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Consumer Durables

From Downtime to Digital Precision: How a Leading Aluminum Manufacturer Synchronized Multi-Tier Global Operations

Managing a complex, multi-stage production process with thousands of components often leaves manufacturers trapped in a cycle of production downtime and inflated inventory. Discover how one of the world's leading aluminum housing manufacturers replaced fragmented spreadsheets with o9’s AI-powered "Digital Brain." By mastering end-to-end supply planning and intercompany flows, they achieved a significant step-change in On-Time In-Full (OTIF) deliveries, maximized equipment effectiveness (OEE), and turned sustainability goals into reality by slashing CO2 emissions.

This customer experienced demand planning challenges related to a low-accuracy forecast and great dependence on Excel spreadsheets.

Sustainability impact

Reduction of inventory.

challenges

Complexity to Clarity

Challenge

The company depended greatly on manual exercises of demand planners, by which they copied data from sheets and manipulated the data to obtain demand scenarios. This resulted in time constraints when reacting quickly to changes in demand.

Solution

With o9, they can still use Excel files through o9’s highly differentiated Connected Excel UI, but no longer need to manually move data. By leveraging o9’s unique integrated platform, they won back valuable time.

Value Delivery

Systems Replaced

  • Excel

Key Functionalities Implemented

The o9 Enterprise Knowledge Graph was used to build demand knowledge models that incorporate leading indicators of sell-out (trade promotions and marketing initiatives). o9 leveraged its open architecture by using best-in-class algorithms from R and Python to get to an optimal forecast.

Customer Benefits

success factors

  • o9’s highly differentiated Enterprise Knowledge Graph allows leading indicators of demand to be incorporated and leveraged to produce more accurate forecasts.
  • Reduced manual efforts.
  • o9’s ML capability for demand forecasting.

KPI Impacted

  • Improved demand planning forecast accuracy, enhancing the capability to fulfill impact orders.
  • Improvement in planner productivity.
  • Sell-in sell-out conversion improvement, through better POS data usage, increasing business, and reducing stock-outs.
Metals blog

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