System Architecture · End-to-End Flow

How PRISM Works

Every Sales Order triggers a chain of intelligence across all 11 departments — from quotation to delivery, PRISM connects every step into one live picture for management.

Sales
Design
Planning
Purchasing & Store
LRTM Production
Quality
Logistics
Support Depts
Management AI
📄
Sales Order Received
Customer confirms order · SO number issued · Product, quantity, delivery date locked in · This single document starts everything.
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📋
Sales Department
SO Entry · Quotation · Revenue Pipeline

Sales enters the SO into PRISM — customer, product type, value (RM), expected delivery date, and department assigned. Quotations are tracked for conversion rate. PRISM immediately calculates the revenue pipeline and fires an alarm to Purchasing about upcoming material needs.

Data entered
SO number & value (RM)
Customer & product type
Expected delivery date
Quotation win/loss status
AI outputs
Revenue pipeline dashboard
Quotation conversion rate %
🔔 Purchasing material alarm
AI forecasts monthly revenue vs target
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✏️
Design Department
Drawing · Production Data Pack · Material List

Before the factory floor can start, Design must produce the technical drawing (DWG), Production Data Pack (PDP), and Material List (ML) for each SO. PRISM tracks whether drawings are completed before the SO start date — if late, an alert fires immediately.

Data entered
Drawing number & SO reference
Drawing completion date
Customer approval status
Released to production? (Y/N)
AI outputs
Drawing status dashboard
Design turnaround time
🔔 Alert: SO starts in <3 days, no drawing
AI flags production-blocked SOs
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📅
Production Planning
Schedule · Mould Assignment · Workforce Allocation

With drawing in hand, Production Planning creates the master schedule — which SO runs on which mould, which workers are assigned, and what the target completion date is. This is the timetable that coordinates the entire factory floor. PRISM tracks plan vs actual daily.

Data entered
SO schedule: start & end date
Mould number assigned
Workers & shift allocated
Target units per day
AI outputs
Production schedule dashboard
Mould utilisation rate
🔔 Alert: schedule conflict detected
AI optimises mould & workforce allocation
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📦
Purchasing & Store
PO Raising · Material Readiness · Cash Flow Check

The Sales material alarm triggers Purchasing to check stock. Store confirms what's available. If there's a shortfall, Purchasing raises a Purchase Order — but only after Accounts confirms the company has sufficient cash. PRISM tracks whether materials arrive before the SO start date.

Data entered
PO number, supplier, material
Expected delivery date
Stock levels vs SO requirement
Finance cash readiness check
AI outputs
PO tracker & delivery status
Material readiness checklist
🔔 Alert: PO late vs SO start date
🔔 Alert: cash insufficient for PO
AI checks cash flow before every PO
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⚙️
LRTM — Production Floor
Resin Transfer Moulding · Daily Attainment · Labour Cost

This is where the product is physically made. Workers use resin, moulds, and the laminating process to build the FRP product. Daily production data is entered — units produced, resin used (KG), mould condition, and operator hours. PRISM maps every cost back to the SO automatically.

Data entered daily
Units planned vs produced
Resin + catalyst qty (KG)
Operator hours & overtime
Mould condition & defect log
AI outputs
Production attainment %
Labour & material cost per SO
Mould utilisation rate
🔔 Alert: defect rate >3% threshold
🔔 Alert: mould needs service
AI calculates real cost per SO vs estimate
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🔍
Quality Control
Inspection · Defect Rate · First-Pass Yield

Every finished unit passes through QC before leaving the factory. Inspectors record defect rate, rejection rate, first-pass yield, and any NCR (Non-Conformance Report) or customer complaints. PRISM aggregates these into quality KPIs and fires alerts when thresholds are breached.

Data entered
Defect rate % per batch
Rejection qty & reason
First-pass yield %
NCR / CAR case log
Customer complaint records
AI outputs
Quality KPI dashboard
Defect trend analysis
🔔 Alert: defect rate exceeds 3%
AI links defect spikes to specific operators or moulds
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🚚
Logistics
Delivery · On-Time Rate · Order Fulfilment

Once QC clears the product, Logistics arranges delivery to the customer. The actual delivery date is logged against the SO promised date. PRISM calculates on-time delivery rate, order fulfilment %, and flags any late shipments that could affect customer relationships.

Data entered
Actual delivery date per SO
Order fulfilment confirmation
Return / complaint tracking
AI outputs
On-time delivery rate %
Fulfilment performance report
🔔 Alert: delivery late vs SO promise
AI tracks end-to-end lead time per SO
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🔧
Support Departments
Maintenance · HR · Accounts — Running in Parallel

Three departments run continuously alongside production — not in sequence, but in parallel. Each feeds PRISM independently.

🔧 Maintenance
Machine downtime hours
Asset health status
🔔 Alert: mould / machine needs service before next run
👥 HR
Attendance & absenteeism rate
Staff turnover & training hours
Labour productivity per worker
💰 Accounts
Customer AR aging (30/60/90d)
Monthly cash in vs cash out
🔔 Alert: customer overdue >60 days
🔔 Alert: 3-month cash shortfall projected
AI cross-references labour cost, downtime & cash into SO profitability
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PRISM AI Engine
Management Intelligence Output
All 11 departments processed → one real-time picture for leadership
📊
Live KPI Scorecard
All 6 KPI pillars — Financial, Production, Quality, Delivery, Employee, Safety — in one dashboard.
💹
Project Profitability
Every SO ranked by margin. Low-margin jobs flagged. Actual vs estimated cost per job visible instantly.
🔔
Early Warning Alerts
Proactive alerts before problems escalate — quality, delivery, finance, and safety thresholds watched 24/7.
📈
Cash Flow Forecast
3-month forward cash projection. Overdue customer flags. Finance readiness check before every PO.
📋
Automated Reports
Weekly management dashboards generated automatically — no manual compilation, no missed data.
🧠
Decision Support
AI pricing suggestions, cost control opportunities, and project prioritisation by margin and risk.
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