Optimize inventory
across the network.
Optimize inventory across plants, DCs, hubs, and stores as one connected network.
Trusted by enterprise teams worldwide
Safety stock duplicated across the network
Pooling opportunities hidden in silos
Service targets driving excess inventory
Static optimization models ignoring real variability
Betaknot treats your supply chain as one connected inventory network optimizing where inventory should sit, how much buffer is needed, and which echelon should absorb variability. Model service targets, lead times, and demand uncertainty together to continuously position inventory where it creates the most leverage.
Optimize inventory across every node as one connected system.
Reduce duplicated buffers- Optimize inventory placement
- Network-wide inventory visibility
- Lower total inventory exposure
Capture demand and lead-time variability across every node.
- Stochastic demand modeling
- Lead-time variability analysis
- Node-level risk calibration
- More accurate safety stock
Set customer-facing service targets and optimize every upstream echelon.
- Customer-first service targets
- Cascading upstream optimization
- Balanced inventory positioning
- Reduced upstream excess stock
Quantify the impact of pooling and postponement strategies before changing the network.
- Regional inventory pooling
- Postponement analysis
- Working capital reduction
- Consolidation impact modeling
Simulate supplier, lead-time, and network changes before making decisions.
- New node simulation
- Supplier impact analysis
- Lead-time sensitivity modelling
- Scenario-based network planning
Keep inventory positioning aligned with changing demand and supply conditions.
- Monthly optimization cadence
- Event-triggered re-runs
- Dynamic inventory recalibration
- Continuous network adaptation
Optimize inventory across every node as one connected system.
- Reduce duplicated buffers
- Optimize inventory placement
- Network-wide inventory visibility
- Lower total inventory exposure
Capture demand and lead-time variability across every node.
- Stochastic demand modeling
- Lead-time variability analysis
- Node-level risk calibration
- More accurate safety stock
Set customer-facing service targets and optimize every upstream echelon.
- Customer-first service targets
- Cascading upstream optimization
- Balanced inventory positioning
- Reduced upstream excess stock
Quantify the impact of pooling and postponement strategies before changing the network.
- Regional inventory pooling
- Postponement analysis
- Working capital reduction
- Consolidation impact modeling
Simulate supplier, lead-time, and network changes before making decisions.
- New node simulation
- Supplier impact analysis
- Lead-time sensitivity modelling
- Scenario-based network planning
Keep inventory positioning aligned with changing demand and supply conditions.
- Monthly optimization cadence
- Event-triggered re-runs
- Dynamic inventory recalibration
- Continuous network adaptation
You can move forward with full trust, no guess work
See how Betaknot helps enterprises reduce network-wide inventory, improve service consistency, and position inventory intelligently across every echelon.