New guideAI agents for supply-chain operations, in production under human supervision.
InfoSun
AI, Data & Control Tower

Digital Twin & Simulation

Digital Twin & Simulation is a service within InfoSun's AI, Data & Control Tower capability, covering what-if scenario modeling of the network before you commit capital or change flows. We run it as capability you own: domain experts govern the work, AI agents execute the high-volume steps under supervision, and it operates on the WMS, TMS, and ERP you already run. You are measured on outcomes, not headcount.

Human-orchestrated AI Runs on your existing systems Outcomes, not headcount
AI, Data & Control Tower Live
Digital Twin & Simulation
AI & Machine LearningPredictive AnalyticsSupply Chain Control TowerBusiness IntelligenceExecutive DashboardsDigital Twin & SimulationOperational Support
People govern · AI assists and executes · capability you retain
Overview

Digital Twin & Simulation sits inside AI, Data & Control Tower, one of the capability areas InfoSun runs for supply chain, logistics, and enterprise teams. The approach is the same across every service: move a high-cost, high-volume workflow onto a human-governed, AI-native operating model, prove the numbers against your baseline, and leave the capability with you.

What Digital Twin & Simulation covers with InfoSun

Set up and run Digital Twin & Simulation on your existing systems, no rip-and-replace: what-if scenario modeling of the network before you commit capital or change flows.
AI agents handle the repeatable volume while your experts own exceptions, judgment, and sign-off.
A measured baseline for cost, accuracy, and speed, reported on your own dashboards, not ours.
A path from a single workflow to full ownership, transferred to your team at your pace.
Outcomes, not headcount

What the work delivers

Real-time visibility

See every order, shipment, and exception across plan, source, make, and deliver in one view.

Fewer surprises

Predictive analytics flags disruptions before they hit service or cost.

Decisions, not dashboards

Prescriptive recommendations move teams from reporting to action, with humans in control.

Higher productivity

Automating monitoring and exception triage can lift operational productivity 20-40%.

Typical ranges across supply chain, logistics, and enterprise engagements, baselined against your current numbers at the start.

How it works

One operating model, from first workflow to full scale

1
Agree the scope

Choose the processes together, and analyze them first

2
Establish

Stand up the team, governance, and KPIs

3
Find the AI fit

Where supervised AI suits the work, and where it does not

4
Augment

Agents draft and perform; your people approve

5
Improve together

Tune against live KPIs with your team

Runs on Manhattan, SAP EWM, and Blue Yonder, plus your TMS and ERP. No rip-and-replace.

No rip-and-replace

Runs on the WMS, TMS, and ERP you already own.

Human in the loop

AI agents propose, your experts approve. Never a black box.

Start with an assessment

Get the baseline and business case before you commit.

Outcomes, not headcount

Measured on cost, accuracy, and decision speed.

Proof in practice

Real work, anonymized

A selection of delivered outcomes from InfoSun engagements. Client names and financials are withheld.

Results from real InfoSun engagements, baselined at the start of each engagement. Client names and financials are withheld by request.

Frequently asked questions

What is Digital Twin & Simulation?+

Digital Twin & Simulation is one of InfoSun's AI, Data & Control Tower services, covering what-if scenario modeling of the network before you commit capital or change flows. InfoSun delivers it as capability you own, with domain experts governing and AI agents executing under human supervision, on the systems you already run.

How does InfoSun deliver Digital Twin & Simulation?+

Through one operating model, run with you rather than for you. It sits on the WMS, TMS, and ERP you already use. Supervised agents analyze, draft, recommend, and perform approved repetitive work; your people approve material decisions and own exceptions; and results are measured against a baseline agreed at the start.

How is Digital Twin & Simulation measured?+

On outcomes, not headcount: cost-to-serve, accuracy, cycle time, and service levels, reported on your own dashboards. A baseline is set in Discover so every improvement is measurable as AI and process changes compound.

What is a supply chain control tower and how does it work?+

A supply chain control tower is a centralized command center that unifies data from your WMS, TMS, ERP, and carriers into real-time, end-to-end visibility. It monitors orders, inventory, and shipments against plan, flags exceptions automatically, and routes them to the right owner. An AI control tower goes further, using machine learning to predict disruptions and recommend the best next action.

Part of InfoSun's AI, Data & Control Tower capability. Written and reviewed by the InfoSun operations team. Last updated July 15, 2026.

Why rent capacity when you can own your capability?

In a 30-minute assessment we map one high-cost workflow against your baseline and show the path to it.

30 minutes. Scoped to your operation. No obligation.

Request an Assessment