What Intralogistics Data Reveals About Your Factory Floor

Production lines are measured to the second. Cycle times, output rates, defect counts, every step is tracked, timestamped, and reviewed. The moment a bottleneck appears on the line, your team knows.

Your intralogistics operation likely runs on experience and intuition.

That gap is significant. Only 15% of intralogistics processes are currently measured, compared to roughly 95% of production steps. Forklifts, route trains, and material handlers move tonnes of goods every shift. But most factories cannot tell you where a pallet is, how long it waited, or which route caused a delay. By 2026, 75% of industry leaders are expected to have adopted smart intralogistics systems. The majority of factory floors are still blind to the data those systems would produce.

What Intralogistics Data Actually Reveals

When you instrument your factory floor with real-time tracking, six categories of insight become visible immediately.

Empty-driving ratio. Every kilometre a forklift travels without a load is wasted capacity. Empty-driving ratios above 40-50% are common in unmeasured environments. Once tracked, this metric becomes a direct target for route and task optimisation.

Dwell times. How long does a pallet sit at a transfer point before it moves? High dwell times signal misaligned schedules between production and logistics, a handoff problem that presents as a capacity problem.

Congestion points. Certain intersections, staging areas, and loading zones create recurring delays. With material flow tracking, they appear in the data before they escalate.

Route load distribution. Some lanes are overloaded. Others are underused. Real-time material flow data enables fleet coordinators to identify these imbalances and redistribute tasks dynamically, without waiting for an end-of-shift review.

Handoff delays between production and logistics. The delay between a production cell completing a batch and logistics collecting it is measurable. Persistent delays here reduce line throughput even when the line itself is running at target.

Fleet utilisation by asset. Individual forklift utilisation rates vary significantly across a fleet. Tracking utilisation by vehicle exposes imbalances in task assignment and helps justify, or prevent, fleet expansion decisions.

Each of these data points exists in your operation today. Without instrumentation, they remain invisible.

From Data to Decision

Visibility changes the decision-making cycle. Shift managers move from responding to problems to preventing them.

When a coordinator can see that one route is building congestion at 09:40, they can redistribute tasks before the delay reaches the production line. When dwell times at a specific handoff point spike consistently, the root cause becomes findable, not guessable.

Digital shop floor management systems, when supplied with real-time forklift and route train data, surface these signals automatically. Dispatching decisions are based on current conditions, not shift plans written the night before.

The Technology Layer

Real-time location systems (RTLS). Ultra-wideband (UWB) technology achieves location accuracy of up to ±40 centimetres in complex indoor environments, sufficient to distinguish which aisle, staging lane, or dock position an asset currently occupies.

Sensor and tag infrastructure. Assets, forklifts, route trains, pallets, containers, are tagged. Anchor nodes installed in the facility receive signals and calculate positions. The infrastructure is non-intrusive and scalable across large floor areas.

Fleet management and analytics software. Raw location data becomes operational intelligence through a software layer that tracks routes, calculates utilisation, flags anomalies, and connects to existing MES or ERP systems.

Where to Start

A full-floor deployment is not the right first step for most manufacturers. Instrument one area first.

Select a single production cell or transfer zone with a known pain point, a recurring delay, a high empty-driving rate, or a disputed capacity constraint. Deploy tracking on the assets serving that zone. Measure for four to six weeks. The data will either confirm the problem or redirect attention to the actual cause.

This approach produces a concrete, defensible result before broader investment is committed. It also builds the internal capability to interpret and act on intralogistics data, which is as important as the technology itself.

The Bottom Line

Production lines have been measured for decades. Intralogistics has operated largely on instinct for just as long. The tools to close that gap exist today, they are proven at scale, and the accuracy is sufficient for operational decisions.

Sources

1. Inpixon - Intralogistics Solution with RTLS: https://www.inpixon.com/solutions/intralogistics

2. Swisslog - Warehouse Automation Trends 2025: https://www.swisslog.com/en-au/case-studies-and-resources/blog/warehouse-automation-and-intralogistics-trends-2025

3. 54 Intralogistics - Forklift Efficiency with Technology: https://54intralogistics.com/2025/01/boosting-forklift-and-warehouse-efficiency-with-technology/

4. Identec Solutions - Intralogistics Technology in Modern Manufacturing: https://www.identecsolutions.com/news/intralogistics-technology-in-modern-manufacturing

5. Encord - Intralogistics: Optimizing Internal Supply Chains: https://encord.com/blog/intralogistics/