Nexus Supply Chain managed inventory across 12 cold-storage facilities, each operating independently with their own forecasting spreadsheets. Shelf-life constraints meant spoilage was a constant cost — averaging 8% of inventory value annually. Meanwhile, stockouts in high-demand regions forced expensive emergency transfers between facilities.
IntelliSyncs deployed an AI-driven demand forecasting engine that ingests historical sales, weather data, promotional calendars, and supplier lead times to predict demand at the SKU-facility level. A unified inventory optimization layer automatically balances stock across all 12 facilities, prioritizing FEFO rotation and flagging at-risk inventory for markdown or transfer.
Measurable impact, delivered
Every metric verified against baseline — not projections, production numbers.
Stack powering this deployment
The systems, platforms, and integrations that made this project possible.
“We cut spoilage by a quarter and nearly eliminated stockouts across 12 facilities. The AI spots demand shifts weeks before our planners ever could.”