ProShip Unveils New Optimization Tool: Smarter Shipping Decisions, Made Simple

Brookfield, WI – January 23, 2026 – ProShip, the leader in enterprise multi-carrier shipping software, is proud to announce the launch of a new configuration and decision-management tool at Manifest 2026 that transforms how businesses make shipping decisions in complex, high-volume environments.
Engineered for the most demanding multi-carrier shipping environments, this new solution builds on ProShip’s existing Advanced Date Shopping feature, which powers intelligent carrier selection behind the scenes by evaluating service options, cutoff times, cost trade-offs and more to ensure the best outcome for every shipment. Until now, configuring this type of shipping decision logic often required custom coding and technical expertise across the industry. ProShip’s new approach removes that barrier by giving teams a streamlined way to manage and adjust these rules without relying on developers.
With this innovation, logistics teams can:
Configure without code: Set carrier cutoff times, create rules such as service-level preferences or cost thresholds, and manage decision logic through an intuitive interface.
Visualize every choice: See how each shipment was optimized, which carrier won, and why, building confidence in every decision.
Measure impact: Track cost savings, compare performance across carriers, and quantify ROI with clear, actionable analytics.
Beyond cost savings, this solution empowers shippers with greater control and strategic flexibility, enabling parcel strategies that scale and adapt to evolving business needs.
“ProShip’s goal is to take the complexity out of optimization,” said Jeffrey Lukaszewski, Senior Director of Technology at ProShip. “It gives businesses the transparency and control they need to make smarter decisions, faster.”
By combining automation with real-time insights, this innovative tool gives teams a clear view into how each business rule impacts carrier selection, cutoff compliance, and total landed cost. Operations teams can adj