FleetPride

FleetPride conducted an extensive search for a warehouse management solution that could replace its spreadsheet-driven legacy approaches to direct workflow operations across its distribution centers (DCs). The company selected Blue Yonder Warehouse Management (WMS) as its solution of choice, with the two organizations aligning collaboratively on FleetPride’s goals and vision for its operations in each of its DCs.

FleetPride has standardized the Blue Yonder WMS-driven workflows across five distribution centers. Blue Yonder orchestrates core execution across the company’s warehouse operations, including receiving, put-away, picking, shipping. With consistent role definitions for shipping and receiving managers, operations managers, leads, and floor users, each facility follows the same playbook. Inventory control is similarly structured with a senior inventory leader who oversees all DCs, and each DC has an inventory controller and team, creating a common cadence for counts, adjustments, and investigations. This governance model reduces variability, streamlines training, and supports cross-site benchmarking.

这些成效在日常运营执行中显而易见。员工不再依赖记忆来决定下一步该做什么，因为 Blue Yonder WMS 会对工作任务进行排序，并明确显示“做什么、何时做”，从而帮助新员工稳步熟悉工作，让经验丰富的员工能够更有序地执行任务，并提升整体吞吐量的一致性。随着流程在系统中实现标准化，站点管理人员能够更好地掌控运营并获得可视性，而集中管理团队则可以获取可比的数据，用于分析绩效并消除瓶颈。

Scaling to meet e-commerce growth 

As e-commerce volumes rise, FleetPride leans on the Blue Yonder WMS to scale. The move from spreadsheets to guided workflows brings discipline to receiving and put-away, ensuring items are stowed according to strategy rather than habit. On the outbound side, system-directed picking and packing helps the network absorb volatility—particularly as order profiles and mix change with digital demand. The company’s earlier challenges with traceability and throughput give way to a controlled, measurable process that leadership can analyze and improve.

Blue Yonder WMS also helps FleetPride track order processing and service level agreement data and the company uses it to drive continuous improvement. The combination of standardized roles and shared metrics helps DC leaders compare like-for-like processes and identify opportunities for improvement.

A rapid, low-risk cutover playbook 

Blue Yonder’s Professional Services team committed to an aggressive implementation timeline with FleetPride—roughly three to four months for the first deployment—and brought an experienced team onsite to co-design processes and configuration. Together, the teams adopted a two-phase operation: receive first into the new DC, then increase outbound processes in controlled waves. Running the legacy and new DC in parallel protected customer service, and training and change management were planned into the sequence, so users arrived at go-live with hands-on practice in the new process flows. The result was a successful first implementation that met the timing imperative and set the template for the company’s other DCs.

Building leadership visibility 

Beyond floor execution, FleetPride’s leaders wanted near-real-time insight without heavy data wrangling. Today, teams pull operational data from the Blue Yonder WMS into reporting tools, track KPIs, and share them on daily, weekly, monthly, and quarterly rhythms. Looking forward, FleetPride predicts increased native reporting in the solution so that leadership can see the same truths with fewer manual steps. The company is already standardizing how roles and responsibilities show up in the Blue Yonder WMS with richer built-in dashboards that would compound those gains.

展望未来：扩展覆盖范围并深化价值 

FleetPride plans to expand locations as the business grows and to ensure every area of every DC runs on the Blue Yonder WMS, eliminating islands of manual work, such as overflow zones. Cleaning up pain points like small-parcel shipping inside the Blue Yonder WMS stack is imperative, and natively integrating parcel services natively would simplify workforce training and support.

FleetPride is looking to explore AI with a clear lens: investment only where use cases create real productivity or top-line impact. A joint exploration of AI agents and embedded intelligence is next, with both teams committed to identifying where these capabilities deliver operational lift in the warehouse and beyond.