Predict returns. Reduce volatility. Increase profit.
Our latest article shows how OEMs can cut planning deviations by up to 30% using machine-learning-based return forecasts. The result: smoother compound operations, less idle time, and smarter remarketing decisions. And the best part? A lightweight prototype can prove the value fast — before any major IT investment.
When breakfast meets automotive engineering & sales Mix-your-own muesli shops are a great reminder of how quickly options multiply. A few choices - say, base grains, fruits, nuts, and toppings - can already result in thousands or even millions of combinations....
The Challenge: Legacy Complexity Meets Strategic Pressure In industries like automotive and logistics, transformation is no longer optional – it's a competitive necessity. Yet one major obstacle continues to slow progress: highly customized, organically grown IT...
“We spend millions on reporting—and still don’t get the answers we need.” The frustration was unmistakable. The sales director had just reviewed the latest retail performance dashboard. On slide 12, three countries were missing. On slide 18, numbers didn’t match what...
Driving Sales & Customer Experience through a Centralized Customer Data Pool Many automotive OEMs face persistent challenges in crafting truly personalized customer experiences, largely due to fragmented access to high-quality, actionable customer data. This data...
Transparent Tracking & Forecasting along Vehicle Distribution Routes for Automotive OEMs If you are involved in the sales process of a newly manufactured vehicle, you will likely be familiar with the lack of transparency during the finished vehicle’s...
As data becomes an indispensable asset, the automotive industry faces urgent challenges with the enforcement of the EU Data Act on January 11, 2024. This legislation demands immediate and strategic action from automotive OEMs, fundamentally altering the dynamics of...
B2B Digital Parts Trading Platform Strategy: Transforming Automotive After Sales European passenger and commercial vehicle manufacturers (OEM) face an increasingly challenging market environment. Buyers’ reluctance, new competitors and massive investment needs for...
Data spaces in the automotive industry can make a significant contribution to improving efficiency, innovation and collaboration. They offer a trustworthy, secure and interoperable environment for the exchange of data between different participants in the value chain....
Die Pandemie hat vielfältige Auswirkungen auf die Arbeitswelt; insbesondere Schulungsformate sind betroffen. Online-Alternativen erinnern jedoch meist an reine Frontalbeschallung. Die Automotive Schnitzeljagd nimmt sich der Herausforderung an und setzt auf Interaktives Lernen, den Austausch untereinander und vermittelt neben Fachwissen auch wichtige Soft Skills.
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