AI-enabled technical support for smart intralogistics

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.

Automotive excellence with Renault Retail Group

The Challenge: Dealerships face constant pressure to maintain high telephone accessibility. Busy showroom floors often lead to missed calls, lost leads, and interrupted customer consultations, especially during peak hours or when all lines are busy. For a premium brand like Renault, a missed call isn't just a technical failure; it’s a lost sales opportunity and a diminished customer experience.

The Solution: Renault deployed "Zoe," a specialized AI Agent powered by SUSI&James. Zoe doesn’t just "catch" calls; she acts as a Digital Employee that:

  • Ensures 24/7 availability: Greets every caller instantly, eliminating busy signals, waiting loops, and the frustration of calling after-site closing.
  • Conducts intelligent dialogues: Uses natural language to understand specific customer intents—from new car interest to urgent service inquiries.
  • Automates data triage: The system’s AI records the customer's concern and seamlessly syncs it with the correct department (Sales, Service or Parts) for immediate follow-up.
  • Protects in-person consultations: Allows showroom employees to stay focused on the customers physically present in the dealership without being distracted by a ringing phone.

The Result: A significant boost in lead capture and customer satisfaction. By reducing the time until problem resolution and providing relief for the staff, Zoe has transformed the dealership’s accessibility. The Renault Retail Group now benefits from faster processing of concerns and superior customer experience, all achieved while reducing the overall workload on the dealership team.

Intuitive process modeling & predictive production control

The Challenge: Modern manufacturing involves intricate process chains where dependencies are often buried in silos. When a quality issue arises or a bottleneck occurs, teams struggle to find the "root cause" quickly. Most traditional modeling tools require extensive technical expertise and weeks of setup, leaving global teams without a unified, real-time view of their operations.

The Solution: SUSI&James introduces a cloud-based Digital Twin that acts as the digital mirror of your physical manufacturing operations. This isn't just a static map; it’s an interactive, plant-independent ecosystem that:

  • Enables intuitive modeling: Production chains and their individual steps can be created in just a few minutes without prior technical knowledge. Properties, materials, and dependencies are interconnected with simple, user-friendly assignments.
  • Provides "Big Picture" & granular detail: The system offers total transparency, allowing managers to zoom out for a global overview of complex relationships or zoom in to monitor a single production cell in real-time.
  • Powers AI-driven analytics: By processing machine data live, the system generates predictive quality alerts and performs complex root cause analyses to identify the exact factors influencing production failures.
  • Ensures targeted quality control: The Digital Twin enables the "digital marking" of suspicious parts during the live process and uses historical data to instantly identify every affected component if an error is detected.

The Result: A dramatic increase in process reliability and global collaboration. By providing live dashboards and continuous production documentation, the Digital Twin minimizes downtime and ensures that quality control is proactive rather than reactive. This reduces waste, identifies errors before they scale, and provides a clear, data-backed roadmap for optimizing the entire value chain.

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