Most automotive businesses are not short of data. Line systems log every stoppage. The ERP holds every purchase order. Dealer and customer platforms record every sale. The difficulty sits in the gaps between them. When production, supplier, inventory, quality and customer data live in separate systems, analysts end up reconciling numbers instead of explaining them. By the time the month-end pack is ready, the shortage, scrap spike or demand shift it describes has usually already reached the P&L.
KEPLER Advanced Analytics provides Automotive Data Analytics Services for OEMs, tier suppliers and dealer networks. We connect data across the value chain, build the analysis around specific business decisions and keep it relevant as those decisions change.
Manufacturing, procurement, logistics, quality and CRM each run on their own systems, with their own part codes and their own version of the truth. Nothing meaningful happens analytically until those sources agree with each other.
A late supplier shipment. A build-up of slow-moving stock. A quality escape on one line. These rarely arrive without warning. The signals are usually sitting in the data, just not in front of the people who need to act, at the point they need to act.
Plenty of automotive businesses hold years of transactional history and still run the weekly review off spreadsheets and departmental reports. Each function sees its own slice. Very few see how a delay at one supplier turns into overtime on the line and a missed dealer commitment three weeks later.
We work across manufacturing execution systems, ERP, supply chain platforms, supplier portals, sales and customer data, plus the spreadsheets the business still depends on. The result is one analytics foundation that operations, finance and commercial teams can all work from.
Our Automotive Data Analytics capability spans descriptive, diagnostic, predictive and advanced analytics across manufacturing, supply chain, procurement, sales and after-sales. The aim is not a thicker stack of reports. Most organisations already have plenty. The aim is a clear read on performance, earlier sight of exceptions and decisions grounded in data the business already owns.
Production, operational and financial performance tracked against plan, with trends and exceptions flagged for attention.
Supplier, inventory and logistics data brought together to show where the supply chain is holding up and where it is starting to slip.
Throughput, downtime, OEE, scrap and quality measures analysed at line and plant level, so the root cause gets fixed rather than the symptom.
Forecasting, risk scoring and scenario models that support forward planning instead of explaining last month.
Sales and dealer performance, customer behaviour and demand patterns, analysed to inform allocation, pricing and commercial planning.
Dashboards built around the metrics each audience actually uses, from the plant floor up to the leadership team.
Bring a real business question, report or dataset — we’ll show you how KEPLER would approach it, with no obligation.
Book a 60-minute sessionA large analytics transformation is rarely the right opening move. We prefer to prove value in one area first, then scale. Typical starting points include:
We deliver an initial solution against that scope, then extend the work as further requirements come into focus.
The same practical approach, whether we’re supporting one analytics workstream or working as an extension of your broader team.
We start with the decision, not the data. What needs deciding, who decides it, and what they are looking at today.
Then the sources: ERP, MES, the supplier portal, CRM. Usually a few spreadsheets as well, the ones nobody mentioned in the first meeting.
Part codes that don't match between systems. Duplicate supplier records. Dates in four different formats. Fixing all this is unglamorous work, and it is the reason people end up trusting the output.
Only now do the dashboards and models get built.
Reports someone used to assemble by hand start running on their own, and the solution keeps getting adjusted as the business moves.
Put plainly, the goal is fewer surprises.
A real-time control tower across the chain.
Governed dashboards and self-service.
Pipelines, integration and automation.
Predictive, prescriptive and AI-driven models for more complex business decisions.
Flexible access to analytics expertise without building the complete function internally.
Ongoing analytics support for organisations that need a dependable external capability.
You don’t have to build every analytics skill in-house. Whether you’re trying to clear a reporting backlog, need extra analytics capacity, have a new use case in mind, or are looking for ongoing support, KEPLER can work alongside your team and take on the analytics work you need help with.
Talk to KEPLER Advanced Analytics Team