Why AI in Supply Chain Needs Connected Data
By turning fragmented and unstructured information into clean, structured data, Splice enables companies to successfully deploy AI in supply chain operations.
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AI has incredible potential to optimize everything from shipment visibility to demand forecasting. But AI is only as smart as the data it receives.
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In logistics, that data is often locked inside siloed systems, PDFs, emails, EDI messages, and spreadsheets. The consequence? AI models that underperform or fail to launch at all.
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​Splice solves this by automating the flow of supply chain and logistics data. Our platform acts as a neutral integrator that powers AI across the supply chain ecosystem.
Our Series on AI in Supply Chain
The adoption of AI in supply chain and logistics is accelerating, but it takes preparation and forethought to make it effective. Our series on AI considers the challenges and solutions to implementation.
How AI in Supply Chain Becomes Reality
The potential of AI in supply chain is vast when the data flows correctly. With Splice in place, logistics companies are already using AI to:​
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Anticipate disruptions by feeding AI models real-time port and rail data
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Accelerate freight booking with AI agents that interact with TMS platforms like CargoWise
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Enrich shipment data for better customer service and exception handling
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Identify billing discrepancies through AI-driven audits of freight invoices
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Automate manual tasks with intelligent document processing and agent-based coordination