Coats Digital has announced that Makalot Industrial Co. Ltd, a top garment manufacturer in Taiwan, has adopted its GSDCost solution to implement a scientifically-based method-time-cost standard.
This standard will allow the company to achieve precise production goals, optimise production efficiencies, reduce costs, and improve its on-time delivery performance. Ultimately, it will help Makalot capitalise on a unified global production strategy to further its ambitious global expansion plans.
It’s pertinent to mention here that Makalot is an OEM/ODM garment manufacturer that was founded in 1990. It employs more than 33,000 people across its 33 factories in Indonesia, Vietnam, Cambodia, China, and the Philippines. The company has an annual turnover of US $ 10 billion and is a strategic partner for many retailers across the US, Europe, Japan, Taiwan, and China, including H&M, GAP, Target, Kohl’s, Walmart, and Fast Retailing.
Angela, IE Manager at Makalot Industrial Co. Ltd, stated that the international apparel industry is highly competitive, and as the company has ambitious global expansion plans, it required a digital solution that could significantly optimize its global operating model in a unified way.
“Coats Digital’s GSDCost provides an efficient, accurate, and world-renowned solution that utilises scientifically-proven methods to assess production goals realistically. This unified approach to controlling production costs and time will enable Makalot to offer advanced customization and quickly adjust orders, significantly enhancing customer satisfaction and loyalty,” mentioned Angela.
Liv Zhang, Sales Director at Coats Digital, said that they are delighted that a prestigious and award-winning garment manufacturer has chosen GSDCost to advance its global expansion program. “Coats Digital looks forward to working closely with Makalot to help it develop smart and lean production processes that ensure it remains ahead of its competitors while future-proofing its expanding global enterprise successfully,” stated Liv.
