A manufacturing enterprise of this scale has complex supply chain and logistics requirements. As customer expectations continued to evolve, the company’s logistics function faced challenges. Its operations were decentralized with no visibility across the supply chain, which led to increased transportation costs.
Their existing business application software was grappling with unstructured data and diverse input formats. Due to the mismatch between data in the company’s existing mainframe and its application software, their supply chain management team often had to resolve errors related to goods receipts and storage manually. When data errors related to sales orders occurred, the team had to manually verify and resolve these errors in the system as well.
All these time-consuming manual processes caused delays in the execution of crucial business applications and compromised the company’s operational efficiency.
What our client needed was a data-driven supply chain logistics software development solution that could automate the company’s processes, improve productivity, reduce costs, and scale up operations.
