Steel structures, lifting equipment and production space in a real industrial factory; editorial industry illustration

AI Native Factory

Manufacturing

Quote with confidence. Know the cost, delivery and trade-offs.

From drawings, process routes and quotes in discrete manufacturing to batches, quality and demand in process manufacturing, connect purchasing, capacity and delivery around the same business context.

The connected value chain

Manufacturing

One business event. Three ways to work.

One enquiry · Intelligent quoting

People connect each step

AI accelerates individual tasks

Shared evidence, coordinated decisions, continuous feedback

Business event

Enquiry & drawing
Retains handoff evidence
Process review
Retains handoff evidence
Material & subcontract enquiry
Retains handoff evidence
Capacity & delivery plan
Participates in review
Quote options
Participates in review
Material, hours & quality records
Participates in review

COOL AI · Agent OSSame event

Drawing version / batch / cost assumptions

Revised drawing · changed process requirements

Shared case evidence → coordinated options → confirmation → feedback

01Original timing: recheck process & supply
02Split delivery: weigh arrangements & risks
03Revised timing: explain capacity & supply limits

Awaiting human confirmation · No automatic approval

01Change received
02Impact assembled
03Awaiting human confirmation
04Delivery feedback

Awaiting human confirmation

Quote owner confirms price & timing

05Quote owner

Receives: Available windows & delivery limits
Produces: Cost, timing & risk rationale
Confirmed by: Quote owner confirms price & timing

Customer updates drawing

Traditional

Sales relays the drawing; process checks, purchasing requotes and production checks capacity. The owner consolidates cost and timing.

Point AI

Drawing, route search and cost tools return separate results. The owner reconciles versions, materials and capacity.

AI Native · COOL AI

The revision links process, materials and capacity. Three delivery options retain cost, timing and risk evidence, awaiting confirmation.

Actual hours, materials and quality variances → original quote → reviewed corrections to the next estimate

Illustrative business scenario

Discrete manufacturing

Components, equipment and made-to-order

Process manufacturing

Food & beverage, chemicals and materials

Business scenarios

Quote with context. Keep production connected.

Intelligent quoting

Before

A quote shapes cost and delivery, but its evidence is scattered across sales, engineering, purchasing and production.

Sales, engineering, purchasing and production find drawings and versions separately, repeatedly chasing missing details.
Teams manually combine material and subcontractor prices, labour and capacity; cost and delivery are hard to assess together.
When quantity, drawings or timing change, costs and plans must be checked again.

With COOL AI

Compare process, cost and delivery options around one enquiry; confirmed quote terms pass to purchasing and production.

Enquiry drawings, quantity and timing share one quote context linked to process, material and subcontractor prices, labour and capacity.
Cost, delivery and open terms sit together for option comparison; the business owner confirms prices and commitments.
After delivery, actual consumption is compared with estimates; confirmed variances inform the next quote.

What you get

Traceable quote preparation pack
Cost and delivery option comparison
Missing information, assumptions and terms needing approval
Quote-to-actual variance review

Check drawing versions, price dates, labour and capacity assumptions. Owners confirm price, delivery and exceptions. After delivery, compare actual consumption with estimates; confirmed corrections inform the next quote.

Decision evidence for one quoteIllustration

Drawings & batch: Align the drawing version, quantity and requested delivery.
Materials & subcontracting: Link supplier prices, dates and applicable terms.
Process & capacity: State the process route, labour estimate and capacity assumptions.
Owner confirmation: The owner confirms price, timing and exceptions.

Asset health & spare parts

Before

Faults rely on individual judgment; maintenance and spare-part purchasing are disconnected.

Vibration, temperature and repair records sit in separate systems; issues surface after a stoppage.
Spares are stocked by habit; the part you need is often missing.

With COOL AI

Combine sensor trends with repair history, then check stock and procurement lead times to plan a maintenance window.

Asset trends are compared with past failures to flag equipment early.
Maintenance windows are planned with the schedule and spare stock.
Repair know-how becomes searchable guidance.

What you get

Asset-health alert
Maintenance plan and spare replenishment suggestion

Alerts reference trend periods, fault records and spare delivery constraints.

Asset-health summaryIllustration

Asset: Line 2 spindle motor (illustration)
Trend: Vibration rising for three shifts
Related records: Two bearing replacements on the same model
Suggested check: Bearing lubrication and alignment; confirm spare stock

Health, safety & environment

Before

Inspections, permits and near misses are logged separately, obscuring related risks.

Inspections, permits and near-misses are logged separately, so risks are not seen together.
PPE and corrective actions depend on manual spot checks.

With COOL AI

Relate site images, inspections and permit conditions to identify PPE, work and environmental risks and organize corrective work.

Risks from several sources for one area merge into one list.
Related near-misses and conditions are surfaced before a permit is issued.
Corrections are tracked through reinspection.

What you get

Multi-source risk list
Corrective-action and reinspection record

Reference risk locations, original images and applicable permit conditions.

Area risk listIllustration

Work at height: Permit missing harness check (illustration)
PPE: Goggle reminder for paint area
Near-miss: Two similar forklift-aisle reports
Correction: Re-mark lane and reinspect; HSE lead owns

Energy & carbon management

Before

Equipment uses fixed operating settings despite changing loads; savings are difficult to verify.

Energy reports arrive month-end and do not show which asset or period used more.
Savings are hard to verify on a consistent basis.

With COOL AI

Compare operating combinations across loads, with energy, output and carbon-accounting conditions.

Energy is viewed by line, shift and load.
Several operating options are compared side by side.
Results are verified on the same basis and feed carbon reporting.

What you get

Energy operating-plan comparison
Energy verification and carbon-report inputs

Compare like operating conditions and retain measurement periods and carbon-factor sources.

Operating-plan comparisonIllustration

Load condition: Night shift output below day shift (illustration)
Assets: 3 compressors, 2 cooling towers
Adjustment: Run one fewer compressor at night
To verify: Pressure stability and like-for-like energy

Production operations & scheduling

Before

Rush orders, missing materials and downtime trigger repeated checks across teams.

Rush orders, shortages or stoppages are handled by phone and spreadsheets.
Sales cannot see how changes affect delivery dates.

With COOL AI

Use order priorities, capacity and material arrivals to compare scheduling changes and delivery impacts.

Orders, capacity and materials are viewed together with adjustment options.
Each option lists affected orders and dates.
Once chosen, production, purchasing and sales see the same plan.

What you get

Scheduling adjustment suggestion
Delivery-impact list

Check bottleneck operations, material dates and equipment availability.

Delivery-impact listIllustration

Change: Rush order enters Line 3 (illustration)
Affected: Two orders move one day
Materials: Aluminium in stock; packaging must arrive early
Notify: Sales updates customer dates

Supply-chain resilience

Before

Teams manually trace which orders a supplier delay affects.

Supplier delays arrive late and affected orders are traced by hand.
Alternatives and transfers are found at the last minute.

With COOL AI

Trace material, stock and order relationships to find affected batches and compare alternative sourcing and stock options.

Delays link directly to affected orders.
Alternative sources and stock transfers are listed together.

What you get

Affected-order list
Alternative sourcing and stock suggestions

Retain supplier commitments, substitution conditions and lead times.

Affected ordersIllustration

Delayed item: Control board, ~5 days late (illustration)
Orders: 3 orders, 1 urgent
Options: Alternate supplier / transfer from another plant
Decides: Purchasing manager and planning lead

Quality deviation & traceability

Before

Quality exceptions are difficult to match with process, material and batch records.

Test data and process records are separate; root causes take cross-team meetings.
Disposition and release are hard to trace.

With COOL AI

Connect inspection and process records to scope deviations and outline investigation and disposition paths.

Out-of-spec results link to batch, asset and process parameters.
Investigation order and containment scope are suggested.
Retesting and release keep a full record.

What you get

Deviation alert and investigation
Containment, retest and disposition list

Check samples, test standards and batch links.

Deviation investigationIllustration

Batch: B-0412 (illustration)
Deviation: Hole diameter near upper limit
Linked: Tool change and temperature swing on same shift
Disposition: Hold batch; release after sample retest

Shift handovers & workforce support

Before

Handover records vary; new staff struggle to find maintenance and exception knowledge.

Handovers rely on talk and notes; key items get missed.
New staff cannot find role-specific know-how.

With COOL AI

Prepare handovers covering open work, equipment state and safety priorities, with role-relevant knowledge.

Each shift gets exceptions, open work and cautions.
Role-based Q&A and training points are available.

What you get

Shift-handover priorities
Role knowledge and training plan

Show source records, update times and applicable procedures.

Shift-handover prioritiesIllustration

Open: Die change on M4 not finished (illustration)
Exception: One coolant-level alarm
Caution: First-piece check for new material batch
Owner: Assigned by incoming lead

Start with your business question.

Quote with confidence. Know the cost, delivery and trade-offs.