On-time in-full (OTIF)
Pinpoints why deliveries fail across siloed ERP, warehouse and manual data. Teams stop firefighting and fix failures at the source.
$30M in value ready to recover
Each use case is a decision a team takes again and again. We model the part of your business it touches, test the options against that model, and show the reasoning behind the answer.
Supply, service and the decisions that move both.
Split limited supply across customers, internal use and the market, every day.
Find why deliveries fail and fix the cause behind them.
Forecasts that hold up, including launches with little history.
See which orders and customers a delay will hit, and how to protect them.
Track and redistribute reusable packaging before shortages happen.
Post-sales growth, retention and where to point the team.
The same model, reached as calls an agent can make before it acts.
Three delivered projects in supply chain and forecasting.
Pinpoints why deliveries fail across siloed ERP, warehouse and manual data. Teams stop firefighting and fix failures at the source.
Accurate forecasts for launches with long hardware lead times and almost no history.
Live tracking and predictive redistribution of reusable packaging across the supplier network. No more shortages, no more emergency freight.
Bring a decision. We'll discuss how to model it and what data a simulation would need.
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