SCIKIQ Manufacturing Intelligence

Make Manufacturing Data AI-Ready in Weeks

Unify ERP + Plant + Supply Chain Data into a governed Single Source of Truth.

Track real-time KPIs, run KPI Deep Dives, and use Conversational Analytics to understand what's working and what's not.

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Manufacturing Intelligence · Active
OEEGoverned & Trusted
SingleSource of Truth
AI-ReadyIn Weeks
OEE Score84%
OTIF Rate87%
Yield95.8%
Turns6.2x
SCIKIQ AI
OEE dropped 4.2 pts on Line 3, Plant B
Root cause: Unplanned downtime · Shift 2
→ Maintenance alert missed · 3 machines
Manufacturing Data Hub OEE Tracking KPI Deep Dive Conversational Analytics ERP Integration Plant Performance Governed KPIs Supply Chain Visibility Inventory Intelligence Quality Analytics AI-Ready Data Manufacturing Data Hub OEE Tracking KPI Deep Dive Conversational Analytics ERP Integration Plant Performance Governed KPIs Supply Chain Visibility Quality Analytics AI-Ready Data
Proven Value

Manufacturing Use Cases

Use Case 01

Plant Performance Visibility

"My OEE numbers from the plant and from finance never match. I don't know which one to trust."

How SCIKIQ Solves It
SCIKIQ connects MES, SCADA & ERP through pre-built connectors
Data Hub standardizes OEE definition across every plant and line
Leadership sees one governed number per site, comparable and trustworthy
Business Questions Answered
What caused OEE to drop last week? Which line is underperforming and why? Which plant has the highest downtime? Which shift is creating production variation? Where are we losing capacity?
Manufacturing plant floor with production lines
🏭 Plant Performance
Plant Performance Visibility
OEE84%
Capacity76%
Uptime91%
Use Case 02

Quality, Scrap, and Yield Intelligence

"By the time we traced the defect back to a supplier batch, we'd already shipped 3,000 units."

How SCIKIQ Solves It
SCIKIQ joins quality, production & supplier data on shared batch and material keys
KPI Deep Dive slices defect rate by line, shift, vendor, and input
Root cause surfaces in hours, not after the customer calls
Business Questions Answered
Why did rejection increase for a specific SKU? Which supplier material is linked to quality variation? Which plant has the highest rework cost? Which batch, machine, or shift is creating defects? Where is yield loss impacting margin?
Quality control inspection on production line
🔬 Quality & Yield
Quality, Scrap & Yield
Scrap Rate4.2%
Yield95.8%
Defects3,000
Use Case 03

Inventory and Working Capital Intelligence

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

How SCIKIQ Solves It
SCIKIQ unifies ERP inventory, WMS, MES WIP & demand signals into one live model
Working capital KPIs — turns, aging, days of supply — calculated centrally
Stock-out and excess risk flagged before it hits the shop floor
Business Questions Answered
Where is inventory stuck? Which SKUs are aging? Where do we have excess stock despite low demand? Which raw material shortage can delay production? Which plants have inventory mismatch between system and reality?
Warehouse inventory and logistics
📦 Inventory Intelligence
Inventory & Working Capital
Turns6.2x
Aging14%
Risk3 SKUs
Use Case 04

Production Planning and Schedule Adherence

"Our planners find out about a constraint on delivery day, not planning day."

How SCIKIQ Solves It
SCIKIQ ingests demand, capacity, material availability & machine readiness into a single Planning model
Planned vs. actual tracked at order level in real time
Constraint risks — shortage, overload, maintenance — surface early enough to act
Business Questions Answered
Which production plan is at risk? Which customer order may get delayed? Which material shortage will impact this week's production? Which plant is missing schedule adherence targets? Where is planning accuracy breaking down?
Production planning and operations scheduling
📅 Production Planning
Production Schedule
⚠ Constraint Risk Detected
Line C — Material shortage · 3 days early
Adherence76%
LineC
RiskEarly
Use Case 05

Supplier and Procurement Intelligence

"We only find out a supplier is a problem when production stops."

How SCIKIQ Solves It
SCIKIQ joins procurement, quality & production data on a common Supplier model
On-time delivery, lead time variance, price variance & rejection rate calculated per vendor
Supplier risk visible before it becomes a line stoppage
Business Questions Answered
Which suppliers are causing production delays? Which suppliers have inconsistent lead times? Which material categories are driving cost variance? Which supplier issues are linked to quality defects? Where should procurement teams intervene first?
Supply chain and procurement operations
🤝 Supplier Intelligence
Supplier Risk Scorecard
⚠ Action Required: Vendor Gamma
Lead time variance +18 days · Intervention needed
Variance+18d
RiskHigh
VendorGamma
Use Case 06

OTIF, Fulfillment, and Customer Commitment Risk

"We discovered the shipment was going to be late the same moment the customer did."

How SCIKIQ Solves It
SCIKIQ connects sales orders, production status, inventory & logistics into one Order Fulfillment model
Every open order checked against live production and stock data
OTIF risk flagged by delay cause before the ship date, not after it
Business Questions Answered
Which orders are at risk of delay? Why did OTIF drop this month? Which plant or warehouse is creating fulfillment risk? Which customers are repeatedly impacted by late delivery? What is the root cause of shipment delays?
Logistics delivery and fulfillment operations
🚚 OTIF & Fulfillment
OTIF & Fulfillment Risk
3 of 47 orders flagged · 4 days before ship date
OTIF Rate87%
Orders47
Flagged3
Use Case 07

Manufacturing Cost and Margin Intelligence

"We know revenue by product. We have no idea which products are actually profitable after you factor in scrap, rework, freight, and returns."

How SCIKIQ Solves It
SCIKIQ joins production cost, quality loss, logistics & returns data onto a product and customer model
True cost-to-serve calculated per SKU, customer, and plant
Finance and operations finally agree on which products are worth making
Business Questions Answered
Which plant is hurting margin? Which product line is creating margin pressure? Where is yield loss impacting margin? What are the top risks this week across operations?
Financial analytics and cost intelligence dashboard
💰 Cost & Margin
Manufacturing Cost & Margin
Margin leakage from scrap & rework
Net MarginLive
Leakage₹2.4 Cr
BySKU
Use Case 08

Executive KPI Deep Dive

"OEE dropped 4 points this week. I have a board meeting in an hour and nobody can tell me why."

How SCIKIQ Solves It
SCIKIQ's semantic engine maps every KPI to its underlying dimensions — plant, line, shift, product, material, supplier
Leaders ask the question in plain English — conversational analytics traverses the semantic model to find what changed and where
No data team, no waiting, no deck — just the answer
Business Questions Answered
Why did plant profitability decline? What caused production output to fall? Which supplier is affecting delivery performance? Which product line is creating margin pressure? What are the top risks this week across operations?
Executive analytics and KPI dashboard
📊 Executive KPI
Conversational Analytics · No SQL needed
Which shift specifically?
Shift 2 · Tue–Thu · 6pm–2am
OEE-4 pts
Line3
PlantB
Manufacturing Intelligence Platform

The complete manufacturing hub
one platform, every insight

SCIKIQ's Manufacturing Hub integrates data from ERP, MES, SCADA, WMS, quality systems, and supplier portals into a unified semantic architecture giving you real-time control over every plant, every line, and every KPI.

No Code Integration Plant Performance Visibility AI-Powered Root Cause Governed KPI Definitions Conversational Analytics Multi-Plant Benchmarking Built-In Governance Working Capital Intelligence
ERP & MES
System Integration
SCADA & IoT
Live Plant Data
Semantic AI
Conversational Engine
360°
Plant & Line Visibility
8 Weeks
Time to Go Live
Data Challenges

Why Reporting Breaks at Scale

Traditional manufacturing data is messy, siloed, and disconnected. This kills agility.

📉

Mismatched KPIs

Plant, finance, and sales numbers never match. You spend meetings debating data, not decisions.

🧱

Trapped Data Silos

Valuable insights are locked in ERP, MES, SCADA, spreadsheets, and vendor portals.

🐌

Reactive, Not Proactive

Root-cause analysis takes days. By the time you know why yield dropped, it's too late.

🌫️

Limited Visibility

No reliable benchmarking across multiple plants or regions. You're flying blind on global performance.

📋

Inventory Trust

Stock-outs and aging inventory happen because no one trusts the numbers in the system.

🤖

AI Stagnation

You can't deploy predictive maintenance or AI copilots on dirty, ungoverned data.

Why It Matters

Benefits of SCIKIQ

Real-time insights built for the manufacturing floor.

👁️

Real-time Visibility

See what is happening across plants, lines, and regions instantly.

⚡

Faster Root-Cause

Understand KPI movements — downtime, yield, delays — immediately, not days later.

📉

Reduced Effort

Automate reporting and eliminate manual reconciliations between spreadsheets.

📦

Inventory Accuracy

Better planning for aging, turns, and stock-outs across every site.

🚚

Improved OTIF

Improve service levels through faster, data-driven decisions on fulfillment.

🤖

AI-Ready Foundation

Prepare your data for predictive maintenance, demand planning, and quality analytics.

🔐

Lower Risk

Higher trust with auditability and strictly governed KPI definitions.

What's Inside

Platform Capabilities

Platform Data Hub Architecture

Platform (Data Hub)

The foundation of your manufacturing data. Connect, unify, and govern your sources into a single reliable reality.

Connectors & Ingestion

Pre-built connectors for ERP, MES, databases, and files.

Data Unification

Modeling across plants and BUs to create a single view.

Data Quality

Automated checks and monitoring to ensure trust.

Governed KPIs

Centralized KPI definitions, lineage, and auditability.

Secure Access

Role-based access and policy-driven controls.

Consumption Layer

Publish trusted datasets into BI, AI, and operational apps.

Intelligence and Analytics Layer

Intelligence (Explain Layer)

Turn unified data into immediate answers with conversational analytics and automated root cause exploration.

KPI Deep Dive

Drill from executive KPI to plant, line, SKU, shift, supplier, or customer.

Conversational Analytics

Ask business questions in natural language and get explainable answers.

Root-Cause Analysis

Compare dimensions to identify what changed and why.

Trend Monitoring

Track changes across time, regions, and production lines.

Actionable Insights

Identify risks, exceptions, and improvement opportunities.

AI-Ready Semantic Layer

Prepare trusted context for copilots, agents, and predictive analytics.

FAQ

Questions we hear all the time

Everything you need to know before you start, straight from manufacturers who asked the same things.

Manufacturing operations team reviewing data analytics
500+ Questions answered daily by SCIKIQ AI
💬
Conversational Analytics Ask anything. Get answers in plain English.
What systems does SCIKIQ connect to?
SCIKIQ has pre-built connectors for SAP, Oracle, Microsoft Dynamics, and other major ERPs, plus MES, SCADA, WMS, CRM, and flat-file sources like Excel and CSV. If your system has an API or database, SCIKIQ can connect to it typically in days, not months.
How long does it take to go live?
Most customers go live in 6–8 weeks for their first plant or domain. Week 1 is discovery identifying systems, KPIs, and priority use cases. Weeks 2–4 cover integration and KPI standardization. Weeks 4–8 you get dashboards, KPI deep dives, and conversational analytics in production.
Do I need a data team to use SCIKIQ?
No. SCIKIQ is built for business users plant heads, supply chain leaders, finance teams, and operations managers. You ask questions in plain English. The semantic layer translates that into data queries automatically. A data team helps during setup, but day-to-day usage requires none.
What exactly is a KPI Deep Dive?
It's a structured drill-down from a top-level metric like OEE or OTIF all the way to the root cause dimension. You start at the number, and SCIKIQ automatically slices it by plant, line, shift, supplier, product, and time period to show you exactly where the movement originated. No SQL, no analyst required.
Can I start with just one plant?
Yes, and that's exactly how most customers start. Pick one plant or one domain OEE, inventory, or quality prove the value in 8 weeks, then scale across plants and business units. The platform is built to grow with you without rework.
How is SCIKIQ different from a BI tool?
BI tools show you dashboards. SCIKIQ answers questions. The difference is the semantic layer SCIKIQ understands what OEE, OTIF, and yield mean in your business context, enforces governed definitions, and lets anyone ask follow-up questions in plain English without a developer building a new report each time.
Is our data secure on SCIKIQ?
SCIKIQ supports role-based access control, row-level security, and full data lineage. You control who sees what down to the plant, line, or SKU level. The platform is available both as a cloud deployment and on-premise depending on your compliance requirements.
Implementation · Go Live

Start with 1–2 plants or one domain, then scale.

Join leading manufacturers using SCIKIQ to unify their data, govern their KPIs, and get answers in minutes instead of days.

✓ Manufacturing Data Hub ✓ Governed KPIs ✓ Conversational Analytics
Week 1

Discover

Identify systems, KPIs, and priority use cases across your first plant or domain.

Weeks 2–4

Unify + Govern

Connect your sources and standardize KPI definitions with full lineage and auditability.

Weeks 4–8

Explain

Launch live dashboards, KPI deep dives, and conversational analytics for your teams.

Book a Demo →

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