What is IntelliFabric?

IntelliFabric is a managed analytics acceleration platform built natively on Microsoft Fabric by Folio3. It delivers pre-built industry KPIs, automated data pipelines, and a governed semantic model so enterprises go live with production analytics in 4–6 weeks instead of 3–6 months.

How long does IntelliFabric take to implement?

IntelliFabric goes live in 4–6 weeks from kickoff. Most clients see their first live KPIs within the first two weeks. This compares to 3–6 months for a typical custom BI implementation.

What industries does IntelliFabric support?

IntelliFabric supports Manufacturing, Retail & E-Commerce, Warehousing & Distribution, and Healthcare. Each module ships with industry-specific pre-built KPIs such as OEE for manufacturing, cart abandonment rate for retail, on-time delivery for warehousing, and bed utilization for healthcare.

Does IntelliFabric work with existing Power BI reports?

Yes. IntelliFabric is built natively on Power BI and Microsoft Fabric. If you already have Power BI reports, they can be migrated into the governed semantic layer so they benefit from the same single source of truth.

Is data secure with IntelliFabric?

All data stays within your Microsoft tenant. IntelliFabric never stores your data on external servers. The solution is deployed inside your Azure subscription, so your data governance, compliance policies, and security controls apply at all times.

Who built IntelliFabric?

IntelliFabric is built by Folio3 Software Inc., a Microsoft Azure Expert MSP and Microsoft Solutions Partner with 200+ engineers and 500+ global enterprise projects since 2005. Folio3 holds Microsoft Solutions Partner designations for Analytics and Data & AI.

What industries does IntelliFabric support?

IntelliFabric has pre-built analytics modules for manufacturing, retail and e-commerce, warehousing and distribution, and healthcare. Each module includes industry-specific KPIs, data models, and dashboard layouts.

How long does it take to implement IntelliFabric for manufacturing?

IntelliFabric for manufacturing typically goes live in 4–6 weeks from kickoff. Week 1–2 covers source system connectivity (ERP, MES, quality systems). Week 3–4 covers data validation and KPI configuration. Week 5–6 covers dashboard deployment and user training.

What KPIs are included in the manufacturing module?

The manufacturing module includes 40+ pre-built KPIs: OEE (Availability × Performance × Quality), throughput by line and shift, downtime by category, first-pass yield, scrap rate, MTBF, MTTR, planned vs actual output, and more.

What retail analytics KPIs does IntelliFabric include?

The retail module includes 50+ KPIs: revenue by channel, gross margin by category, customer lifetime value (CLV), cart abandonment rate, inventory turnover, sell-through rate, out-of-stock frequency, and promotional ROI.

← Solutions/Manufacturing

INDUSTRY SOLUTION

MANUFACTURING

From shop floor to top floor — in real time.

Your ERP knows production. Your MES knows downtime. Your quality system knows defects. But no one knows the full picture until it's Friday morning and the numbers are already wrong.

IntelliFabric connects every system in your plant into a single intelligence layer — OEE, throughput, quality, and cost, live and reconciled.

Book a Demo

See KPI Library

23%

Avg OEE improvement

60%

Reporting effort cut

4 wks

Typical go-live

app.intellifabric.com / manufacturing / plant-overview● LIVE

Plant OEE

87.4%

+3.2%

Throughput

1,168/hr

+12% vs plan

Active Downtime

4.2 hrs

−18% MTD

Quality Rate

99.1%

+0.4pp

Production Line Status

Line A — Assembly

91%

Line B — Machining

84%

Line C — Packaging

76%

Line D — Welding

94%

Active Alerts

Line C: Scheduled maintenance overdue — 2.4h delay

Line B: Throughput below target by 8% this shift

OEE Trend — Last 12 Months

JanJunDec

Scrap Rate1.2%

Labor Productivity94.3%

Inventory Turns11.4×

THE PROBLEM

What's breaking before IntelliFabric.

Every manufacturingoperation we talk to faces the same six problems. If these sound familiar, you're not alone.

OEE is a spreadsheet, not a dashboard

Shift supervisors manually compile OEE from three systems every morning. By the time the number is clean, the shift that caused it is already over.

IntelliFabric calculates OEE live from your MES and historian — updated every 15 minutes and visible to every supervisor before the shift ends.

Downtime causes are invisible until it's too late

Unplanned stoppages get logged — but not analyzed. Root cause review happens in the next week's meeting, not in the next five minutes.

Downtime events are tagged, categorized, and ranked by total production impact in real time — root cause is visible in minutes, not next week's meeting.

Quality escapes reach the customer

First-pass yield data sits in the quality system. It doesn't reach production managers until a customer complaint forces a full trace. By then, the cost is already real.

First-pass yield connects directly to production dashboards. Quality managers see defect trends by line and shift without waiting for a system export.

Production vs plan gaps go unnoticed

Planned vs actual output is compared at end of day or end of week. Mid-shift course correction is impossible because no one has the number.

Planned vs actual output is compared every 15 minutes — mid-shift corrections happen while there's still time to close the gap.

Inventory and production aren't connected

Purchasing doesn't know current WIP levels. Production doesn't see incoming material delays. Shortages are discovered at the line, not in planning.

WIP levels and incoming material delays surface in the same production view as scheduling — shortages become visible in planning, not at the line.

Leadership sees last month, not today

Executive reports are built manually from ERP extracts. The board sees a 30-day lag on the most important operational metrics in the business.

Executive dashboards pull directly from the live data model. Leadership sees today's numbers — not last month's report.

KPI LIBRARY

Every metric your team needs — pre-built.

These KPIs ship with IntelliFabric for Manufacturing. No custom build required — they arrive encoded with your data on day one.

Production

Overall Equipment Effectiveness (OEE)

Availability × Performance × Quality, by line and shift

Production Throughput

Units produced per hour vs planned rate

Planned vs Actual Output

Real-time gap between schedule and actuals

Cycle Time vs Standard

Actual vs engineered cycle time per operation

Downtime

Downtime by Category

Breakdown, changeover, shortage — with root cause tags

Machine Utilization

Productive vs idle vs planned downtime per asset

Quality

First-Pass Quality Rate

Defect-free units as a percentage of total produced

Scrap Rate by SKU

Waste units per run, compared to standard

Assets

Maintenance Cost per Asset

Corrective vs preventive maintenance ratio and cost

Energy Consumption per Unit

kWh/unit by line, shift, and SKU family

Labor & Cost

Labor Productivity

Units per labor-hour by cell and shift

Inventory Turns

Raw material, WIP, and finished goods turns by category

WHY INTELLIFABRIC

Built for Manufacturing.
Not adapted from something else.

Generic BI tools can be configured for any industry. IntelliFabric ships with manufacturing logic already encoded — data models, KPI definitions, and integration connectors specific to your operations.

OEE calculated live — not in the morning debrief

We encode A×P×Q with your exact shift definitions, downtime categories, and line hierarchies. OEE updates every 15 minutes from your MES and historian — not recalculated at shift end.

ERP, MES, and historian joined automatically

We've built the connectors between SAP, Rockwell FactoryTalk, and OSIsoft PI before. Your production, downtime, and quality data land in one intelligence layer — no custom ETL to maintain.

Plant, line, and machine — all three levels out of the box

Navigate from enterprise OEE summary to an individual machine in three clicks. The drill-down hierarchy ships with IntelliFabric — not as a follow-on customization project.

Role-based access by plant, shift, and function

Shift supervisors see their line. Plant managers see their facility. Executives see the consolidated view. Access is configured at go-live — not after your IT team raises a ticket.

INTEGRATIONS

Connects to every system you already run.

No rip-and-replace. IntelliFabric ingests from your existing stack using pre-built connectors and Microsoft Fabric data pipelines.

ERP

SAP ERP

ORC

Oracle Manufacturing

Infor M3

MES

AVEVA MES

Rockwell FactoryTalk

Siemens Opcenter

Data & Connectivity

OSIsoft PI

SQL Server

Excel / CSV

REST APIs

+ Any REST API, SFTP feed, or custom source — via Microsoft Fabric Data Factory connectors.

HOW IT WORKS

From kickoff to live in 4–6 weeks.

Week 1–2

Connect & Ingest

ERP and MES connectors configured
Historian and SCADA data ingested
Data quality baseline established
OneLake Lakehouse provisioned

Week 3

Model & Enrich

Unified production data model built
KPI definitions encoded (OEE, FPY, etc.)
Shift and line hierarchies configured
Business rules and exception logic set

Week 4–5

Build & Configure

Plant overview dashboard deployed
Line-level OEE dashboards live
Quality and downtime drill-downs active
Role-based access by plant / function

Week 6

Train & Go Live

Shift supervisor onboarding
Operations manager training
Executive dashboard sign-off
Handover and managed service begins

RESULTS

What clients actually achieve.

Average OEE improvement

Across manufacturing clients in Year 1 after go-live

Reporting effort cut

Daily production reports generated automatically, not manually

0 wks

Time to first live dashboard

ERP + MES + quality systems connected and reconciled

“

We went from a two-day reporting cycle to live dashboards in our first four weeks. Our ops team stopped emailing Excel files entirely. The shift was immediate.

Sarah Al-Rashid

VP Operations, Superior Farms

OTHER INDUSTRIES