IMTS Research Brief: Connected Manufacturing Workflows
Applied AI, integration reality, frontline execution, and the evidence needed for production adoption.
Executive Summary
The transition toward smart manufacturing is shifting from point solutions toward integrated operational ecosystems. Based on governed exhibitor research from IMTS, early market signals indicate that connected workflow—not standalone software—is becoming the core product.
However, adopting these technologies requires navigating significant integration constraints, heterogeneous installed equipment bases, and strict evidence requirements. This brief outlines seven early signals shaping the future of production adoption and evaluates real-world technologies deployed across the manufacturing lifecycle.
Caption: Connected manufacturing workflows link engineering design, machine automation, and frontline execution into a unified operational loop.
Seven Early Market Signals
Connected Workflow Becomes the Product: Individual tools are merging into connected operational loops that span frontline workers, design teams, and machine data.
AI Moves into Specific Production Tasks: AI adoption is shifting away from broad conversational assistants toward targeted, task-specific operational support on the factory floor.
Integration Constraints Shape the Solution: Technical capability alone does not establish deployment readiness; protocol support, data ownership, and governance dictate adoption.
Installed Base Determines Deployment Effort: The age, control architecture, and data depth of existing plant equipment dictate real-world ROI and implementation timeline.
Design Intelligence Moves Closer to Production: CAD and engineering assemblies are increasingly being transformed into automated, operator-facing production plans.
Frontline Visibility and Safety Remain Central: Information creates measurable value only when delivered directly to the frontline worker in an actionable format.
Evidence Quality Reduces Buyer Uncertainty: Standardized proof frameworks are replacing broad vendor marketing claims during technology evaluation.
Technology Spotlights: Real-World In-Workflow Applications
1. Frontline Communication as Operational Data (Relay)
Spoken observations and field communications are captured with timestamps and operational context. Machine alerts, location signals, and real-time translation reach workers directly on the floor.
Key Adoption Factor: Value depends on clear workflow ownership, data governance, and automated post-signal action.
Caption: Relay dashboard making spoken operator observations available as contextual operational data.
2. Expert Knowledge at the Point of Need (Rimon Digital Walter)
Captures expert operator knowledge and technical documentation, making it instantly searchable at the point of work.
Key Adoption Factor: Directly links answers back to specific video timestamps and approved procedures, preventing knowledge loss as workforce demographics shift.
Caption: Rimon's Digital Walter mobile assistant providing timestamped video guidance at the point of need.
3. Automated Manufacturing Planning (AutoAssembler)
Transforms CAD assembly data into structured, operator-facing production instructions.
Key Adoption Factor: Requires clear boundaries around supported processes, materials, and necessary human engineering review before release.
Caption: AutoAssembler converting 3D CAD assembly files into automated operator instructions.
4. Edge Integration & Protocol Bridge (VKS Edge)
Serves as the physical and digital connection layer between work instructions, torque tools, PLCs, vision systems, and industrial sensors.
Key Adoption Factor: Out-of-the-box support for Modbus TCP/IP, MQTT, and OPC-UA reduces custom software development and ongoing maintainability costs.
Caption: VKS Edge workstation connecting digital work instructions to torque tools, sensors, and PLCs.
5. Spatial Guidance and Safety Projection (PI Photonics HOLOLIGHT)
Projects visible safety zones, crane movement paths, and operational guidance directly onto the physical factory floor.
Key Adoption Factor: Enhances visual management without requiring workers to wear headsets or carry hand-held screens.
Caption: PI Photonics HOLOLIGHT projecting visual safety lines and operational boundaries directly onto floor spaces.
Addressing Installed Base Reality
Modernizing a manufacturing plant rarely happens on a clean slate. Facilities contain equipment spanning multiple decades, varied control systems, and uneven data access:
Connectivity: Legacy assets frequently require retrofit IoT gateways or external sensors.
Data Depth: A controller may report basic machine state (ON/OFF) while withholding detailed process parameters.
Economics & Maintenance: Custom integration work alters project risk and determines whether the plant team can maintain the solution after go-live.
Caption: Connecting legacy machinery using retrofit sensors and IoT gateways to capture machine state data.
Next Steps in Research
Our ongoing research is shifting focus from provider capability assertions to buyer proof requirements:
Identifying what proof buyers require before transitioning from pilot projects to full-scale adoption.
Assessing how legacy equipment shapes long-term ROI calculations.
Defining clear post-implementation ownership structures across engineering and operations.
Paste it into Wix: Highlight all existing text in your Wix Blog editor, delete it, and press Ctrl+V (or Cmd+V on Mac). Wix will automatically render headings, bolding, and bullet points without # symbols.
Comments