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Linear Squared introduces world’s first AI capacity planning software

Linear Squared introduces world’s first AI capacity planning software

Linear Squared, a Sri Lankan company offering machine learning and advanced data analytics solutions, has launched a fully-automated planning platform for apparel industry.

The company claims the solution, Capacity Squared, to be the world’s first AI-driven production planning software.

The process of capacity planning on a shopfloor has always been manual, which consumes more time and is prone to human errors and biases. In unforeseeable situations like delay of raw materials, missed targets, etc., sometimes even the well-planned schedule runs on low efficiency. Thus, the solution lies in the optimisation of the planning schedule without expanding the factory by adding new machinery or hiring labour.

With the new intelligent solution, apparel planners need to add order details into the system and the AI-powered solution will automatically calculate the efficiency estimates per line and will generate optimal sewing schedule.

Capacity Squared offers unparalleled production schedules with an allocation efficiency of 99.5% and also reduces the hours of planning task to under five minutes.

The use of technology will further enhance the plant capacity by 20%, thus making room for more orders.

According to sources, it will first be sold to Sri Lankan apparel exporters such as Brandix and MAS and will then scale all around the world. It can further be easily integrated into the ERP for the accuracy and consistency of inputs. It also allows for manual tweaking of automated schedules, if required.

Tested and validated under factory conditions for guaranteed results, Capacity Squared is developed with cutting edge technology, making it desirable for continuous usage across multiple factories and by multiple planners simultaneously.

Linear Squared specialises in integrating machine learning and artificial intelligence with domain expertise and cutting-edge technology.

(Source: Apparel Resources News Desk)

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