Introducing RAMS AI Vision — Intelligent Warehouse Perception

RAMS Digital Twin Platform

Turn Your Facility IntoA Living Digital System.

A 3D model shows you the building. A Digital Twin shows you the operation — every asset in its place, every event in context, every change kept as history you can go back to.

Model Anything. Connect Everything. Operate In Context.

Digital Twin — Warehouse 01Live model
FlipkartNestleSiemensCoca-ColaVolvoJCBCaterpillarABBSaint-GobainMahindra LogisticsAsian PaintsCiplaGE VernovaRhenus Logistics

The problem today

Your facility is real.
Its information is scattered.

Critical facility knowledge remains fragmented across drawings, spreadsheets, reports, presentations and isolated systems.

Reports lose context

Information moves through a hierarchy and each handover removes location, evidence or operational detail.

Site visibility requires travel

Management must visit or depend on summaries to understand what is happening at a distant site.

Changes carry uncertainty

Layouts and physical modifications are often reviewed without a persistent operational model.

Systems remain isolated

Assets, sensors, inspections, MHE, inventory and maintenance data lack a shared physical context.

Product overview

The physical world,
Digitally organised.

RAMS Digital Twin creates a persistent digital representation of the facility and everything operating inside it.

GeometryThe building, measured
AssetsEvery thing, identified
LocationsOne address, agreed
RelationshipsWhat sits next to what
ZonesAreas and restrictions
ConditionState against standard
HistoryEvery state, retained
MovementEquipment and pallets
EventsImpacts and exceptions
Operational dataThroughput, utilisation
SensorsLive readings, in place
ApplicationsEverything built on top
SimulationChange, tested first
TasksWork, where it happens
MaintenanceRepairs and actions
ComplianceStandards and evidence

How it works

From facility capture
To continuous learning.

A simple adoption workflow creates value early and adds intelligence progressively.

Step 01

Digitise

Draw inside the platform or reconstruct the existing facility from LiDAR scan files.

Shell, structure and aislesSurvey, DWG or point cloud
Facility modelBuilding
+0.40 mAISLE B — RECURRING

Model completeness

40%
Shell & structure820 × 440
Racking8 runs · 104 bays
Dock doorsD1 — D5
Zones4 of 4
Aisle D scanimporting

The RAMS 8D framework

Eight connected layers
Of understanding.

A 3D model answers the first two. Everything after that is what makes it a twin.

01

Spatial

Where is it?

Geometry, layout, dimensions, zones and the spatial relationships between everything in the building.

02

Asset

What is it?

Class, specification, make and the identity that follows the asset from installation to disposal.

03

Time

How has it changed?

Every state the facility has been in, retained — so change is measurable rather than remembered.

04

Condition

What condition is it in?

Structural and operational state against the standard it was designed to, with the severity that follows.

05

Operation

How is it being used?

Occupancy, throughput, the traffic that passes it and the equipment that works it.

06

Simulation

What if we change it?

Reach, clearance, flow and capacity, answered against the model while the change is still a proposal.

07

Live

What is happening now?

The current reading, in place — impact, tilt, load, movement and the events arriving this second.

08

Intelligence

What does it mean next?

The seven layers above read together: a pattern rather than an alert, and what to do before it repeats.

Product experience

A picture of the facility
Becomes a view of the operation.

The geometry is identical on both sides of this switch. What changes is whether anything is attached to it.

Warehouse 01Model only
+0.40 mAISLE B — RECURRING

Nothing attached

A drawing of the building, and nothing else. It knows where things are. It does not know what they are, what they did, or what is happening to them now.

MHE movementSensor eventsAlertsAsset statusZones & tasks

Outcomes / Business value

Save time, money and effort
Without losing insight.

Direct visibility reduces dependence on layered reporting and keeps decisions connected to the operational truth.

Safety

Understand and reduce physical operational risk, with every event resolved to the place it happened.

Impacts per 1,000 MHE hours

Productivity

Understand how people and assets produce work, and where the shift is actually being spent.

Travel distance per pick

Efficiency

Identify wasted time, movement, capacity and resources against the real building.

Storage and fleet utilisation

Visibility

See what is actually happening across connected facilities, without waiting on a report.

Systems reconciled to the twin

Integrations

Use our sensors.
Use yours. Or use both.

Bring enterprise systems, operational technology, edge intelligence and physical sensing into the same context.

Reconcilinglive
ERP812 assets
WMS1,940 tasks
MES126 orders
CMMS78 work orders
BMS34 zones
Inspection9 cycles
Finance412 records
HR88 operators
ERP812 assets
WMS1,940 tasks
MES126 orders
CMMS78 work orders
BMS34 zones
Inspection9 cycles
Finance412 records
HR88 operators

Business systems

Connect enterprise workflows

The twin gives records from the systems you already run a location, without replacing any of them.

ERPWMSMESCMMSOther platforms
Impact tracelive
Peak force2.3 g

RAMS hardware

Add supported sensing

Our own impact, tilt, load and vision hardware, commissioned against the model rather than a spreadsheet.

LiDARAI visionImpact sensorsPallet detection
Handshakeopen
SensorsMQTT
MachinesOPC-UA
PLCsModbus
BuildingBACnet

Client hardware

Bring the installed estate

Sensors and controllers you already own keep their job and attach to an asset in the twin.

SensorsCamerasPLCsMachinesAutomation
Edge inference42 ms
Sensor
Twin
Vision
Detect
Edge
Act

AI & edge

Decide where the event happens

Vision and analytics at the edge and in the cloud — open at the sensor layer, intelligent at the edge.

On-site inferenceOmniBoxOffline-tolerantCloud history
1SensorPhysical signal
2Edge processorOmniBox or customer edge
3Local intelligenceProcess near the event
4Twin contextAsset + place + time
5Cloud / historyPersistent record
6ActionOperational response

FAQ

Questions enterprise
Teams ask.

No. The model is the starting point. RAMS Digital Twin adds asset identity, lifecycle history, simulation, live data, operational context, AI and applications on top of it.

Start the conversation

Start with the physical world.
Build intelligence around it.

Create the Digital Twin. Tag the assets. Simulate change. Connect sensors and systems. Add applications. Build a persistent operating layer for the physical facility.