IoT S9
Operational intelligence powered by AI

Intelligent visibility for people, inventory, and assets.

Pair natural-language answers with deep KPI views, trends, and alerts—so leadership sees both the big picture and the live signal.

5
IoT services
24/7
Monitoring
AI
Predictive intelligence
IoT
Indoor & outdoor

Impact on your operational efficiency?

It is estimated that companies may lose between 15% and 25% of operational efficiency due to three critical gaps that traditional systems and processes do not resolve.

People

Unproductive time, unmonitored risk zones, delayed response.

Inventory

Shrinkage, losses, uncontrolled conditions.

Mobile assets

Deviations, lack of traceability, costs from logistics inefficiency.

Five specialized IoT offerings

Vertical solutions for demanding environments—each with AI agents and configurable operational dashboards.

AgroSense™

Precision agriculture platform focused on maximizing water-use efficiency. It analyzes variables such as soil moisture, weather, and crop type to recommend optimal irrigation schedules and volumes.

ProxiPromo™

Delivery of personalized, real-time promotions through nearby devices (proximity).

StockPulse™

Solution for inventory tracking and product localization across the supply chain. Provides real-time visibility into the location and quantity of each SKU.

FleetFlow™

Fleet and parcel tracking powered by a mobile BLE gateway installed in the vehicle. Monitors the vehicle’s location and route in real time and tracks the position and status of equipped packages.

PeopleWork™

System focused on workforce management and safety in workplaces such as offices, factories, or warehouses. Enables positioning people within the space and detecting behaviors.

Innovation

Technology that reads context and looks ahead: conversational agents plus detailed analytics dashboards for the same operations team.

AI agents

Conversational intelligence

Interact with AI agents as you would with a seasoned operations analyst

Layer natural-language Q&A on top of drill-down dashboards—KPIs, trends, and exceptions in one place.

Where is Lisa?
Lisa is in production—she has been on station for about two hours.
Alert me if she leaves the zone.
Understood. I will set the alert.

Predictive intelligence

IoT and machine learning

Anticipate how connected devices and tags will behave before incidents escalate

Deterministic and ML-driven signals that flag drift before it hits uptime or service levels

John should reach the warehouse in ~8 minutes

87% confidence

🔮

Three badges will need battery replacement within five days

Early warning

🔮

Tag TX-204 may drop signal in ~20 minutes

Coverage boundary

🔮

Lisa is approaching a geofence limit

90% likelihood

🔮

How do AI agents work?

Three disciplined steps from natural language to operational insight

1

Ask in conversational language

Where is John Pérez?

2

The agent interprets intent

It resolves entities, context, and live telemetry in milliseconds

3

Receive a decision-ready answer

"John is in production. Should I open a ticket if he leaves?"

What can your AI agent answer?

Select a sample prompt to preview the response style

Operational KPIs at a glance

One synchronized view of site health, connectivity, and headcount

Live
4
Open alerts
Events awaiting acknowledgement across services
Live
83%
Gateways online
10 of 12 gateways responding to heartbeat
Live
82%
Credential utilization
245 of 300 issued credentials in active use
Live
138
People on site
Live headcount

Experience the AI agent

Interactive preview—choose a sample prompt below

AI agent · IoT S9

Sample prompts:

Compose your question…

Schedule an executive briefing

See how IoT S9 improves visibility, compliance, and response times across your footprint