Decision Cockpit

See What Matters. Decide What Matters Next.

The cockpit is where the platform meets the person. Business health, live alerts, building risks, forward predictions and the decisions that are waiting on you — in one place, ranked by what deserves attention now.

The Cockpit

Not a dashboard. A control surface.

A dashboard shows you numbers and leaves the interpretation to you. The cockpit shows you what changed, what it means, what is likely next, and what you can do about it.

Veraius — Decision Cockpit Sample data
Store performance
Store sales
₺48.2M
+8.4%
Gross Margin
28.3%
+1.2pt
Stock cover
23 days
−3 days
On-shelf availability
96.8%
+2.1pt
38Actions prepared automatically this week
31Approved
2.6 hAverage time from signal to decision
AI Recommendations
Transfer 400 units of Product X from DC-2 to Store 18
Raise safety stock on 6 SKUs ahead of the weekend campaign
Reduce the discount on 3 SKUs in the North region by 5 points
Decisions Required
Replenishment
DC-2 is overstocked while 3 stores run short of Product X.
Benefit: stock moves to where it sells instead of a new purchase.
Stock cover
Product X stock-out probability at Store 18 this weekend: 78%.
Benefit: the shelf stays full and the sale is not lost.
Demand
Weekend campaign: demand expected to rise 14% on 6 SKUs.
Benefit: the campaign does not run out on day one.
Pricing
Margin erosion on 3 SKUs in the North region.
Benefit: margin is protected before the campaign starts.

Veraius reads your data, turns it into signals, starts workflows automatically, notifies the right people and prepares decisions they approve in the Veraius app.

Capabilities

Everything the decision needs, on one screen.

Executive Overview

The state of the business in a single view, without waiting for a monthly pack.

Business Health

Revenue, margin, inventory and service level tracked together, not in separate reports.

Alerts

Threshold and pattern alerts raised the moment a signal appears, not at period close.

Risks

Stock-out, capacity, supplier and margin risks surfaced while they can still be prevented.

Predictions

Forward signals for demand, stock, production and performance, with confidence attached.

Recommendations

Ranked next actions with their reasoning, expected impact and trade-offs.

Decisions Requiring Attention

A working queue of the choices that are genuinely waiting on a person.

KPI Monitoring

Continuous tracking against targets, with drift detected before it becomes a miss.

Role-Based Views

The same platform, a different cockpit per role.

A plant manager and a CEO do not need the same screen. Each role sees the decisions that belong to them, at the depth their job requires.

CEO

Company-wide health, the risks that matter at board level, and where performance is really coming from.

COO

Operational throughput across sites, bottlenecks forming, and the decisions blocking execution.

Plant Manager

Line capacity, production plan risk, material availability and machine failure likelihood.

Retail Manager

Store-level demand, stock-out risk, replenishment needs and promotion profitability.

Supply Chain Cockpit

Supplier risk, inbound delays, inventory positions and transfer recommendations across the network.

In Context

The cockpit sits on top of the whole pipeline.

Nothing appears in the cockpit that did not come through connection, context, prediction and reasoning first.

01 Connect

ERP, POS, MES, WMS, CRM and IoT — into one place.

02 Understand

Operational data related and put in business context.

03 Predict

Demand, stock, production and performance, ahead of time.

04 Decide

Decision models and AI weigh the options with you.

05 Act

Decisions executed through workflow and automation.

Veraius agents

What your teams gain from Veraius agents.

In every department

  • Agents prepare the work on your own data; your people approve what happens next
  • Plain-language questions answered from live ERP data, with tables and interactive charts
  • Grounding check: numbers that cannot be traced to a source are not shown
  • Explainability, confidence and risk scores with decision rationale
  • Slack, Teams, WhatsApp and Signal channels with an approval inbox
  • Department-based access policy with personal data masking

All agent departments

Questions

Frequently asked questions

Straight answers about integrations, deployment, security and cost — including where the honest answer is "it depends".

Ask your own question
What does the decision cockpit show?

The decisions that need attention, ranked by consequence rather than by recency. Business health, open risks, live predictions and the queue of recommendations awaiting approval — a decision intelligence dashboard differs from a reporting one in that every item on it is actionable by the person looking at it.

How does the cockpit avoid becoming another dashboard nobody opens?

Its items expire. A recommendation has a decision window and leaves the queue when it closes, so the screen reflects what is still open rather than accumulating. A dashboard that shows the same twelve charts every morning teaches people to stop looking.

Who is the decision cockpit for?

The person accountable for the numbers, not the analyst who prepares them. If a category manager needs a request to an analytics team to find out why margin moved, the answer arrives after the decision window has closed.

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