From frustration to fluidity: how AI is reinventing customer support
In the past, customer service meant picking up the phone, waiting on hold, and hoping someone on the other end could help.
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It meant navigating endless menus, repeating your personal information multiple times, and explaining your issue to three different agents. It was slow, inefficient, and frustrating for the customer and the business.
But times have changed. And expectations have changed even faster.
Today, customers want answers—immediately. They expect convenience, clarity, and personalization. They don’t want to wait. They don’t want to search. And they don’t want to explain themselves over and over again.
Acknowledging this shift in expectations isn’t just playing to a customer preference. It’s a business imperative. And at the center of this transformation is LLM (Large Language Model) based conversational AI (artificial intelligence).
AI isn’t just helping customer service teams do their jobs faster. It’s redefining the job entirely, leaving initial welcome, handholding, data collection, triage, and admin stuff to the AI, freeing up human resources available for escalation where desirable.
AI at work: automation, integration, and personalization

One of AI’s greatest strengths is its ability to handle repetitive, low-value tasks at scale. Whether it’s resetting passwords, checking delivery status, or updating account information, AI-powered core support modules manage these requests instantly, freeing up human agents to focus on the complex and emotional.
But automation is only the beginning.
The real power of AI lies in its ability to integrate, learn, and personalize. AI now connects to CRM and ERP systems, pulls real-time usage analytics, monitors device status via IoT, and even manages subscription replenishments. It remembers previous interactions, adapts to different languages, and tailors answers to individual customer profiles.
And it doesn’t just respond—it predicts. Voice-guided usage, personalized upsells, and adaptive learning suggestions all work together to provide the most relevant help at the right time. This level of contextual support builds trust and shows customers they’re not just being served—they’re being understood.
Introducing TwinAI: smart support, built into every product

At Twintag, we’ve taken this vision a step further with TwinAI—an AI-powered product assistant that lives inside the product itself.
Think about how people usually interact with a product when they need help. They search online. They dig through manuals. They call customer service. It’s a disconnected experience that takes time and effort.
TwinAI changes all of that.
With a simple QR code scan, customers unlock on-demand, hyper-personalized assistance: interactive tutorials, digital service manuals, feature exploration, and even remote diagnostics. TwinAI decodes error messages, guides repairs step by step, and can even initiate service tickets when needed.
Need a replacement part? TwinAI checks compatibility, suggests accessories, and connects to a parts marketplace. Need to understand energy usage or sustainability metrics? It provides eco-mode suggestions, carbon footprint tracking, and repair-vs-replace advice—all in one place.
And because it learns from data and previous interactions, TwinAI can preemptively notify a user about an upcoming maintenance check or firmware update, creating a feedback loop that continuously improves product experience.
Why this matters—for customers and businesses
For customers, the benefits are clear:
- No waiting.
- No searching.
- No frustration.
- Just direct access to the answers and support they need—whether it’s usage tips, safety alerts, or warranty status.
For businesses, the impact is just as significant:
- Reduced support ticket volume
- Faster resolution times
- Better data via analytics modules like real-time IoT monitoring and advanced KPI dashboards
- Increased upsell and loyalty opportunities through service plans, trade-in programs, and gamified community engagement
Most importantly, it transforms customer service from a cost center into a brand-defining experience.
A new standard for support
We’ve spent years helping companies track, manage, and optimize physical products with digital twins. With TwinAI, we’ve taken the next step: turning every product into a dynamic, intelligent service interface.
Products can now talk. They can listen. They can help.
And in doing so, they transform from static objects into living experiences—adaptive, multilingual, data-driven, and sustainably designed.
This is the future of customer support. Not a call center. Not a help desk. Not even an app.
It’s a conversation—embedded in every product, available anytime, in any language, and tailored to every customer.
No more hold music. No more “Did you try turning it off and on again?”
Just the right answer, at the right time, in the right place.
With AI, and with TwinAI, customer service isn’t just better. It’s redefined.