This October, KnitOne introduced upgrades and functional enhancements that make production management more precise, stable, and efficient than before. From refining style workflows and strengthening gauge control to improving yarn handling and costing accuracy, every update is built to enhance system reliability and ease of use.  

These enhancements help supervisors gain clearer floor visibility, give business owners better control over production data, and allow teams to manage daily operations with greater confidence and accuracy.  

Major Software Updates of October 2025  

Below is a description of the features added, improvements made, and control enabled in the October release of KnitOne- a tailored ERP for knitwear manufacturers.  

1. Style Module Enhancements  

New validations have been added in style creation and colorway setup, allowing dyeable colors to be added correctly. Upload errors in Word and Excel files have been fixed, and issues related to decommissioning and style duplication have been resolved. 

Impact of this refinement  

Brings stability to style creation and document uploads, ensuring that teams work with accurate data. It also helps in reducing the chances of repeated errors or data mismatches.  

2. Costing Playground Integration  

Previously, the “Add New Style” feature was only available in the Style Management module. It is now enabled in the Costing Module with the necessary fields such as yarn details, gauge/size, composition, etc.   

Impact of style-costing availability  
Allows merchandisers to create new styles and estimate costs more easily. This ensures smoother and accurate data flow between style creation and costing.  

3. Portal for FG Decommission   

Earlier, inactive or redundant Finished Goods records had to be manually cleared, often leading to mismatched data. To solve this, the FG Decommission Portal was introduced. Here, the records of finished goods are organized and simplified across warehouses.  

Impact of the FG decommission portal  

Ensures cleaner FG records, faster data access, and better alignment between warehouse and inventory control teams.  

4. Machine & Gauge Control  

In the previous version, multiple gauge values were assigned to a single machine, often causing confusion and mismatches during production planning. To resolve this, only one primary gauge per machine type is allowed. Additionally, a new field has been added to show whether a gauge is currently in use for production.  

Impact of machine-gauge update  

Brings better clarity to machine management, prevents incorrect gauge assignments, and helps production teams plan resources with greater precision.  

5. Yarn Handling Improvements  

In the yarn dyeing process, sometimes not all the yarn is dyed, and a portion is returned. To record this, the “Excess Returned Yarn” feature has been added.  For clearer tracking of yarn decommission under job work issues, the client’s name and order ID are now made to appear in the HAB details.  

Impact of yarn flow upgrades  

Tracks every minor yarn movement, ensures accurate yarn handling, and reduces confusion between dyeing, knitting, and warehouse teams.  

Bug Fixes & Improvements  

• Stabilized the GSR list and Proforma invoice creation for locked orders, corrected stock mismatches, and restored GSR button visibility.  

• Resolved PPC Overview load failures and improved data sync for accurate production tracking.  

• Refined multi-lot yarn receiving, validated excess returns, and fixed quantity and approval inconsistencies.  

• Added duplicate reference checks in inventory, corrected HAB visibility, and aligned item descriptions.  

• Strengthened FG (Finished Goods) Decommission validations, enhanced save logs, and fixed data reflection across roles and warehouses.  

• Corrected employee name display, fixed image loading, and stabilized add/edit functions.  

• Fixed the Knit Yarn Return form to stop errors after cancelling an Order ID and made the Order ID reset after each search.  

• Aligned machine–gauge logic, tightened UI validations, and improved cross-module data accuracy.  

These updates collectively enhance data accuracy, operational control, and overall system stability across key production modules. 

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