WEAVEI — WEAVING INTELLIGENCE

Your Loom Data,
Brought to Life

Production intelligence for weaving mills. Real-time signals at every level — from the operator on the floor to the owner reviewing from anywhere.

PILOT PROGRAM — ACCEPTING PARTNERS

Three Levels of Intelligence

Each builds on the one before.

Level 1

Floor Intelligence

For: Operator, Supervisor, Maintenance

What it does: Real-time loom monitoring, stop classification, beam countdown, and shift reports — powered by your existing IoT infrastructure.

IoT Only

No ERP integration required. Works with your existing loom sensors and data collectors from day one.

Dashboards

  • Operator: Machines ranked by stop duration
  • Supervisor: Pattern detection across shifts
  • Maintenance: Inspection queue by priority
Result: Recover 40–80 hours of lost production per month from pattern detection alone.
Level 2

Financial Intelligence

For: + General Manager

What it adds: SAP/ERP integration, CPLD per loom, rupee impact on every alert, fabric profitability ranking, and operator performance scoring.

IoT + SAP

Every machine signal now carries a rupee value. Alerts are ranked by financial cost, not just stop duration.

Key Capabilities

  • CPLD (Cost Per Loom Day) tracking
  • Rupee impact on every alert
  • Fabric profitability ranking
  • Operator performance scoring
"Every machine signal now carries a rupee value. Alerts ranked by financial cost, not just stop duration."
Result: See which customers, fabrics, and operators are above or below break-even — every shift.
Level 3

Business Intelligence

For: + CFO, Owner/MD

What it adds: AI feedback loop, pricing signals, reallocation scenarios, supplier scorecard, training ROI, and factory health score.

IoT + SAP + AI

The AI layer connects production signals to strategic decisions — pricing, allocation, and supplier management.

Key Capabilities

  • AI-driven pricing signals
  • Reallocation scenario modelling
  • Supplier scorecard
  • Training ROI measurement
  • Factory health score
"The AI sharpens every month. Month 12 is measurably sharper than Month 1."
Result: Strategic decisions backed by production data, not intuition.

Five Layers of Architecture

Each builds on the one before.

1

Data Engineering

Clean, normalise, and structure raw IoT signals into a unified data layer ready for analysis.

2

Contextual Baselines

Establish per-loom, per-fabric, per-operator baselines that adapt over time as conditions change.

3

Anomaly Detection

Flag deviations from baseline in real time — before they cascade into quality or efficiency issues.

4

Root Cause Classification

Automatically classify anomalies by cause — mechanical, material, operator, or environmental — so action is immediate.

5

Feedback Loop

Every correction, confirmation, and outcome feeds back into the model. The system learns from your factory, not from theory.

No Hardware from CountAI

WeaveI runs on your existing IoT infrastructure and ERP system. No cameras. No edge compute. Pure software intelligence.

Join the WeaveI Pilot Program

We're partnering with select weaving mills to deploy WeaveI. If you run 50+ looms and want production intelligence, we want to talk.