Carrier Load Management | Optimize volume limits | Shipium
Monitor and forecast daily volume
Volume allocation is monitored hourly
The ship-ai-limits model projects daily volume based on hourly allocation and historical patterns
Monitor and forecast daily volume
Volume allocation is monitored hourly
The ship-ai-limits model projects daily volume based on hourly allocation and historical patterns
Monitor and forecast daily volume
Volume allocation is monitored hourly
The ship-ai-limits model projects daily volume based on hourly allocation and historical patterns
Monitor and forecast daily volume
Volume allocation is monitored hourly
The ship-ai-limits model projects daily volume based on hourly allocation and historical patterns
Volume allocation is monitored hourly
The ship-ai-limits model projects daily volume based on hourly allocation and historical patterns
Automate allocation across carriers
Dynamic modifiers influence carrier selection based on commitments
If Carrier A is tracking at 73% against a target of 70%, modifiers are added to influence Shipium’s model
Modifiers do not not impact the carrier’s true contracted price
Automate allocation across carriers
Dynamic modifiers influence carrier selection based on commitments
If Carrier A is tracking at 73% against a target of 70%, modifiers are added to influence Shipium’s model
Modifiers do not not impact the carrier’s true contracted price
Automate allocation across carriers
Dynamic modifiers influence carrier selection based on commitments
If Carrier A is tracking at 73% against a target of 70%, modifiers are added to influence Shipium’s model
Modifiers do not not impact the carrier’s true contracted price
Automate allocation across carriers
Dynamic modifiers influence carrier selection based on commitments
If Carrier A is tracking at 73% against a target of 70%, modifiers are added to influence Shipium’s model
Modifiers do not not impact the carrier’s true contracted price
Dynamic modifiers influence carrier selection based on commitments
If Carrier A is tracking at 73% against a target of 70%, modifiers are added to influence Shipium’s model
Modifiers do not not impact the carrier’s true contracted price
Continuously refine the process
Executed shipment data is used to further train the model
Smarter volume allocation creates more opportunities for pure rate shopping and downgrades to ground methods
Continuously refine the process
Executed shipment data is used to further train the model
Smarter volume allocation creates more opportunities for pure rate shopping and downgrades to ground methods
Continuously refine the process
Executed shipment data is used to further train the model
Smarter volume allocation creates more opportunities for pure rate shopping and downgrades to ground methods
Continuously refine the process
Executed shipment data is used to further train the model
Smarter volume allocation creates more opportunities for pure rate shopping and downgrades to ground methods
Executed shipment data is used to further train the model
Smarter volume allocation creates more opportunities for pure rate shopping and downgrades to ground methods
