Smart Transformation, Digital Upgrading and Connectivity Solutions for the Textile Industry
Aligned with the current pace of smart transformation, digital upgrading and connectivity, our five-piece toolkit — warp breakage detection + outgoing inspection + MES + the Zhisuo AI voice assistant + 10 languages — is implemented in phases, from lightweight to comprehensive and from single points to a platform. It resolves the three challenges enterprises face — hesitation, lack of know-how and budget constraints — and delivers a replicable, verifiable digital upgrading path with clear ROI.
Five Core Processes + Plastic Woven · Full-Chain Industry Scenarios
Each scenario clearly indicates which Device / Edge / Cloud / Intelligence layers are used. All quantified benefits are estimates based on typical scenarios; actual results depend on on-site operating conditions.
Pain points:Six processes from blowing to winding rely on manual output logging, machine status is opaque, and semi-finished quality is hard to trace.
Solution:Cloud · Cotton Spinning MES
Pain points: Warp breakages are watched manually, loom operators tend few looms, stoppage losses are high, and output is counted from hand-written meter readings.
Solution:Device · Warp Breakage Detection DeviceEdge · Edge GatewayCloud · Weaving MES
Pain points: Color matching relies on experience, color-difference rework is frequent, dye costs are high, and recipe traceability is difficult.
Solution:Cloud · Printing and Dyeing MESIntelligence · 天机 (Tianji) Dye Price Forecasting
Pain points:Patterns, markers and material calculation rely on experience; piece-rate for cutting and sewing is cumbersome; delivery dates and barcode traceability are disconnected.
Solution:Cloud · Apparel MESDevice · Outgoing Inspection Terminal
Pain points: Sets come in many styles and small batches; cutting, sewing, down filling and packaging are hard to control end to end, and incomplete kitting causes shipping errors.
Solution:Cloud · Home Textile MESDevice · Outgoing Inspection Terminal
Pain points: Data does not flow between plants, capacity is opaque, raw material buying relies on guesswork, and industry trends are hard to read.
Solution:Cloud · LoomOS PlatformIntelligence · 天机 (Tianji) Forecasting
🤖 Built-In Textile-Native AI LLM — Run Your Factory by Voice, Zero Training Required
The No. 1 reason digitalization fails is that frontline workers cannot use the systems. The Zhisuo AI voice assistant solves this completely: voice queries in 10 languages, automatic reports and root cause analysis. If workers can speak, they can use it — and managers can run the factory from their phones while traveling.
Voice Queries in 10 Languages
Chinese, English, Japanese, Kazakh, Vietnamese, Malay, Indonesian, Arabic, French, Russian
AI Top 3 anomaly root-cause analysis
Automatically correlates multi-dimensional data and returns the Top 3 causes, so problems can be pinpointed without relying on veteran experts
Automated AI Report Generation
One spoken sentence produces a report; Excel files are auto-generated and distributed, so statisticians no longer work late building spreadsheets
Strict read-only permission design
The AI is query-only and cannot modify data, keeping data safe and controllable; sensitive fields are isolated by account permissions
Three Phases from Lightweight to Comprehensive: Results in Phase 1 Within 1.5–2 Months
Instead of oversized, all-in-one, million-yuan projects, we start at single points with clear ROI and advance step by step, with visible results in every phase.
Start with the light-beam warp breakage detection device, where ROI is clearest:
Once the hardware is running, deploy MES to build the production data closed loop:
With data accumulated, unlock the AI upgrade — from digitalized to intelligent:
Fully aligned with smart transformation and digital upgrading policies at all levels and with customer audit requirements:
Native 10-Language Support + Arabic RTL · One Platform for Domestic and Overseas Customers
As textile capacity shifts to Southeast Asia, Central Asia and Russian-speaking regions, the Zhisuo solution natively supports 10 languages with no secondary development — one system deployed across domestic and overseas plants simultaneously.
RTL support
Related Product Matrix
Single-point hardware entry with 1.5–2 month payback; a 100-loom mill saves RMB 800,000–1,200,000 per year.
Five core scenarios — cotton spinning / weaving / dyeing & finishing / garment / home textile — with pluggable modules, go live in 2–3 months.
Permanent five-state SN locking, ten inspection items, QR code label printing, and UID cross-device traceability.
A unified data foundation for the group's three upstream and downstream processes, with cross-plant AI assistant queries.