Physical operations.
Industry-specific
intelligence.
Facility audits, Digital Twin context, connected hardware and operational applications — applied to the safety, visibility and performance problems that look different in every industry.
Trusted on the warehouse floor
The industry gap
The warehouse
Is never generic.
A cold store, a multi-client 3PL and an automotive plant may use similar racks, MHE and systems — but their constraints, risks and decisions are different.
Physical risk is discovered too late
Damage, unsafe interaction and deteriorating asset condition remain inside manual inspection cycles.
Operational data lacks physical context
ERP and WMS records say what was transacted, but not always what is happening on the floor.
Decisions travel through layers of reporting
Site reality is compressed into calls, spreadsheets and presentations before it reaches management.
Each system sees only one part
Safety, MHE, inventory, maintenance and tasks are analysed separately, hiding cross-module patterns.
Industry use cases
One physical platform.
Nine operating realities.
The warehouse problem, and the RAMS response, for each industry.
Examples show typical use cases. Final capabilities depend on the agreed audit, hardware, integration and application scope.
The client logos shown are all IRDS clients. RAMS 2.0 — the connected platform — has recently launched.
WD-01 · LogisticsWD
Typical RAMS stack
Warehousing & Distribution
Optimise throughput and accuracy.
Warehouse problem
Congested travel and unreliable location accuracy
MHE spends time searching, staging areas overflow and inventory records drift from physical reality — while rack damage is reported after the fact.
RAMS response
Create a live operational view of the facility
Map racks, aisles and zones in the Digital Twin; track supported MHE and inventory movement; digitise rack inspections; and surface task, dwell and exception insights.
IRDS clients
3P-02 · Logistics3PL
Typical RAMS stack
Third-Party Logistics
Multi-client warehouse management.
Warehouse problem
Different client SLAs inside one shared operation
Inventory, labour, MHE and locations are shared, making it difficult to isolate delays, utilisation, damage responsibility and service performance by client or zone.
RAMS response
Separate performance without fragmenting visibility
Use client- and zone-aware Digital Twin views, task orchestration and inventory exceptions, then consolidate multi-site and cross-module indicators in AIMS.
IRDS clients
EC-03 · LogisticsEC
Typical RAMS stack
E-commerce
High-velocity order operations.
Warehouse problem
Peak volume creates queues and unsafe shortcuts
Order surges increase MHE–pedestrian interaction, replenishment pressure, missed picks and travel waste — exactly when supervisors have the least time to investigate.
RAMS response
See and orchestrate work at operational speed
Monitor movement and safety signals, identify hot zones, expose idle or congested activity, and reprioritise supported tasks using live site context.
IRDS clients
CS-04 · Controlled & regulatedCS
Typical RAMS stack
Cold Storage
Temperature-controlled operations.
Warehouse problem
Limited visibility in a costly, harsh environment
Excess dwell, door-open time, battery degradation and hidden rack damage increase energy cost, product risk and maintenance difficulty in low-temperature areas.
RAMS response
Bring condition, movement and environment together
Connect supported environmental and asset data to the Digital Twin, analyse dwell and MHE utilisation, and maintain location-specific rack inspection history.
MF-05 · ProductionMF
Typical RAMS stack
Manufacturing
End-to-end production floor visibility.
Warehouse problem
Material flow is disconnected from production reality
Components wait between stores and line-side areas, MHE movement is reactive, and a delayed replenishment becomes visible only when production is affected.
RAMS response
Connect intralogistics to its physical context
Model machines, stores, routes and line-side zones; integrate approved ERP, MES or WMS signals; and orchestrate material movement with spatial and task context.
IRDS clients
AU-06 · ProductionAU
Typical RAMS stack
Automotive
Parts tracking and JIT compliance.
Warehouse problem
A missing part threatens a just-in-time sequence
Stillages, components and MHE move through tight windows. A location error, battery issue or delayed task can disrupt line supply and cascade into downtime.
RAMS response
Make line-feeding exceptions visible early
Connect supported part and asset location data, monitor MHE health and utilisation, and prioritise material tasks using zone, route and production context.
IRDS clients
FG-07 · ProductionFG
Typical RAMS stack
FMCG
High-volume fast-moving goods.
Warehouse problem
Volume hides travel waste and rack exposure
Fast rotation creates repeated impact zones, overloaded staging, empty travel and inventory exceptions that are individually small but operationally expensive at scale.
RAMS response
Find recurring patterns across flow and safety
Analyse MHE routes and utilisation, map damage recurrence in IRDS, identify inventory dwell and bring cross-module trends into a management view.
IRDS clients
FB-08 · Controlled & regulatedF&B
Typical RAMS stack
Food & Beverage
Cold chain and FIFO compliance.
Warehouse problem
Product age, location and condition drift apart
Pallets remain in staging, FIFO rules are bypassed and temperature-sensitive stock moves without a unified physical view of dwell, route and storage location.
RAMS response
Put movement and dwell into facility context
Connect supported inventory, location and environmental data to identify exceptions, visualise FIFO-sensitive areas and trace the physical path behind an event.
IRDS clients
PH-09 · Controlled & regulatedPH
Typical RAMS stack
Pharmaceuticals
Regulated storage and traceability.
Warehouse problem
Evidence is scattered across systems and records
Asset condition, storage location, environmental events and corrective actions may exist separately, slowing investigation and making traceability harder to demonstrate.
RAMS response
Create a persistent, contextual operating record
Tag facility assets, retain inspection and lifecycle history, connect approved sensor and enterprise data, and provide role-based views for supported investigations.
IRDS clients
Across every industry
A physical intelligence
Layer for the operation.
The Digital Twin gives every event location and asset context; the applications turn that context into workflows and insight.
AIMS
Cross-module and multi-site management intelligence.
IRDS · MEPS · RTSS · IROS · IMDS · ATOS
Safety, productivity, inventory, diagnostics and execution applications.
RAMS Digital Twin
Facility geometry, tagged assets, lifecycle and spatial relationships.
RAMS hardware · Client systems · Supported IoT
Operational signals connected through approved interfaces.
People · Racks · MHE · Inventory · Machines
The physical operation as it is actually working.
Find physical risk earlier.
Audits, condition history and live events.
See how work is produced.
Movement, tasks, utilisation and flow.
Expose hidden operational waste.
Idle time, dwell, exceptions and capacity.
Operate without information loss.
Direct, contextual views across sites.
How we engage
Start with the problem
Not the module.
RAMS can begin with an expert warehouse audit, a focused technology deployment or a phased combination of both.
Understand the operation
Define the facility, risks, processes, systems, users and decisions that need better evidence.
Establish the physical baseline
Assess racks, assets, layouts or workflows within the agreed technical and operational scope.
Digitise what matters
Create the Digital Twin, tag assets and integrate supported hardware and enterprise data.
Turn insight into action
Deploy applications, close actions, measure outcomes and expand across sites over time.
Built for operational reality
An audit-grade view
Of the ground.
RAMS is designed around the physical details that determine whether a facility is safe, visible and operable — not only around transactions in a business system.
Asset-level traceability
Exact rack, bay, upright, MHE, machine, zone or supported inventory context.
Closed-loop corrective action
Findings move from identification to ownership, rectification, evidence and verification.
Live plus historical context
Current signals sit beside lifecycle, event, inspection and maintenance history.
Modular adoption
Begin with the highest-value facility, workflow or risk and scale deliberately.
Your industry. Your operation.
Bring us the
physical problem.
We will help define the right combination of facility audit, Digital Twin, connected technology and operational applications for your site.