Case Study

UST helped a global apparel manufacturer modernize demand planning processes with UST Flex iOM

After the Covid-19 pandemic exposed outdated inventory allocation processes as a contributing factor to its supply chain struggles, the company implemented UST Flex iOM to overhaul its available-to-promise processes.


Founded more than 150 years ago as a dry goods business, this company has evolved to become one of the most iconic apparel brands in the world. With multiple clothing categories and approximately 450 stores around the globe, the company generates well over $5 billion annually.


Like so many businesses, our client struggled with global supply chain issues during the Covid-19 pandemic. As company leaders analyzed root-cause issues and potential workarounds to resolve supply and delivery challenges, demand planning line of business leaders realized that time-consuming, outdated, manual supply allocation processes were exacerbating the external pandemic-related supply problems. The company realized it needed to modernize and automate available-to-promise (ATP) processes.


UST Flex iOM automated demand and inventory planning with data-driven processes

UST integrated UST Flex iOM, an SAP-based intelligent order management solution, with the apparel company’s existing SAP supply chain and logistics systems. By augmenting its ATP processes with UST Flex iOM’s sophisticated, data-driven order confirmation methodologies, the company can now utilize:


Modernized ATP processes and streamlined inventory management

Now, the apparel company’s demand planning and sales operations teams have the automated tools they need to understand supply and demand, so they can optimize product allocations to: