Synchronizing the World’s Largest Tool Network for Stanley Black & Decker

Stanley Black & Decker is more than a manufacturer; it is a global powerhouse recognized for iconic brands like DEWALT, BLACK+DECKER, and CRAFTSMAN. While famous for consumer tools found in garages worldwide, the company also maintains a massive, complex footprint across industrial manufacturing and high-volume consumer goods segments.

As an organization built on the principle of “making things better,” Stanley Black & Decker is constantly seeking internal refinements to better serve its global customer base. However, maintaining the world’s largest tool network requires more than just great products—it requires a world-class supply chain.

The challenge: Modernizing and breaking down silos

Historically, Stanley Black & Decker’s logistics operations were managed at the site level. While each location was high-performing, they operated as independent entities. Each site utilized its own manual workflows, leading to a fragmented network. Over time, the reliance on disparate data presented a major hurdle.

Leadership lacked real-time visibility into shipment statuses and, more importantly, had no clear view of total landed costs. Without a unified system, maintaining a consistent route guide or ensuring compliance across the network was nearly impossible. Decisions were often made based on each site’s preference rather than a systematic strategy for the overarching company.

At times, this level of fragmentation also impacted order quality. With more than 40,000 unique SKUs across products, vendors, and locations, incomplete or inconsistent data caused approximately 2,000 manual order corrections each month. Orders would not move forward until someone corrected the missing information, extending cycle time and creating the potential for downstream disruption.

“We had world-class sites operating independently, but we knew our next level of growth required a more cohesive strategy,” said Ben Bauman, manager, global 4PL logistics at Stanley Black & Decker. “We needed a partner that could provide the technology to see our network clearly and the expertise to help us act on what we saw.”

The solution: Connecting the Stanley Black & Decker network

To solve these challenges, Stanley Black & Decker chose C.H. Robinson to implement an integrated solution centered on a proprietary global transportation management system (TMS). To minimize operational disruption, C.H. Robinson executed a strategic, site-by-site rollout across 12 North American locations.

The connected TMS, powered by C.H. Robinson Lean AI, established the common data, workflows, and business rules needed to standardize execution. It also created the foundation for AI solutions that act on that context, automating routine decisions so team members can focus on higher-value opportunities.

A systematic approach to execution

The transition moved Stanley Black & Decker away from manual processes and toward a state of API-driven connectivity. This shift now provides a real-time window into the entire network with dynamic, real-time dashboards, while Lean AI applies Stanley Black & Decker’s business context to improve the quality and speed of daily decisions.

• Automated routing: C.H. Robinson replaced manual carrier selection with a systematic routing guide. This allows corporate leadership to dictate the overarching strategy while ensuring flawless, automated execution at each site.
• Mode optimization: Utilizing the C.H. Robinson customer platform, the Stanley Black & Decker system now automatically selects the most efficient mode—parcel, LTL, full truckload, or intermodal—based on real-time needs rather than personal preference.
• Blended procurement: Because C.H. Robinson manages the procurement process for the entire North American operation, there is a solid blend of legacy carrier relationships from Stanley Black & Decker with the expansive C.H. Robinson contract carrier network to ensure a best-fit approach for every lane.
• Autonomous order correction: Lean AI Planner uses Stanley Black & Decker’s business rules, product attributes, historical shipping behavior, vendor requirements, transportation preferences, and operating procedures to determine what order information is missing and correct it upstream.
• Continuous refinement: The route guide is no longer static; it is refined annually (or more frequently) based on performance data, allowing for evidence-based conversations with carriers.

Strategic innovations that went beyond initial implementation

1. LTL pooling project

By diving deep into TMS data, C.H. Robinson engineers identified a significant opportunity to consolidate long-haul less than truckload (LTL) shipments. By identifying shipments moving across similar regions at similar times, the team engineered a pooling model.

This involved collaborative process mapping between site stakeholders and the C.H. Robinson supply chain engineering team. Following a successful pilot and a mini-procurement event to secure the right capacity, the pooling model was integrated into the daily workflow. This turned a complex, manual consolidation task into a repeatable strategic advantage for the entire region.

“C.H. Robinson didn’t just hand us a software login; they became an extension of our team,” said Ben Bauman. “The pooling project is a perfect example—they identified an efficiency gap we didn’t know we had and engineered a solution that wouldn’t have been possible without their TMS and engineering expertise.”

2. Digitalizing air spot quotes

Stanley Black & Decker previously managed air spot quotes via manual spreadsheets and emails, resulting in limited visibility and operational friction. C.H. Robinson modernized this by implementing a spot bid workflow within the TMS, automating quote requests, bid collection, and carrier selection.

This transition, supported by C.H. Robinson-led training and change management, delivered over $957K in savings in the first two years, and an additional savings continuing to accrue. To further optimize the process, C.H. Robinson:

• Integrated EDI connectivity with forwarders to automate data flow and tracking.
• Developed custom dashboards to provide real-time visibility into air freight carrier performance and spend.

The success of the spot bid implementation has served as a proof of concept for Stanley Black & Decker, which is now transitioning its entire global air freight operation into the TMS.

3. Continuous network optimization with Lean AI Engineer

To further scale these efficiencies, C.H. Robinson and Stanley Black & Decker are also changing how Stanley Black & Decker identifies improvement opportunities. Previously, dedicated C.H. Robinson engineers periodically reviewed large volumes of shipment data to find areas for optimization.

Now, Lean AI Engineer continuously reviews data across sites for those same types of opportunities. It has already identified several opportunities and confirmed findings from previous manual studies. In one example, it took an aggregation opportunity identified in one customer’s data and evaluated its potential across customers without requiring separate studies, giving the team real-time insight to drive savings and remove waste.

The results: Performance by the numbers

The shift from a decentralized execution model to a unified, systematic strategy has yielded transformative results for Stanley Black & Decker.

• Successfully drove route guide compliance to a robust 83% across all participating sites.
• Delivered over $8M in savings, exceeding initial savings targets by 40% in the second year through a combination of procurement RFPs, truckload optimization, and mode shifting.
• Eliminated manual freight audit and tracking tasks, allowing Stanley Black & Decker internal teams to shift their focus toward high-value strategic activities.
• Achieved real-time visibility, transforming data from a “rear-view mirror” invoice check into a proactive decision-making tool.
• Established a strategy that allows the corporate office to dictate routing logic while ensuring flawless execution at the site level.
• Corrected nearly 90% of missing-data errors through Lean AI Planner, reducing autonomous order correction time to less than one minute.
• Saved 32 hours per month previously spent on manual order corrections, allowing the team to focus on higher-value activities.
• Enabled continuous analysis across sites with Lean AI Engineer, helping experts evaluate opportunities rather than spend time assembling periodic studies.

“The transition to a systematic routing guide was a game-changer. We moved away from 12 different sites doing 12 different things and moved toward a single strategy. Now, the data dictates our decisions and monitors compliance real-time,” explained Ben Bauman. “C.H. Robinson has helped us modernize our logistics network, looking beyond simple visibility, into a truly integrated strategy that is a competitive advantage.”

What’s next: Scaling innovation

The success of the North American rollout has created a blueprint for the future. Stanley Black & Decker plans to scale this TMS connectivity and the C.H. Robinson relationship to additional site locations, including international facilities.

“We really have a clear path forward—this journey with C.H. Robinson helps us pilot new initiatives that meet our needs. It all began with a need for visibility and has quickly evolved into a shared vision for a smarter, more resilient future,” shared Ben Bauman. “We haven’t just optimized a network; we’re creating a foundation for continuous innovation that ensures we are always ready for what’s next.”