At this year’s Manifest conference in Las Vegas, the conversation around supply chain technology repeatedly returns to one foundational theme: data accuracy. For William Wappler, CEO of Surgere, that foundation is not simply an operational advantage. It is the essential prerequisite for modern supply chain performance.
Surgere specialises in capturing, verifying and operationalising highly accurate supply chain data, using a combination of IoT, engineering-led deployment, and AI-driven analytics. The company focuses on knowing precisely what assets exist, where they are located, and how they move across complex industrial environments. That data is then fed into enterprise systems to drive automation, planning and decision making.
Accurate data
The company’s central mission is straightforward. “We only do one thing: to make sure that within that transformation, everybody has highly accurate data that they’re working on to ensure that all of the tactics and strategies they’re working on actually work.”
For decades, Wappler argues, supply chains have operated on what he calls an “assumptive model”. Organisations believed they knew what was in a shipment, where inventory sat, or whether materials had arrived, but verification was often manual and reactive. “Supply chain practitioners have existed on heroics for a long time,” he explains from Surgere’s spot in the Expo Hall of the Venetian Hotel. “We think we know what’s on that truck. We think we know where it is in the warehouse.”
Surgere’s technology is designed to remove that uncertainty. By validating shipments, tracking assets in real time and providing precise location data, the company allows organisations to operate on verified information rather than guesswork.
The scale is significant. “Today we’re doing about 15 billion transactions a month,” Wappler says, noting that the primary audience for this data is no longer people but enterprise systems themselves.
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