Real machines. Real workflows. Real results.

Three industry scenarios showing how manufacturers, medical device companies, and system integrators use Novylon to transform after-sales operations.

Packaging & Industrial
Medical Devices
White-Label / Multi-Brand
Modbus RTU Device Gateway JSON over TCP AI Auto-Respond Knowledge Base Multi-Tenant White-Label Similar-Ticket Search Modbus RTU Device Gateway JSON over TCP AI Auto-Respond Knowledge Base Multi-Tenant White-Label Similar-Ticket Search
A

Packaging Machine OEM

A packaging machine manufacturer in southern Germany ships 200+ machines per year across Europe. Each machine runs a PLC communicating over Modbus RTU via serial RS-485.

Before Novylon

  • Service engineers travel on-site for every issue — even simple configuration changes
  • Firmware updates require USB sticks shipped by mail
  • Customer “dashboards” are Excel spreadsheets emailed monthly
  • Zero visibility into machine health between service visits

With Novylon

  • A device gateway software on an industrial PC connects the PLC via serial and the platform via internet
  • The Protocol Builder defines the Modbus register map: temperatures, cycle counts, error codes
  • The Widget Canvas creates three dashboard views: Overview, Production, and Diagnostics
  • Customers claim machines with a pairing code and see live dashboards in a branded portal
  • The AI assistant reads device state, knowledge articles, and past tickets before suggesting a fix

Result

On-site visits drop by 60%. Customers get self-service dashboards under the OEM’s brand. The AI assistant resolves common issues before a human agent is needed.

Modbus RTUDevice GatewayProtocol Builder Widget CanvasAI SupportWhite-Label
B

Medical Device Manufacturer

A manufacturer of laboratory analyzers sells to hospitals and diagnostic labs worldwide. Devices communicate over TCP with a proprietary JSON-based protocol.

Before Novylon

  • L1 support handles 60+ tickets per week, most asking the same diagnostic questions
  • Senior technicians write troubleshooting guides that never reach the customer
  • No way to see what the device was doing at the moment a problem occurred
  • Institutional knowledge lives in the heads of employees approaching retirement

With Novylon

  • The Protocol Builder defines JSON request/response frames and event notifications
  • The knowledge base is loaded with service manuals (PDF), troubleshooting guides (wiki), and per-device FAQs
  • AI auto-respond generates a diagnostic response to every new ticket, citing knowledge articles and sensor readings
  • Customer-facing FAQs let lab technicians self-diagnose common issues
  • Similar-ticket search surfaces resolved incidents with comparable symptoms

Result

L1 ticket volume drops significantly. Senior technicians spend less time on repetitive queries and more time building knowledge that compounds over time.

JSON over TCPKnowledge BaseAI Auto-Respond FAQSimilar-Ticket Search
C

System Integrator (White-Label)

A system integrator builds remote monitoring solutions for three end-customer brands: food processing, textile machinery, and building automation.

Before Novylon

  • Three separate codebases, three sets of infrastructure, three maintenance burdens
  • Each customer portal is a fork of the same app with hard-coded logos
  • Adding a new brand means weeks of setup and permanent engineering overhead
  • No shared admin view across customer organizations

With Novylon

  • Each brand is a separate tenant with its own logo, colors, domain, and users
  • Device types, protocols, and dashboards are configured per tenant on the same platform
  • Each tenant’s customers access a fully branded customer portal at their own subdomain
  • All tenants managed from a single master admin panel with full data isolation

Result

One platform, three brands, zero code forks. Adding a fourth customer brand takes hours, not weeks.

Multi-TenancyWhite-LabelMaster Admin Data IsolationPer-Tenant Branding

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