ERP for Textile Manufacturers. Run Your Factory Like a Well-Oiled Machine.

Yes, and that is the point of a textile-specific system. Each stage has its own machines, cycle times and constraints, so most mills end up running several disconnected tools with no unified production view. A single system carries an order across every stage, which is what makes cross-stage bottlenecks visible before they cause a late shipment.

Availability, performance and quality losses are recorded separately at machine level across looms, dyeing machines and finishing lines, rather than as a single blended shed average. That separation matters because OEE multiplies its three factors, so the largest single deficit yields the largest recovery — and a shed average of 70 percent can conceal four healthy machines and one failing one.

Because in most mills shade is checked after the fabric is already produced, and the dye lot is not carried on the inventory record. When measured shade coordinates live on each roll, an out-of-tolerance lot is flagged at the dyeing stage and can be re-sorted or re-dyed, instead of surfacing as a rejected shipment weeks later.

Yes. Consolidated reporting across plants is standard, with capacity, work in progress and inventory visible per site and in aggregate. This matters most when the same order is split across sites, since that is where manual reconciliation errors normally accumulate.

A typical single-site mill goes from kickoff to go-live in six to eight weeks, covering discovery, configuration, data migration, training and a supervised launch. Multi-site deployments take longer, and the schedule is usually driven by the quality of existing master data rather than by the software itself.