3D plant twin
The site drawn to scale — buildings, silos, bins, lines and roads — with today's stock, machine states, trucks and alerts placed where they happen.
Open the 3D twin →EnterpriseDigital twins · by industry
For plant and factory heads, operations heads and supply-chain teams in Indian industry. Your site drawn to scale and connected to the systems you already run: stock, machines, trucks and alerts on one 3D model.
013D plant twins
Pick an industry. Each twin has guided views from intake to dispatch; click any machine for its live record, and AI insight cards fly you to the problem. Switch to night mode, or colour by efficiency or energy.
Fictional plants with sample data — your twin is drawn from your own site and systems.
02Definition
One operational record underneath; four ways to look at it.
A digital twin is a live model of a plant, warehouse or supply chain that stays in step with the real one through the data it already produces. An Autowhat twin is operational: it draws the site to scale and puts today's stock, machine states, material flow, trucks and alerts where they happen, so the plant team sees what is short, stuck or about to run out — and who should act.
The site drawn to scale — buildings, silos, bins, lines and roads — with today's stock, machine states, trucks and alerts placed where they happen.
Open the 3D twin →Plant to warehouse to customer on one record: orders, production, stock, freight and dispatch, with the constraint that limits the week.
Supply-chain twin vs control tower →Plants, depots, routes and trucks on a live map of India, with lane-level delays, no-entry windows and dock slots.
See the India network twin →The ranked action queue on top of the twins: what needs a decision now, who owns it and what it costs to wait.
SCM control tower →03By industry
What each twin draws, the systems it reads and the decisions it brings forward.
04Layers
Colour the plant by status, efficiency or energy; every number on the twin traces back to the system and time it came from.
| Layer | What it shows | Where the data comes from |
|---|---|---|
| Buildings | Halls, sheds, godowns and yards, extruded to height and coloured by load. | Site drawing, satellite trace or GPS points taken on site |
| Silos, bins and tanks | Each one filled to its current level; red when full, amber when low. | Bin level registers, weighbridge, level sensors, ERP stock |
| Machines and lines | Every unit coloured running, slow, stopped or idle, with the reason. | PLC, counters, shift logs, maintenance tickets |
| Material flow | Animated paths from intake to dispatch, so you see what moves and what waits. | Production entries, transfers, batch records |
| Trucks and yard | Trucks waiting, at docks and on internal roads; forklifts in the warehouse. | Gate passes, FASTag, dock schedule, GPS |
| Alerts | Numbered pins on the exact building, bin or line, each with the owner and next step. | Rules on all of the above |
| Heat and density | Hexagon heat map of temperature, dwell, picks or downtime. | Sensor readings, scans, events |
Any view can be exported to Kepler.gl or GeoJSON for your own analysts.
05Time
The same 3D model in three modes, so reviews and planning use the plant the team already recognises.
Stock, machine states, trucks and alerts as of the latest reading. Stale feeds are shown as stale, not hidden.
Scrub back through a shift to see when a bin filled, a line stopped or a truck queue built, and who was told.
Projected bin levels, stock against orders and queue length, so the shortage is visible before it happens.
06How it is built
Built with your plant team around the data you already keep; sensors only where a missing reading costs money.
Site plan
We trace the site from a drawing or satellite view and confirm it with GPS points taken on site.
Your systems
ERP or Tally, weighbridge, gate passes, PLC counters, lab registers, Excel sheets and WhatsApp groups.
Flows and rules
Material flow, capacities and norms are set with your plant team; every rule shows its source.
On WhatsApp
Each alert goes to the person who can act, with the next step and a one-tap reply.
Replay and improve
Shift and week reviews run on the replay; rules and layers are tuned from what was missed.
OverviewDigital twin vs control tower vs MES
| SCADA / MES | Dashboards and BI | Control tower | Autowhat digital twin | |
|---|---|---|---|---|
| Scope | Equipment or production inside one system | Whatever the report was built for | Exceptions across the chain | The whole site and its flow, in 3D |
| Where an issue shows | On the HMI or MES screen | In a chart, next morning | In a ranked queue | On the building, bin or line it affects, and in the queue |
| Time | Now | Past | Now | Now, 24-hour replay and 72-hour forecast |
| Data | Its own | Extracts | Several systems | ERP or Tally, weighbridge, gate, PLC, lab, sheets and WhatsApp |
| Who acts | Operators | Managers, later | Control desk | The owner, on WhatsApp, with the next step |
Global digital twin software falls into three groups: simulation tools for planning a plant, developer platforms for building your own twin, and IoT platforms for connected machines. Autowhat builds the operational twin of a running plant for you, from the data it already keeps.
| Platform | What it is | Typical use | You start from |
|---|---|---|---|
| Siemens Tecnomatix Plant Simulation | Software to model, simulate and analyse production systems and logistics processes, to optimise material flow and resource use in plant planning. | Planners and engineers testing a layout, line or flow change before it is made. | A simulation model built by your engineers |
| Bentley iTwin Platform | A collection of APIs and services for developers to build infrastructure digital twin applications. | Software teams and integrators building their own twin of infrastructure and engineering data. | Engineering models and a development team |
| ThingWorx (PTC until March 2026, now TPG) | An industrial IoT platform for connecting equipment and building applications, including twins of assets. | Remote monitoring, maintenance and operator apps on connected machines. | Connected equipment and app development |
| Microsoft Azure Digital Twins | A platform as a service for twin graphs of environments such as buildings and factories, modelled in DTDL and fed from IoT Hub or APIs. | Teams building a custom IoT solution on Azure. | DTDL models, IoT Hub and other Azure services |
| Autowhat Digital Twins | An operational 3D twin of the whole site, built with your plant team, with stock, machine states, trucks and alerts where they happen. | Indian plants, warehouses and yards that want one live model and alerts to the owner on WhatsApp. | Records the plant already keeps; sensors only where a missing reading costs money |
Descriptions of other platforms are summarised from their public pages as of October 2026 (Siemens, Bentley, PTC, Microsoft Learn); this is not a feature-by-feature evaluation.
FAQQuestions about digital twins
What a digital twin is, how one is built, and what it takes to run one in an Indian plant.
A digital twin is a live model of a physical asset, plant or supply chain that stays in step with the real one through the data it already produces. Autowhat builds operational twins: a 3D model of your plant that shows today's stock, machine states, trucks and alerts in the place they happen.
In five steps: trace the site from a drawing or satellite view, connect the systems you already run (ERP or Tally, weighbridge, gate passes, PLC counters, lab registers), model the material flow and norms with your plant team, set alerts to the people who act, then review shifts on the replay.
In manufacturing, a digital twin models the plant's flow from raw material to dispatch: silos and bins, machines and lines, finished goods and trucks. It answers what is short, what is stuck and what will run out, and sends that to the plant team before the shift ends.
A digital twin models the physical plant or network and how material moves through it. A control tower sits on top and ranks what needs a decision now. Autowhat gives you both on one record; see our guide on supply-chain twin vs control tower.
No. SCADA controls and monitors equipment, and an MES tracks production inside its scope. A plant digital twin reads from both, adds orders, stock, lab results and trucks from other systems, and shows the whole site in one 3D view with alerts.
Any plant with a physical flow. We build twins for steel, ferro-alloys and furnaces, flour mills and food processing, textiles, pharma and cold chain, warehouses and distribution, FMCG and packaging lines, and plant gates, yards and docks.
Usually not. Most plants already record enough in ERP or Tally, weighbridge slips, gate passes, lab registers, PLC counters and WhatsApp groups. The twin starts with those and adds sensors only where a missing reading costs money.
A supply chain digital twin models plants, warehouses, routes and customers on one record, so a delay at one point shows its effect on orders downstream. Our network map of India and the SCM control tower are built on it.
A 3D warehouse twin draws every aisle, rack and dock to scale and colours them by occupancy, ageing or pick density, with trucks in the yard and forklifts on the floor. It shows where space, docks and labour are wasted.
The first site is scoped in a 30-minute working session on your own data. Most products go live on one site or process within weeks, then extend to more units and sites on the same record.
No. A simulation model tests a design or a change offline, on assumptions an engineer sets. A digital twin stays connected to the real plant through its data and shows what is happening now. Autowhat's twins are operational: live, a 24-hour replay and a 72-hour forecast on the same 3D model.
No. A plant digital twin needs a physical flow and the records that describe it, not a large sensor network. Most plants already keep ERP or Tally entries, weighbridge slips, gate passes and lab registers, so a twin can start on one site or process and extend to more units on the same record.
Autowhat prices each twin per deployment after a 30-minute working session; there is no public list price. Four things drive the cost: the number of sites and units modelled, the systems to connect (ERP or Tally, weighbridge, PLC, lab), whether new sensors are needed, and hosting on managed cloud, your own VPC or on-premises.
On managed cloud, in your own VPC (AWS, Azure or GCP) or on-premises, with your keys. India data residency is available when required, and the data stays yours.
07Briefing
A working session: your site drawn, two or three data sources connected, and the first alerts written with your team.