{"id":66264,"date":"2023-11-07T12:30:29","date_gmt":"2023-11-07T11:30:29","guid":{"rendered":"https:\/\/intellias.com\/?p=66264"},"modified":"2024-07-26T17:04:43","modified_gmt":"2024-07-26T15:04:43","slug":"enhancing-supply-chain-resilience-through-automation-an-order-cancellation-solution","status":"publish","type":"post","link":"https:\/\/intellias.com\/enhancing-supply-chain-resilience-through-automation\/","title":{"rendered":"Enhancing Supply Chain Resilience Through Automation: An Order Cancellation Solution"},"content":{"rendered":"

Project snapshot<\/h2>\n

The automated order cancellation solution for the wholesale and supply chain line of business allowed our client\u2019s multinational corporation to reduce processing time tenfold and minimize human error, thus achieving six-figure savings (in USD), optimizing processes and resource use, and boosting customer satisfaction.<\/p>\n

Business \u0441hallenge<\/h2>\n

Our client is a leading multi-brand technology solutions business providing integrated information technology solutions and services to more than 250,000 business, government, education, and healthcare customers globally. As with most enterprise software, a warehouse management system is a great tool as long as it works efficiently. But it becomes counterproductive if it\u2019s too complex to operate or requires more effort for actual management instead of fulfilling orders.<\/p>\n

Our client critically needed to increase the efficiency of their order management system<\/a>. Due to the need for fast processing of canceled orders across geographies and time zones, cancelling orders had become a lengthy administrative burden. With dozens of cancellation tickets coming in every minute, operators could not manage their timely processing manually in the mainframe application on top of processing every ticket in the internal enterprise resource planning (ERP) system<\/a>.<\/p>\n

Delayed manual processing of canceled orders created more pressure on operators, raised total system costs by making inventory hard to predict, increased resource\/insurance expenses, and led to supply chain complications.<\/p>\n

\"Enhancing<\/p>\n

Solution delivered<\/h2>\n

With a project duration of two months, the Intellias team assisted the client\u2019s in-house experts by providing:<\/p>\n