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1. Data that arrives too late to matter

More than 85 percent of AI initiatives fail in practice. This is due to incomplete, fragmented, or simply late-arriving data in the system. Algorithms require real-time information to make precise predictions, such as calculating the estimated time of arrival (ETA). When logistics data only becomes available hours after the actual event, the technological advantage evaporates. Without a timely digital picture, however, AI ends up operating blind in logistics.

2. Legacy systems that resist connection

A large share of business-critical information sits in legacy systems that were never designed to exchange data with modern applications. That data is structurally out of reach: stored in proprietary formats, lacking standardized interfaces, and often accessible only through manual exports. As far as AI applications are concerned, these data points effectively do not exist.
Rather than paying to replace legacy systems that still work, companies should adopt an integration platform capable of reliably connecting to systems built up over decades and making their data usable for AI.

3. No governance, thanks to interface sprawl

Companies draw on a wide range of data sources across the supply chain. When new AI applications or partner interfaces are wired directly into core systems without oversight, the result is an opaque tangle of connections. These uncoordinated point-to-point links mean a complete loss of control over how data moves. Without a central governance layer, it becomes almost impossible to trace what information is leaving the business and where.

Successful digitalization in the supply chain is not purely an IT task. It is a strategic question of architecture. Artificial intelligence only reaches its full potential on a foundation of real-time data and seamless integration across every partner.

Tim Srock
Lobster
CEO

4. Forced ERP replacement

Vendors often promise to solve existing IT problems by upgrading the core system outright. In reality, replacing an ERP system typically takes 18 to 36 months, and the majority of these migration projects overrun badly on both time and budget.
Modernization works far more efficiently when core systems that already do their job are left alone and made AI-ready through a flexible integration layer instead.

5. Manual B2B onboarding that drains resources

Bringing a new supplier or logistics partner on board routinely drags on for weeks. The delays usually have little to do with the system configuration itself — they come from the back-and-forth coordination by email and phone. Questions about firewall ports, IP addresses, and security certificates tie up valuable IT resources. Without automated self-service portals for partners, every onboarding turns into a drawn-out project of its own.

Get started with Lobster today.

Streamline your supply chain, automate processes, and unlock seamless ERP integration in just 6 simple phases. Let Lobster remove the complexity, so your operations run smoother, faster, and smarter.

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