Viflux helps packaging oems that sell filling, capping or labeling equipment turn technical documentation into guided self-service support, visual procedures and cleaner escalation paths.
Setup answers change by container, cap, label and product viscosity.
Support teams spend time diagnosing issues that could be solved with guided checks.
Viflux connects setup guides, cleaning SOPs, calibration sheets and turns them into guided experiences customers and operators can follow without digging through a static library.
The assistant can answer questions from approved content, ask clarifying questions about model or configuration, and collect useful details when a human needs to step in.
Choose a frequent support driver such as nozzle setup or capper torque adjustment.
Upload or link the setup guides, supporting videos and internal notes your team already uses.
Give customers a QR code, help center link or embedded assistant that starts from the product context.
These slots are part of the CMS shape now, so live Viflux examples can be attached when they are ready.
A focused page or guide that can combine steps, diagrams, short video clips and AI answers for filling, capping and labeling machines.
A focused page or guide that can combine steps, diagrams, short video clips and AI answers for filling, capping and labeling machines.
A focused page or guide that can combine steps, diagrams, short video clips and AI answers for filling, capping and labeling machines.
Yes. Viflux is designed to start from existing PDFs, videos, articles, SOPs and support notes, then package them into a more guided experience.
No. Viflux guides and assistants are web-based, so they can be opened from a link, QR code, packaging insert or help center page.
The assistant can collect the product, step, model and issue details, then route a cleaner ticket to the right team.
Start with one manual, one video or one recurring support issue. Build a product support experience that can grow into a full knowledge layer.
Searches, repeated questions and drop-off points become signals for better manuals, better training and better product design.