Make actual movement visible. Viscando helps factories, warehouses, and logistics operations understand how people, vehicles, and materials move through physical space, so teams can identify bottlenecks, compare layouts, and make flow decisions from objective data.
When material movement is difficult to measure, improvement work often depends on snapshots, assumptions, or manual observation. Viscando turns movement in physical environments into data and visualizations that support better decisions about routes, handover points, buffer zones, space utilization, and automation readiness.
Contact Viscando to discuss material flow visibility for your site.
When material flow is invisible, improvement becomes guesswork
In factories and warehouses, flow problems are often visible only when they become operational pain: queues form, forklifts take unexpected routes, materials wait in the wrong areas, or people and vehicles compete for the same space.
Manual observation can help, but it rarely gives a complete picture across shifts, days, tasks, and changing production conditions. A walkthrough may show what is happening at one moment. It may not show repeated waiting patterns, recurring congestion, underused areas, or the difference between planned flow and actual movement.
Material flow analytics gives teams a more objective basis for improvement. Instead of relying only on assumptions, operations, logistics, engineering, automation, and safety teams can discuss the same movement evidence and decide where deeper analysis or change is needed.
What material flow analytics means
Material flow analytics is the analysis of how people, vehicles, and materials move through a factory, warehouse, or logistics environment over time. It helps teams understand routes, dwell time, waiting, congestion, crossings, deviations, space use, and before/after changes.
For intralogistics teams, this type of analysis is useful when the question is not simply “where is the inventory?” but “how does work actually move through this physical environment?”
- Where do people, forklifts, vehicles, or materials slow down or wait?
- Which routes are used most often?
- Where do planned routes differ from actual movement?
- Which handover points or buffer zones create congestion?
- How does a layout or process change affect movement patterns?
- What movement data is needed before introducing AGVs, AMRs, or other automation?
What Viscando helps you analyze
Viscando develops 3D and AI-based sensor systems that convert movement in physical environments into objective analytics. For factories and logistics operations, this can support analysis of people, vehicles, material movements, space utilization, and process-related interactions.
Movement patterns
Understand how personnel, forklifts, vehicles, and material flows move through the site. Movement analytics can reveal frequently used paths, repeated deviations, and areas where actual behavior differs from the intended layout or process.
Bottlenecks and waiting areas
Identify where flow slows down, stops, or becomes congested. Repeated dwell time, queues, route conflicts, and waiting patterns can help teams focus improvement work on the areas most likely to constrain flow.
Routes, crossings, and deviations
Analyze how movement paths overlap, where crossings occur, and where vehicles or people take alternative routes. This can support layout discussions, route planning, and cross-functional improvement work.
Buffer zones and handover areas
Observe how buffer zones, staging areas, loading points, handover areas, and temporary storage spaces are used over time. This helps teams understand whether these spaces support flow or become sources of congestion.
Space utilization
Connect movement patterns with space use. Material flow and space utilization are closely related: a space may appear available on a plan, but movement data can show whether it is actually used, avoided, blocked, or overloaded.
Before/after measurement
Compare movement patterns before and after a layout, route, process, or automation change. This gives teams a clearer baseline and a more consistent way to evaluate whether the physical flow changed as intended.
From 3D sensing to operational insight
Viscando’s core technology is OTUS3D, a 3D and AI-based sensing system. Movement in the physical environment is transformed into data that can be visualized and interpreted in VisualDB, Viscando’s web-based data visualization platform.
For factories and logistics sites, this means teams can move from individual observations to shared operational insight. The same environment can be analyzed from several perspectives: flow efficiency, route behavior, space use, buffer-zone behavior, vehicle and pedestrian movement, and interactions between different types of movement.
The goal is not to replace operational expertise. The goal is to give experts better evidence. When site knowledge and objective movement data are combined, teams can make layout, process, and automation decisions with greater clarity.
Common use cases
Identify intralogistics bottlenecks
Material flow analytics can help reveal where movement repeatedly slows down, queues, or becomes congested. This is useful when teams suspect a bottleneck but need objective movement evidence before changing routes, staffing, layout, or work procedures.
Validate a warehouse or factory layout
A layout may look efficient in a drawing but behave differently in daily operation. Movement analytics can help teams compare planned flow with actual routes, handover points, waiting areas, and space use.
Support AGV and AMR readiness
Before introducing AGVs, AMRs, or other automation, teams need to understand real-world movement patterns. Movement analytics can support route evaluation, crossing analysis, before/after comparison, and discussions about how automated and human movement will coexist.
Compare before and after changes
When a process, layout, or route is changed, teams need more than a subjective impression of the result. Material flow analytics can support before/after comparisons by showing how movement patterns changed over time.
Improve collaboration between operations, safety, and engineering
Flow questions often overlap with safety, space, and process questions. Shared movement visualizations can help operations, EHS, engineering, and automation teams discuss the same evidence rather than working from separate assumptions.
Material flow, space utilization, and safety are connected
Material flow analytics focuses on movement: routes, dwell time, waiting, congestion, crossings, and flow constraints. Space utilization focuses on how physical areas are used over time. Safety analytics focuses on interactions, risk zones, conflict points, and behaviors that may need attention.
In real factories and logistics environments, these questions often overlap. A congested handover area can be a flow issue, a space-utilization issue, and a safety concern. A planned automation route may depend on both movement patterns and available space. A buffer zone may affect flow, visibility, and operational risk.
This is why Viscando’s physical-space analytics is relevant beyond one narrow metric. By observing how people, vehicles, and materials actually move, teams can connect efficiency, layout, space, and safety discussions around the same operational reality.
What material flow analytics is not
Material flow analytics is not a replacement for a warehouse management system, inventory platform, or ERP. Those systems may show stock, orders, transactions, and process status. Material flow analytics focuses on physical movement and use of space.
It is also not manual observation alone. Human observation is valuable, but sensor-based movement analytics can help reveal repeated patterns over time and make findings easier to share between stakeholders.
Finally, material flow analytics should not be treated as a surveillance project. The value lies in converting movement in the environment into operational insight that supports decisions about flow, space, process, and safety.
Talk to Viscando about material flow visibility
If your team needs objective movement data before changing layouts, routes, buffer zones, processes, or automation plans, Viscando can help you understand what is happening in the physical environment.
Use material flow analytics to make bottlenecks, waiting patterns, route behavior, and space constraints easier to see and discuss.
Contact Viscando to discuss your factory or logistics environment.
FAQ
What is material flow analytics?
Material flow analytics is the analysis of how people, vehicles, and materials move through a factory, warehouse, or logistics site over time. It helps teams understand routes, waiting, dwell time, congestion, bottlenecks, space use, and before/after changes.
What can be measured in a warehouse or factory?
Depending on the setup and project scope, teams can analyze movement patterns, routes, crossings, dwell areas, waiting points, buffer-zone behavior, vehicle and pedestrian movement, material paths, and how space is used over time.
Is material flow analytics the same as WMS or inventory tracking?
No. A WMS or inventory system usually focuses on stock, orders, transactions, and process data. Material flow analytics focuses on physical movement: how people, vehicles, and materials actually move through the site.
Can material flow analytics support AGV or AMR planning?
Yes. Movement analytics can support AGV and AMR planning by showing current route behavior, crossing points, congestion areas, and before/after movement patterns. It helps teams evaluate automation plans against real-world site behavior.
How is the data visualized?
Viscando uses VisualDB to turn movement data into visualizations and dashboards that can be shared with stakeholders. This helps teams interpret patterns, discuss findings, and connect movement evidence to operational decisions.
Does this require storing video of people?
Viscando’s positioning is privacy-conscious. OTUS3D converts movement into data and visualizations rather than using the page to frame the offer as video surveillance. Final privacy wording should be confirmed by Viscando before publication, especially for any detailed GDPR or data-retention claims.
