Still manual
Most of the order workflow still runs on spreadsheets and hand-offs — no single source of truth.
The agentic-AI solution
for garment production.
Four AI agents work across the garment order lifecycle — each reads your real data, acts within its lane, and leaves the final call to a person. Standardized on 35 business steps, 8 department layers, 14 AI modules and 1 source of truth.
The challenge
The deepest pain wasn't manual work —
it was the missing big picture.
No one could see the whole order, and no one knew who was truly handling each step. Data lived in silos; risk surfaced too late.
Report delay
Production status arrives hours late, so shortages and readiness gaps surface only when costly to fix.
Knowledge loss
When experienced staff leave, their judgment leaves with them — nothing is captured in the system.
The swatch book · 4 agents
Four specialist coworkers, in depth.
Each agent reads your real data, acts within its lane, and hands the final decision to a person.
Reasoning · P2
Planning Assistant
Reads capacity & order book. Acts by suggesting line allocation and flagging plan deviations early. You decide the final schedule.
// output stability+10–20%
Vision · P3
AI Vision on the floor
Reads camera feeds. Acts by counting hourly output and detecting sewing defects (KCS) live. You decide the line response.
// reporting delay0 hrs real-time
Perception · P1
OCR & Validation
Reads PO, Invoice, Packing List & BL across 8 document types. Acts by cross-checking and warning on mismatch. You decide on exceptions.
// per document set5 sec
Reasoning · P2
Warehouse & Sourcing
Reads stock, BOM & incoming: Demand = BOM × Plan − Stock − Incoming. Acts with lead-time risk alerts. You decide what to buy.
// manual review time−80%
The architecture
One backbone,
standardized.
35
Standardized business steps
8
Department layers
14
AI modules
1
Source of truth
The loom · booking → delivery
One continuous fabric,
from booking to delivery.
Each stage is a thread; each agent passes data over and under the next. Woven together, the whole order holds as one cloth.
Pass 01BookingPO & order intake
Pass 02DocumentsOCR tech packs & trade docs
Pass 03Planningline allocation by capacity
Pass 04Sourcingmaterial demand & lead time
Pass 05Productionlive output & balancing
Pass 06Qualityvision defect & SMV check
Pass 07Trade docsBL · Invoice · PL reconcile
Pass 08Deliveryon-time, fully traceable
The tech pack · measured
Measured on the floor,
not on a slide.
Nha Be Garment (NBC): toward the autonomous factory.
An autonomous-factory roadmap standardizing 118 end-to-end steps, with every decision still in human hands.
// end-to-end steps standardized118
// output stability+10–20%
// industrial-engineering (IE) cost−50–70%
Trade-doc digitization
An export-import firm automated its document flow — OCR reads a full document set in 5 seconds instead of hours, reconciling BL, Invoice and Packing List with real-time alerts.
// per document set5 sec
// document types8
// manual doc review−80%
Threads onto any loom
Plugs onto the ERP you already run via API/connector — no rip-and-replace.
SAPOracleOdooLeanERPEStyle
The roadmap
Three phases,
one reusable blueprint.
We deploy in phases on top of your existing ERP. A proof of concept lands in just 4 weeks.
Foundation · Connect
Connect to your ERP, unify the data backbone and stand up one source of truth.
Scale · Deploy
Deploy the 4 agents across the order lifecycle, scaling from pilot lines to the floor.
Compound
Compound the gains into a reusable blueprint that extends to new plants and verticals.
// Estimated figures — actual results depend on your operation. We commit to a 4-week POC to verify.
Want this blueprint for your plant?
We deploy in phases on top of your existing ERP — transparent cost, real-world roadmap, measurable ROI.