Most consumer goods manufacturers struggle with fragmented supply chain visibility, causing inventory write-offs and avoidable overhead losses. Without predictive risk assessment, obsolescence drivers remain hidden and inventory decisions stay reactive.
Most consumer goods manufacturers struggle with fragmented supply chain visibility, causing inventory write-offs and avoidable overhead losses. Without predictive risk assessment, obsolescence drivers remain hidden and inventory decisions stay reactive.
A global beer manufacturer facing rising annual obsolescence losses across large-scale multi-region operations worked with ZDS to build driver and risk assessment models that identify root causes, predict obsolescence exposure, and enable smarter inventory planning decisions.
The models gave supply chain teams a forward-looking view of obsolescence risk — shifting decisions from reactive write-offs to proactive planning, and reducing avoidable losses across regions.
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