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Automotive Suppliers

Beyond the Spreadsheet: How a Global Auto Supplier Boosted Forecast Accuracy by 10+ Points

Faced with high variability in OEM forecasts and a reliance on manual Excel sheets, this leading automotive and industrial supplier was struggling to predict demand accurately. Discover how they deployed o9’s Digital Brain to automate forecast consolidation, leverage external market drivers, and achieve a 10+ percentage point increase in forecast accuracy.

This customer faced high variability in the quality and accuracy of OEM forecasts. The company was unable to leverage external market drivers to predict demand and depended largely on Excel.

Sustainability impact

Forecast accuracy improvement reduces expedited logistics as well as excess inventory.

challenges

Complexity to Clarity

Challenge

There was an absence of demand alignment across OEM forecasts, which were stored in multiple Excel sheets.

Solution

With o9, the company is able to automate the consolidation of OEM forecasts on one single platform, including trend analytics, enriched with bottom-up sales forecasts. Moreover, intelligent triangulation of OEM forecasts is sent to multiple plants for the identification of mismatches.

Value Delivery

Systems Replaced

  • Excel
  • SAP APO

Key Functionalities Implemented

The o9 platform is used to run demand forecasts, high-level S&OP, capacity checks, trend analytics, and automate OEM forecasts, while leveraging o9’s machine learning forecasting models.

Customer Benefits

success factors

  • Deep industry knowledge in the auto supplier and discrete manufacturing industry.
  • The future-proof planning platform allows for leapfrogging to best-in-class planning and decision-making.
  • Very intuitive UI/UX that users love, which boosts user adoption.

KPI Impacted

  • Forecast accuracy improved > 10 percentage points — from x7% to x8%.
  • Improvement in planner productivity, in line with previous experiences (15–25%).
  • Higher automation of tasks, estimated at 30% of the initial baseline.
Data sharing automotive white paper mockup

How Automotive Leaders Are Reimagining Supplier Collaboration

In today’s volatile supply chain environment, access to real-time, multi-tier data is no longer optional—it’s a competitive necessity. This white paper, co-authored by EIPM, LCL, and o9 Solutions, explores how the automotive sector is overcoming long-standing barriers to data sharing through bold new models of collaboration.

From Catena-X to real-world OEM case studies, you’ll learn what it takes to build resilient, transparent, and future-ready supply chains.

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