Purpose-built for FIBC manufacturers — streamlining costing, planning, production, QC, inventory, and dispatch with AI copilots and intelligent automation.
Every order has different dimensions, GSMs, loop structures, fabric combinations, liners, stitching, and costing logic. Standard systems were never designed for this.
Orders planned at weekly batch level — the floor has no executable schedule.
Planned maintenance and breakdowns are invisible to planning — causing cascading disruptions.
Without consolidation intelligence, looms switch incompatible specs multiple times per shift — each costs 30–90 minutes.
Capacity problems are discovered when orders are already late, not 2–3 weeks ahead.
From first enquiry to final dispatch — every workflow connected, configurable, and intelligent.
AI-assisted enquiry creation with customer requirement management, version tracking, and approval workflows.
Automatic bag weight calculation with multi-layer costing, dynamic rate configuration, and cost simulation.
BOM-based planning across looms, cutting, lamination, stitching, and loops with capacity and shift planning.
Work order management with stage-wise tracking, machine allocation, and real-time production updates.
Raw material to WIP to finished goods tracking with batch tracking, barcode support, and auto-reservation.
Configurable QC workflows with sampling plans, tolerance configuration, and complete audit trail for compliance.
Dispatch planning with container optimisation, shipment tracking, and documentation automation.
Complete raw material to shipment traceability with production history and customer complaint analysis.
Purchase planning with vendor management, rate comparison, GRN management, and performance tracking.
Five specialised AI copilots embedded across your operations — reducing manual dependency and accelerating decisions at every stage.
Prepares quotations faster by automatically calculating bag weight, recommending raw material usage, and detecting costing anomalies.
Suggests production sequencing, detects material shortages, combines production runs intelligently, and highlights planning conflicts before they happen.
Monitors production exceptions and bottlenecks in real time — detecting delays, tracking variance, and predicting production risks before they materialise.
Suggests QC checklists, detects missing inspections, tracks rejection trends, and highlights recurring quality issues with full audit trail.
Tracks dispatch readiness, verifies order completeness, suggests container planning, and detects pending documentation before shipment.
The scheduling module replaces whiteboards and tribal knowledge with automatic job assignment, downtime tracking, run optimisation, and 4-week capacity forecasting.
Assigns every job to the optimal machine based on capability, queue depth, and changeover cost — automatically.
Planned and unplanned downtime feeds directly into the scheduler — no jobs assigned to unavailable machines.
Groups identical specs, minimises transition costs, and respects due dates — reducing changeover time by 20%+.
Predicts bottlenecks 2–4 weeks ahead — when planners still have options to act, not react.
Natural language interface for planners — "What happens if Loom 3 goes down for 2 days?" — with full audit trail.
Target KPIs measured against your baseline in the 4 weeks before go-live.
The decisions behind every module were made by people who understand the realities of circular looms, leno weave, GSM variation, and custom bag costing.
Every workflow, field, and formula was built for FIBC, woven sack, and technical textile operations — not retrofitted.
Five specialised copilots reduce manual dependency and decision delays across costing, planning, production, QC, and dispatch.
Configurable workflows, fields, costing formulas, QC rules, and approval systems — adapts to how your factory actually operates.
Respond to enquiries in hours, not days. The AI costing engine calculates bag weight and material usage automatically.
Every raw material batch tracked through production to the final shipment. Full audit trail for quality and compliance.
Automatic machine scheduling, changeover optimisation, and AI capacity forecasting replace weekly whiteboard sessions.
Purpose-built for manufacturers where every order is custom and no two bags are identical.
We configure first, train second — so your team goes live with confidence, not spreadsheets.
Each phase builds on the last. You see value from Day 1 — not after a 12-month implementation.
Foundation data required by all subsequent features. Enables manual scheduling with machine awareness and starts accumulating downtime history for OEE baselines.
Delivers the most visible operational improvement immediately. Drag-and-drop Gantt calendar with automatic assignment, validation, and changeover indicators.
Builds on the scheduling foundation. Requires 4–6 weeks of actual changeover data from Phase 2 to calibrate the matrix and produce meaningful sequence recommendations.
Requires at least 8 weeks of historical throughput data. Produces 4-week rolling forecasts with bottleneck alerts, confidence bands, and demand vs capacity gap analysis.
Sits on top of all prior features. Conversational interface for planners — weekly plan suggestions, priority order impact previews, what-if scenarios, and natural language queries.
Reduce manual dependency. Improve visibility. Optimise every loom, every shift, every order.