How AI Agents Handle Customer Support in Manufacturing
Manufacturers face a fundamental challenge: customers expect excellent service as much as they expect quality products. That expectation has only intensified since the 1980s, when business theorists first argued that service quality matters as much as manufacturing quality.
Salesforce's agentic AI-autonomous agents that can process information, interact across systems, and handle multi-step workflows-gives manufacturers a way to meet that demand. These agents can answer questions, route cases to the right person, and assist human representatives in real time.
Self-Service That Actually Works
Forty-four percent of customers prefer solving problems on their own, according to Glance's 2026 CX Trends report. Many manufacturers don't give them that option.
AI agents change that. They can answer common questions about products, services, and policies across chat and email. They connect to internal knowledge bases and provide instant responses. For specific questions like "Where is my order?" they can pull data from order management systems and deliver updates directly.
The agents go further with technical issues. They can guide customers through step-by-step troubleshooting or take immediate action-processing returns, resetting passwords, scheduling field service appointments.
Real example: Endress+Hauser, a Swiss manufacturer of lab measurement equipment, received over 95,000 support cases yearly. Many involved complex technical questions that human reps struggled to answer quickly. The company deployed AI agents that search through 32,000 knowledge articles and provide instant responses. The agents now handle 47,500 cases per year.
Getting Customers to a Human When They Need One
Seventy percent of customers say they struggle to escalate issues to a live agent when needed, according to Front's 2025 State of Service Expectations report. That gap matters. Some problems require human judgment and empathy.
Salesforce's agentic AI solves this by routing escalations automatically. When a customer requests a human or when the AI determines it can't help, the system transfers the interaction to the right representative based on availability, expertise, and skills. Before the handoff, the AI provides a summary of the entire conversation, account details, and actions already taken.
Real example: Fisher & Paykel, a New Zealand home appliances manufacturer, implemented this routing system. When AI can't resolve an issue, it routes the customer to a rep based on location, time zone, and skills-while providing account summaries and relevant knowledge articles. The company cut average call handle time from 12 minutes to under 6.
AI as a Co-Pilot for Your Team
Human reps still do the work. AI agents just make them faster.
During live chat, agents can analyze incoming messages and suggest solutions, recommend responses, or recommend next steps. For field technicians, AI agents provide instant access to repair manuals and troubleshooting guidance through mobile devices. They handle routine tasks like data logging.
Real example: Luminator, a U.S. transportation lighting manufacturer, uses AI agents to support field technicians handling complex repair requests. Technicians chat with AI via tablets or phones to get technical specifications and troubleshooting help instantly. The company estimates this improves field team efficiency by 20 percent.
What This Means for Your Operation
Agentic AI handles the volume of routine inquiries that overwhelm human teams. It improves escalation so customers reach the right person faster. It gives your reps better information and faster access to answers.
The result: customers get faster resolutions, your team handles more cases without burnout, and satisfaction improves.
If you're considering this approach, look for a Salesforce partner who understands your functional requirements, can recommend the right edition and features, and provides a clear implementation plan.
Learn more about AI for Customer Support and how AI Agents & Automation can reshape your operation.
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