See your warehouse as it actually is — right now, not on yesterday's report.

Centralyantra builds a live, moving picture of your warehouse floor — inventory, labor, and automation, mirrored in real time — so you can direct execution instead of reacting to it after the fact.

Yesterday's report vs. right now

Drag the handle across the floor. On the left is the picture a report gives you. On the right is the same floor as the twin sees it, moving in real time.

Report, yesterday 6:00 pm Live twin, now

What it does

A digital twin only earns its place on the floor if it changes what happens on the floor. Centralyantra is built around that principle.

The control tower view

An illustrative preview of the screen your team works from. Everything in it is simulated, and it updates on its own.

How it works

From raw floor data to a working execution loop. Scroll to step through it.

  1. Centralyantra ingests data from your WMS, IoT sensors, scanners, and automation systems already in place on the floor.

  2. That data is fused into a continuously updated digital model of the warehouse — inventory, layout, equipment, and labor in one unified view.

  3. The twin actively sequences tasks and allocates resources based on current conditions, not a static plan made hours earlier.

  4. Run "what-if" scenarios against the live model — a layout change, a new pick strategy — and see the projected impact before it touches the real floor.

  5. Every cycle feeds back into the model, so recommendations and simulations get sharper the longer the twin runs.

Who it's for

Built for operations where floor conditions change faster than a static plan can keep up with.

Keep every client's SLA in view

Order profiles shift by client and by the hour. The twin keeps the plan tied to what the floor is really doing.

  • See SLA risk on the floor before it becomes a missed cutoff.
  • Re-sequence tasks and labor as client volumes shift.
  • Test a staffing plan for a peak day before you commit to it.

Stay ahead of the peak

Volume spikes fast and pick cycles are short, so small delays compound. The twin shows them as they start.

  • Simulate a peak-demand plan against the live model ahead of time.
  • Spot a stalled lane or delayed pick the moment it happens.
  • Keep fast picking cycles moving with live task routing.

Keep the line fed

Material has to reach the line in step with production. The twin follows it from inbound to the point of use.

  • Follow material from inbound to the line in one live view.
  • Surface shortages and blocked paths before they stop production.
  • Log every state change to find recurring bottlenecks.

One model for people and machines

When robots, conveyors and pickers share a floor, each layer needs to know what the others are doing.

  • Coordinate people, robots and conveyors from one model.
  • Test automation and control logic against the twin, not the floor.
  • Route exceptions to the right person or machine, with context.

Case study

A look at Centralyantra in a real deployment.

Template: client name, figures, and quotes below are placeholders. Swap in real details when ready.

Cutting high-bay warehouse ramp-up time by 40% with a live digital twin

[Client Name] used Centralyantra to bring a new automated storage facility from commissioning to full throughput in a fraction of the usual time.

[Client Name]

Headquarters[City, Country]
Industry[Industry sector]
Product usedCentralyantra Warehouse Digital Twin
Facility size[e.g. 8,000 pallet positions]

Challenges

  • Bring a new high-bay automated facility online without months of trial-and-error on the live floor
  • Reduce risk of errors surfacing only after go-live, when they're most expensive to fix
  • Get the facility to target throughput fast enough to avoid downstream distribution delays

Keys to success

  • Modeled the full facility — racking, conveyors, stacker cranes — as a live digital twin before go-live
  • Ran automation and control logic against the twin, not the physical floor, to catch issues early
  • Used simulation to test storage and retrieval strategies before committing to them in production

Results

40%reduction in commissioning time
85%+of errors caught before go-live
3xfaster ramp-up to target availability

Goods reaching distribution measurably faster post-launch.

"Centralyantra's digital twin let us work through problems on screen instead of on the floor. By the time the physical facility was ready, we already knew how it would behave."

— [Name], [Title], [Client Name]

The challenge

[Client Name] was bringing a new high-bay automated storage facility online — thousands of pallet positions, multiple stacker cranes, and a conveyor network tying it all together. Commissioning a facility like this the conventional way means testing control logic, automation, and process flow directly on the physical floor, one issue at a time.

Building the twin

Centralyantra modeled the facility end to end — rack layout, conveyor paths, stacker crane behavior, and the control logic that drives them — as a live digital twin, before the physical build was fully commissioned. Automation programs were tested against the twin under realistic load, not just on paper.

Simulated crane and conveyor movement inside the live twin, ahead of physical go-live.

Results in production

By the time the physical facility went live, most of the commissioning risk had already been worked through in the twin. [Client Name] reached target throughput in a fraction of their usual timeline, with fewer surprises during the final ramp-up phase.

"We'd never go back to commissioning a facility this size without a digital twin running alongside it."

— [Name], [Title], [Client Name]

Questions, answered

Straight answers on how the twin works and how to get started.

It is a live model of your floor: inventory, equipment, labor and automation, updated continuously from your own systems. You see what is happening now, instead of what a report said earlier.

A dashboard shows you what happened. Centralyantra's twin also directs work: it sequences tasks, allocates resources and routes exceptions from the live model, and lets you test changes before you make them.

No. Centralyantra is system-agnostic. It pulls from your existing WMS, sensors, scanners and automation equipment instead of asking for a rip-and-replace.

Yes. Scenario simulation runs what-if plans for layout, staffing or peak demand against the live model, so you can see the projected impact before anything touches the real floor.

3PLs and fulfillment centers, e-commerce distribution, manufacturing warehouses, and automated or hybrid facilities, wherever floor conditions change faster than a static plan can keep up.

Centralyantra is powered by Quinta, an intralogistics automation company in Bengaluru, India. You can learn more at quinta.co.in.

Cost depends on the size of your facility, the systems you want to connect and the scope of the project. The team can walk you through the options. Contact details are in the footer.

Request a walkthrough. Call +91 89518 58620 or email sales@quinta.co.in, and the team will show how it fits your current WMS and floor equipment.

Put a live model between your plan and your floor.

Get a walkthrough of how it fits your current WMS and floor equipment.

Ask about Centralyantra