TrackvyML

Practical intelligence for high-stakes operations.

TrackvyML uses RFID, IoT and BLE reads to analyze movements and dwell times, issue configured alerts and summarize operations with AI.

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Trackvy Cloud Analytics showing 10,671 movements, change against the previous period, and a dated bar chart.
Trackvy Cloud AI analysis card summarizing available stock growth and the decline in material in transit.

Data that explains the operation

Inventory intelligence

TrackvyML takes inventory from reactive counting to continuous reading. With precise sensor data, it provides:

  • Configured stock alerts: minimum and maximum levels per reference flag inventory outside its range.
  • Levels and flows: inflows, outflows and average time in each state, by period.
  • AI summary: what changed in the inventory, explained in plain language.

Fixed asset management

Beyond location, we monitor how your equipment actually behaves:

  • Unexpected movements: anomaly analysis identifies patterns for review; configured alerts flag departures from defined zones or movements outside working hours.
  • Utilization analysis: dwell time by location shows underused machinery, so CAPEX and maintenance are planned on actual use.
  • Overdue loans: assets past their return date are gathered in a single list.

Returnable asset (RTI) and specialized tool tracking

High-value assets such as tools, IT equipment and RTIs (containers) often hide high costs. TrackvyML follows their full cycle:

  • Dwell time analysis: the analysis shows where returnables get stuck, in own facilities or a partner's.
  • Return control: assets past the expected time are flagged so the team can check their location and manage the return.
  • AI summary: each period's return cycle, explained in plain language.

Process and flow analysis

We use real-time data to reconstruct how people, assets, and inventory move through your facilities.

  • Visual reality: the operation's real flow becomes visible, along with the gap between the written procedure and what happens on the floor.
  • Bottleneck detection: structural inefficiencies where items stall or pile up are identified.
  • Executive reports: AI summaries explain the changes recorded during the period.

Measurable outcomes

Precise data changes three dimensions of the operation.

SUSTAINED PRECISION

99% sustained versus a ~63% baseline

Data accuracy stops depending on occasional audits and holds continuously. Every operational decision starts from physical reality.

CYCLE VELOCITY

70 to 83% less cycle time

Audits that took days now take hours. People are freed for higher-value work.

DATA LATENCY

<5 s latency from event to data

The operation runs on the event. Losses and deviations are detected as they happen.

Source: aggregated measurements across Accendo deployments (2010 to 2026). Ranges reflect the 25th to 75th percentile of the portfolio. For a specific operation, the calculation starts from the Diagnostic and is measured from day one of the Bounded Deployment.

Data and deployment scope

The client owns the data. TrackvyML deployment and information access are defined for each project around the operation's systems and requirements.

Let's talk about your operation.

Start with a Bounded Deployment: fixed scope and production deliverables.

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