Reser’s Fine Foods manages a complex transportation network serving retailers and foodservice partners across North America. For Nicole Schumann, Transportation Procurement Manager, the biggest challenge wasn’t collecting transportation data—it was turning that data into insights that could drive better decisions and stronger collaboration with carriers.
With 15 years of experience in transportation, including time in truckload brokerage, Nicole had seen many of the same shipper challenges repeated across the industry: limited transparency, reactive performance management, and fragmented data.
By implementing GoodShip, Reser’s gained a unified platform that centralizes transportation insights, improves carrier collaboration, and enables the team to make faster, more confident decisions. With the addition of Laney AI, the company can now explore network performance and optimization opportunities in seconds rather than hours.
Before adopting GoodShip, Nicole recognized many familiar industry patterns. In her brokerage experience, she had seen shippers repeatedly struggle with the same operational issues—often rooted in a lack of transparency and alignment with carrier partners.
Transportation teams frequently relied on spreadsheets and manual analysis to understand performance across their network. This slowed down decision-making and made it difficult to have productive, data-driven conversations with carriers.
Without a single source of truth, teams spent valuable time comparing reports, validating information, and piecing together insights instead of focusing on improving the network.
Reser’s selected GoodShip to bring transparency and collaboration into its transportation strategy.
The platform consolidates freight data into a single view, allowing the team to monitor carrier performance, evaluate network fit, and track KPI alignment across lanes. This visibility helps the team ensure carriers are positioned in the right places within the network and performing at the expected service level.
GoodShip also creates a more structured environment for working with carrier partners. Instead of relying on fragmented reporting or one-off conversations, the Reser’s team can use shared data to guide productive discussions about performance, pricing, and operational alignment.
Another key differentiator is that carriers themselves can access GoodShip to monitor their performance. This transparency allows carriers to quickly understand where they are succeeding and where improvement is needed, creating stronger accountability and more efficient collaboration.
Since implementing GoodShip, Reser’s has significantly accelerated how quickly it can analyze transportation performance and make decisions.
Previously, the team relied heavily on spreadsheets and manual comparisons. By the time insights were identified, market conditions often had already shifted. With GoodShip, the team can now access consolidated data instantly and identify opportunities across the network in seconds.
The platform also enables Reser’s to monitor carrier performance lane by lane, allowing the team to identify potential service issues early and address them before they impact customers.
With the introduction of Laney, GoodShip’s AI transportation analyst, the team has gained an even more powerful tool for exploring network performance. Instead of manually digging through reports, they can ask complex questions about carrier performance, network fit, and potential improvements—and receive immediate insights.
Laney enables the team to go beyond simple scorecards and analyze deeper network dynamics, helping Reser’s identify where carriers are succeeding, where challenges are emerging, and what changes could improve performance.
Nicole describes GoodShip as collaborative, transparent, and adaptive—qualities that reflect how the platform supports stronger partnerships and smarter decision-making across the transportation network.
For Reser’s Fine Foods, GoodShip has become a central system for understanding and improving freight performance by bringing data, carriers, and decision-making together in one place.
