Industry · Manufacturing

Run the plant on one live number

Unify ERP, MES, plant historians and supply-chain data into one governed view — then let SCIKIQ explain what moved, why, and act on it before the next shift.

01Where it hurts

The things your plant managers actually say

Every one of these is a real question a manufacturer could not answer from their own data. SCIKIQ turns each into a governed answer — and an action.

Plant visibility
“My OEE from the plant and from finance never match — I don't know which to trust.”

SCIKIQOne governed OEE, reconciled across MES and ERP, with lineage to every source.

Quality & scrap
“By the time we traced the defect to a supplier batch, we'd shipped 3,000 units.”

SCIKIQThe graph links defect → lot → supplier in seconds, and an agent quarantines it.

Inventory
“We're stocked out on A-items and sitting on 90 days of C-items. Every quarter.”

SCIKIQLive A/B/C balancing across plants; an agent rebalances stock and reorder points.

Planning
“Our planners find out about a constraint on delivery day, not planning day.”

SCIKIQConstraints surface in the plan; an OTIF agent re-sequences before the miss.

Supplier risk
“We only find out a supplier is a problem when production stops.”

SCIKIQVendor signals in the graph flag risk early; procurement is alerted automatically.

True margin
“We know revenue by product. We've no idea which are profitable after scrap and freight.”

SCIKIQTrue cost-to-serve per SKU after scrap, rework and freight — as a data product.

Three kinds of data, one governed graph — SCIKIQ fuses live IIoT signals, systems of record, and the documents in between.

IIoT & sensors

live signals & telemetry

Machine telemetryVibration & temperaturePLC / SCADA tagsEnergy metersOEE counters
Structured

systems of record

SAP / ERPMES work ordersQuality inspectionsInventoryProcurement POs
Unstructured

text, images, audio

Maintenance logsSOPs & work instructionsInspection photosSupplier certificatesShift notes
One governed 360 & knowledge graphfused, contextualised and AI-ready
02The four layers

Four layers. Each answers a harder question.

Enterprise 360 tells you what happened. The knowledge graph tells you why. The copilot explains it in plain language. The agent factory does something about it — on your manufacturing data.

01
Layer 1 · Enterprise 360

What is happening?

Unify machine, order, quality and inventory data across ERP, MES and historians into one real-time plant view — so operations and finance work from the same OEE.

OutcomeOperational efficiency
Manufacturing control towerOEE · quality · cost · deliveryLIVE
OEE
%
74.2
3.8down
First-pass yield
%
96.1
0.9down
Scrap cost
QTD
4.2M
0.6up
On-time-in-full
%
91.5
2.1down
Inventory
days
63
5up
Unplanned downtime
hrs / wk
18
4up
Select any metric to drill into its trend, root cause and AI analysis
Trend
Root cause

AI analysis
Contributing factors weighted attribution · explainable
Recommended
02
Layer 2 · Knowledge Graph

Why is it happening?

Trace the relationships between machines, batches, suppliers and orders to find the root cause behind a number that moved — with the exact source of every fact.

OutcomeRoot cause & traceability
Drag to move · scroll to zoom · click a node to inspect

Traced: OEE fell 3.8pt on Line 3 — traced to a tool-wear pattern on one machine, back to a material lot from a single supplier, and the 3,000 units now at risk.

03
Layer 3 · AI Copilot

Tell me, in plain language

Let a plant manager ask about OEE, scrap or a late order in plain language — answered from governed data with full lineage, not a spreadsheet.

OutcomeFaster decisions
SCIKIQ CopilotGrounded on your Manufacturing knowledge graphONLINE
Grounded & citedDocument uploadVoiceWeb (governed)
04
Layer 4 · Agent Factory

Don’t just tell me — fix it

Turn answers into action. Agents recover downtime, quarantine defects, defend OTIF and rebalance inventory on their own — every action logged in the source system.

OutcomeRevenue & margin protection

Downtime Recovery Agent

Restores throughput the moment a line stops.

TriggerUnplanned downtime exceeds threshold on a line
ReadsMES (stoppages), CMMS (maintenance), ERP (spares)
ActsDispatches a maintenance work order, reserves spares, reschedules production
Recovers OEE and defends OTIF on priority lines.

Scrap Root-Cause Agent

Stops defective product before it ships.

TriggerScrap or defect rate breaches the control limit
ReadsMES (defects), QMS (inspections), Procurement (lot genealogy)
ActsQuarantines the suspect lot, opens a CAPA, notifies the supplier
Prevents defective shipments and cuts scrap cost.

OTIF Guard Agent

Protects the promise date before it slips.

TriggerA priority order is at risk of missing its date
ReadsPlanning (constraints), ERP (inventory), Logistics (transit)
ActsRe-sequences the plan and expedites the constrained material
Defends OTIF and the revenue behind the order.

Inventory Balancer

Frees working capital without stockouts.

TriggerA-item stock-out risk while C-items overstock
ReadsERP (stock), Planning (demand)
ActsRebalances stock across plants and adjusts reorder points
Frees working capital and prevents line stoppages.
03The outcome

What manufacturers get

Proven on real plants across process and discrete manufacturing.

20-40%Higher throughput and asset utilisation
30%Less unplanned downtime
25%Lower scrap and rework cost
WeeksTo a live plant 360 — not years
04Skill your team

The engineers who deploy this

SCIKIQ Certified Data and AI Engineer runs a specialisation for this sector — the same value chain, data landscape and constraints as this page, taught as hands-on labs with timed assessments and two end-to-end capstones.

See all 21 specialisations

Which of those sounds like your Monday morning?

We would love to think through it with you — no pitch, no form maze.

Talk to us

Frequently asked questions

How does SCIKIQ improve OEE across multiple plants?

SCIKIQ unifies MES, historians, ERP and quality systems into one governed Factory 360, so availability, performance and quality are calculated from a single agreed definition rather than per-plant spreadsheets. Once the definition is shared, downtime and scrap can be compared across sites and agents can act on the gaps.

Do we have to move plant data to the cloud first?

No. SCIKIQ connects to plant historians, MES and ERP where they already run, including on-premise systems, and governs the data in place. There is no rip-and-replace migration before you get a working view.

How long before a manufacturing 360 view is live?

Typical deployments reach a live 360 view in about 60 days. Most manufacturers start with one plant or one line, prove the numbers against what the team already trusts, then expand.