We detected 150 customers using OverHaul. The most common industry is Transportation, Logistics, Supply Chain and Storage (18%) and the most common company size is 10,001+ employees (39%). Our methodology involves discovering URLs with known URL patterns through web crawling, certificate transparency logs, or modifications to subprocessor lists.
About OverHaul
OverHaul provides software and monitoring solutions that protect in-transit cargo from theft, delays, damage, and spoilage through real-time visibility, predictive analytics, and 24/7 monitoring control towers that work directly with law enforcement for rapid recovery and intervention.
Transportation, Logistics, Supply Chain and Storage27 (18%)
Pharmaceutical Manufacturing21 (14%)
Manufacturing11 (7%)
Retail10 (7%)
Biotechnology Research6 (4%)
📏 Company Size Distribution
10,001+ employees58 (39%)
1,001-5,000 employees32 (21%)
501-1,000 employees18 (12%)
5,001-10,000 employees16 (11%)
201-500 employees14 (9%)
🔧 What other technologies do OverHaul customers also use?
Source: Analysis of tech stacks from 150 companies that use OverHaul
Commonly Paired Technologies
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Shows how much more likely OverHaul customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that OverHaul users are primarily enterprise companies focused on complex supply chain operations and vendor management. The presence of E2Open, a major supply chain management platform, alongside tools like Corrigo for service management and Ecovadis for supplier sustainability ratings tells me these are large organizations managing intricate logistics networks with multiple partners and suppliers. These companies need visibility into their entire supply chain ecosystem, not just their own operations.
The pairing of E2Open with OverHaul makes perfect sense since both address supply chain complexity, but OverHaul likely fills specific gaps around risk monitoring and real-time tracking. The strong presence of Ecovadis is particularly revealing because it shows these companies care deeply about supplier compliance and sustainability metrics, suggesting they're in highly regulated industries or serving customers who demand ethical sourcing. Corrigo's appearance indicates many of these organizations also manage field service operations or physical assets across multiple locations, adding another layer of operational complexity they need to monitor.
The full stack suggests these are established, sales-led enterprises in their growth or mature stages. They're investing in specialized tools that address specific operational challenges rather than general-purpose software. The presence of Powtoon Enterprise for video content creation hints at companies trying to modernize internal communications and training, which is common when organizations need to align distributed teams around new processes. These aren't scrappy startups testing product-market fit, but rather sophisticated operators making deliberate technology investments to optimize existing large-scale operations.
👥 What types of companies is most likely to use OverHaul?
Source: Analysis of Linkedin bios of 150 companies that use OverHaul
I analyzed these companies and found that OverHaul's typical customers fall into three main categories. First are logistics and supply chain companies like DeSpir Logistics, Zipline Logistics, and C.H. Robinson that specialize in moving high-value goods. Second are global manufacturers across pharma, electronics, automotive, and consumer goods sectors including Thermo Fisher Scientific, Intel, and Whirlpool. Third are luxury and high-value retail brands like LVMH, Gucci, and Victoria's Secret that need to protect premium products in transit.
These are overwhelmingly mature, established enterprises. I noticed that 68 of the companies have over 1,000 employees, with 52 exceeding 10,000 employees. Many are publicly traded Fortune 500 companies with decades or even centuries of history. LVMH references its founding in 1987, while companies like Caterpillar celebrate " years" of operations. The funding data shows post-IPO debt rounds in the billions, not early-stage venture capital.
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