Improve production visibility, catch quality issues earlier, and reduce manual work across your manufacturing operations. IBOTIX helps teams use AI, automation, and real-time data to improve how work gets done on the plant floor.
Don't let your manufacturing teams wait until the end of a shift to find a problem in production. Gain real-time visibility into quality, workforce activity, documentation and operations and allow your teams to address the problem before it becomes a real concern.
Detect production delays, missing parts, variations to processes and quality problems when they occur. Video and operational data provide the supervisor with better insights without being restricted to manual inspection.
Whether on a production line, in a warehouse, or with procurement or quality teams – IBOTIX solutions can be deployed on various operations processes. Automate monotonous tasks, enhance visibility and provide faster reaction time for your teams.
Products specifically built to make it easier for manufacturing teams to eliminate manual processes, see production, and keep essential operations going.
Take the manual work out of document-heavy processes. Process purchase orders, invoices, shipping documents, compliance forms, and other business records without relying on fixed document templates.
Use Cases
PO to SO (Purchase Order to Sales Order) automation.
Automated vendor invoice processing.
Touchless shipping and compliance form extraction.
Making AI work in manufacturing When it comes to AI manufacturing, nothing works quite as well as helping with a real-time operational pain point. At IBOTIX, we aim to use real-world operational application of AI for you to increase production, enhance quality, optimize workforce and make better decisions.
AI-powered real-time defect detection eliminates inconsistent manual quality inspections and prevents undetected defects from reaching later stages.
The results?
Connect with your existing enterprise systems
Monitor production lines continuously to spot defects, missing parts, and quality variations as they happen. This helps quality teams act earlier and maintain consistent output.
