Manufacturing Decision Intelligence
Make smarter production, planning, inventory and operational decisions with real-time intelligence.
Six questions the plant asks every week.
These are not reports. They are the decisions that determine throughput, working capital and margin — and Veraius is organised around them.
Production
Match what the plant makes to what the business actually needs.
- What should we produce?
- When should we produce it?
- Which capacity should we use?
Inventory
Hold enough to stay running, not so much that capital sits still.
- How much inventory should we hold?
- Which materials are at risk?
- When should we purchase?
Demand
See the shape of demand before it reaches the schedule.
- What will demand look like?
- Which products are growing?
- Which products are declining?
Cost
Trace cost movement back to the process that caused it.
- Why is production cost increasing?
- Which products are most profitable?
- Where are margins being lost?
Maintenance
Intervene before the line stops, not after the shift is lost.
- Which machine is at risk?
- When should maintenance happen?
- Where is downtime likely?
Quality
Connect quality outcomes to the parameters that drive them.
- Where are quality issues occurring?
- Which parameters influence quality?
- Which line has elevated risk?
From a question on the floor to a decision you can defend.
A production question runs the full chain: routing, planning, specialist agents for demand, capacity and cost, a review pass, grounding in your MES and ERP data, and an honesty check before anything is recommended.
The systems you already run, read as one.
ERP
Orders, bills of materials, costing and procurement.
MES
Work orders, routings, yield and shift performance.
IoT & Sensors
Machine telemetry, process parameters and downtime events.
SCM & WMS
Supplier lead times, stock positions and material flow.
Your production data never has to leave the plant.
Process parameters, yields and costs are competitive information. Veraius runs fully on-premise — models, retrieval and the decision layer all inside your own network — so evaluating it does not mean exporting what makes you competitive.
What your teams gain from Veraius agents.
OEE and scrap in view
OEE, scrap and downtime are reported by line, machine and shift, with the causes worth chasing highlighted.
See the Manufacturing agents ManufacturingCapacity against orders
Open orders are compared with available capacity so delivery risk shows before a due date is missed.
See the Manufacturing agents Supply ChainSuppliers judged on performance
Delivery, quality and compliance are tracked per supplier.
See the Supply Chain agentsIn 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
Frequently asked questions
Straight answers about integrations, deployment, security and cost — including where the honest answer is "it depends".
Ask your own questionWhat decisions does Veraius support in manufacturing?
The six questions a plant asks every week: what to produce and when and on which capacity; how much inventory to hold and which materials are at risk; what demand will look like and which products are growing or declining; why production cost is moving and where margin is being lost; plus quality and maintenance. These are framed as decisions that determine throughput, working capital and margin — not as reports about them.
Which manufacturing systems can it read from?
ERP systems such as SAP S/4HANA, Dynamics 365, Oracle, Infor and IFS, and the ERPs most common in Turkey — Logo Tiger, Netsis, Mikro, Canias and Nebim; MRP and production planning such as SAP PP/DS, Katana and MRPeasy; MES and shop-floor systems such as Siemens Opcenter, Rockwell FactoryTalk and AVEVA, plus PLC and sensor data over OPC UA, MQTT and Modbus; and WMS, CRM, data warehouses and files. These are systems the product reads from — they are not partnerships or certified integrations, and we would rather be precise about that distinction than imply an endorsement.
Can it work if our production data is incomplete or messy?
Partly, and this deserves an honest answer. Veraius can relate data across systems and work around gaps, but no decision layer can forecast from data that is not collected. If shift-level output is not recorded anywhere, no model can reason about it. The agent-readiness assessment on this site is designed to surface exactly this before a project starts rather than three months in.