for programmatic access. 2FA requirements, CSV-only exports, and periodic authentication changes mean that any automated data pipeline you build can break overnight. When it does, the fallback is manual.

This isn't a criticism of the OEM. Their systems are built for compliance and vehicle operations, not for the cross-location analytics a group at your scale needs. The gap has to be bridged somewhere. Right now, for most groups, it's bridged by people.

What small fixes actually look like in practice

The instinct when you hear "data infrastructure" is to picture a six-month project, a new system, and a budget that needs board approval. That's not the only way this works.

The most effective starting point is usually the highest-friction weekly task. For most dealer groups that's the sales reporting cycle: pulling data from the OEM portal, cleaning it, pushing it into a BI tool, distributing it. That specific workflow can be automated without replacing your DMS or your reporting tool.

One Nordic dealership group reduced their weekly reporting time by a factor of 10. The change was a scheduled data job that pulls from the OEM system, cleans the relevant fields, and feeds directly into their existing Power BI environment. No new dashboards. No new systems. The reports they already had, running without anyone touching them.

From there, the next layer is offer statistics: a lightweight interface where sales agents upload their weekly quote data, which rolls up automatically into group-level dashboards. No full CRM replacement. A single integration point that removes one manual process.

The principle is that you don't have to rebuild everything to stop losing the week. Find the workflow that costs the most time. Fix that first. Then the next one.
 

The hesitation we hear most often from dealership groups isn't "we don't want this." It's "we've invested in things before and the ROI didn't land."

That's a fair concern. And the answer isn't to promise a percentage improvement before we've looked at your actual data flows.

The answer is to start with a scoped piece of work. Map the specific manual workflows that cost the most time. Estimate that cost in hours per week, per location, across the group. Then decide whether automating that one workflow justifies the investment. Usually the math is straightforward.

Renault Retail Group Dublin did exactly this with their after-sales absorption ratio. By moving from manual reporting to automated dashboards, their ratio improved from 70% to 82%. That's a direct profit number, traceable to a specific operational change.

Sweden's new car market contracted 7% in 2024. The used car market is volatile. In that environment, the areas where dealer groups still control their own fate are used cars, aftersales, and service. All three depend on seeing the right data at the right time. The groups building that capability now are the ones better positioned when the market recovers.

If your team is spending hours every week on data tasks that should run automatically, that's worth a 30-minute conversation.

We work with companies that have the data but not the infrastructure to move it where it needs to go. We map the specific workflows that cost the most time, scope the fix, and build it. No unnecessary systems. No long discovery phases.

Book a 30-minute call and we'll tell you honestly whether we can help.