AI-enabled technical support for smart intralogistics

KI-gestützter technischer Support für intelligente Intralogistik

The challenge: For MFI Innovations’ industrial customers, smart intralogistics are the heartbeat of production and shipping. An error in these automated systems can trigger a complete standstill of the supply chain. While MFI offers premium service packages to manage these crises, technical specialists cannot always be on the phone 24/7. Without an immediate way to report complex error codes, customers face "dead air" during critical failures, delaying the support process and increasing the financial impact of the downtime.

The solution: MFI integrated the SmartOffice as an intelligent gateway for its high-stakes technical service. The AI functions as a specialized digital intake agent that:

  • • Ensures immediate reporting: If a technical specialist is currently in a call or unavailable, the AI picks up immediately, ensuring the customer is never stuck in a wait loop during a crisis.
  • • Captures technical data & error codes: The AI is trained to conduct a natural dialogue to record specific problem descriptions and complex industrial error codes directly from the caller.
  • • Streamlines the support trigger: All recorded information is instantly structured and delivered to MFI’s technical team, triggering the internal support process the moment the call ends.
  • • Enables "first-call resolution" strategy: When the technical specialist becomes available, they don't start from scratch. They review the AI’s detailed report, analyze the situation in advance and can often present a complete solution during the very first callback.

The result: A significant reduction in "Time-to-repair" and a massive boost in service reliability. By utilizing the SmartOffice, MFI Innovations has turned its support desk into a high-speed diagnostic center. This provides their customers with peace of mind that their intralogistics are protected around the clock, while simultaneously relieving MFI’s specialists from the stress of initial data collection.

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