A supply chain control tower is a centralized layer of operational intelligence that unifies data across plan, source, make, warehouse, transport, and fulfill to deliver real-time, end-to-end visibility. An AI supply chain control tower adds predictive and prescriptive analytics, so teams detect exceptions early, anticipate disruptions, and act on the recommended next step.
InfoSun builds and runs your AI supply chain control tower: one place where fragmented data becomes decisions. We unify signals from your WMS, TMS, and ERP into real-time visibility, executive dashboards, and predictive analytics, with domain experts governing the models and AI agents handling monitoring under human supervision. The result is a shift from daily firefighting to decision intelligence across the network.
Each service runs on the same human-governed, AI-native operating model. Explore any one for what it covers, the outcomes it drives, and how it is delivered.
See every order, shipment, and exception across plan, source, make, and deliver in one view.
Predictive analytics flags disruptions before they hit service or cost.
Prescriptive recommendations move teams from reporting to action, with humans in control.
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.
Choose the processes together, and analyze them first
Stand up the team, governance, and KPIs
Where supervised AI suits the work, and where it does not
Agents draft and perform; your people approve
Tune against live KPIs with your team
Runs on Manhattan, SAP EWM, and Blue Yonder, plus your TMS and ERP. No rip-and-replace.
| Build in-house alone | Contract it out | Run it with InfoSun | |
|---|---|---|---|
| Speed to value | Slow ramp: hire, tool, and train first | Fast start | Fast start, on the systems you already run |
| Who owns the capability | You, eventually | The vendor | You: playbooks, models, and process transfer to you |
| Process knowledge and data | Stays in-house | Accumulates with the vendor | Stays in your systems and your data |
| AI in the operation | You build it yourself | On the vendor's roadmap | AI-native from day one, human-supervised |
| Measured on | Effort and milestones | Activity and SLAs | Outcomes against your baseline |
India hosts 1,700+ global capability centers, and 83% of GCCs are already engaging generative AI.
NASSCOM and Zinnov India GCC Landscape; EY GCC Pulse, 2025. Market context, not InfoSun results.
No logos to borrow, no invented results. We prove value the only way that counts: on your baseline, on your dashboards.
We measure your current cost, accuracy, and service together at the start, so every target is grounded in your reality.
We set the outcome numbers with you before work starts. No moving goalposts.
We prove the model on a single workflow or site before scaling, so risk stays small.
You see the movement on your own metrics, monthly, not on ours.
We run on the WMS, TMS, and ERP you already own.
AI agents propose, your experts approve. Never a black box.
Get the baseline and business case before you commit.
Measured on cost, accuracy, and decision speed, on your P&L.
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.
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.
A control tower gives real-time visibility and exception management over live operations. A supply chain digital twin is a virtual model of your network you use to run what-if scenarios and test decisions before you commit. They work together: the digital twin simulates options, and the control tower executes and monitors the chosen plan.
AI turns raw, fragmented data into decision intelligence. It unifies signals across systems, senses demand shifts, detects anomalies people would miss, and predicts where disruptions will occur. Under human supervision, AI agents handle continuous monitoring and exception triage so teams focus on the decisions that matter.
A supply chain executive dashboard should track OTIF (on-time in-full), fill rate and service level, inventory turns and days of supply, forecast accuracy, cost-to-serve, and open exceptions by severity. The goal is one view that connects service, working capital, and cost so leaders can act quickly.
Results vary by baseline, but automating monitoring, reporting, and exception triage typically lifts operational productivity in the 20-40% range and removes much of the manual effort behind daily firefighting. Because InfoSun keeps people in control of the AI, those gains come without losing oversight.
Yes. An AI supply chain control tower uses predictive analytics and demand sensing to spot risks early, from supplier delays to demand spikes, and issues disruption alerts with recommended actions. This shifts operations from reacting after the fact to resolving issues before they affect OTIF or cost.
Written and reviewed by the InfoSun operations team. Last updated July 14, 2026.
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.
