Manufacturers and distributors rarely struggle because they lack technology. They struggle because their decisions are disconnected.
Demand planning happens upstream. Transportation execution happens downstream. Finance evaluates margin after the fact. When these systems operate independently, parcel and freight costs become margin surprises instead of managed variables.
For organizations managing both high parcel volume and complex freight networks, this disconnect creates hidden cost-to-serve variability across customers, regions, and products.
TransImpact and FreightPOP help close that gap by connecting demand forecasts with real transportation behavior — across parcel and freight alike. The result is a continuous feedback loop between planning, execution, and profitability.
TransImpact helps organizations forecast demand with greater accuracy and operational realism.
Its demand forecasting and planning models account for:
Stronger demand planning improves purchasing decisions, production schedules, and inventory allocation. It stabilizes supply chains and supports working capital objectives.
But even the most accurate forecast carries embedded assumptions — including assumptions about how goods will move once orders are released.
Forecasting may define expected order volumes, geographic demand distribution, and service targets. However, real-world transportation variables ultimately shape delivered margin, including:
Without feedback from transportation execution, demand plans lack visibility into true cost-to-serve outcomes.
FreightPOP is an AI supply chain software platform that centralizes multimode transportation execution across parcel, LTL, FTL, volume LTL, ocean, air, and additional modes.
It enables organizations to:
From high-volume parcel distribution environments to freight-heavy carrier networks, FreightPOP provides operational control across the transportation lifecycle.
However, execution data alone does not automatically influence planning assumptions. Operational intelligence must be embedded directly into workflows to create meaningful feedback.
FreightPOP Intelligence is the embedded AI layer across the FreightPOP platform. It continuously interprets live transportation data across parcel and freight activity, including:
As a copilot, it explains true transportation cost by customer, SKU, lane, or region.
As an agentic intelligence layer, it detects anomalies, flags service risks, and initiates workflow actions in real time.
Instead of relying solely on retrospective reporting, teams gain contextual visibility as shipments are being planned, executed, and audited.
This intelligence becomes significantly more powerful when connected back to demand planning systems.
Individually:
Together, they create a closed-loop system where forecast assumptions and transportation outcomes continuously inform each other.
Organizations can begin to answer more strategic questions:
TransImpact defines expected demand patterns. FreightPOP Intelligence validates whether parcel and freight execution supports or challenges those expectations.
This alignment transforms transportation from a reactive cost center into a measurable planning input.
When connected, the workflow becomes structured and repeatable:
Over time, this continuous loop improves:
When planning and transportation operate independently, organizations discover cost volatility after orders ship.
When TransImpact and FreightPOP operate together, demand strategy reflects transportation reality — including parcel cost dynamics — and logistics decisions support forecast priorities from the outset.