The client came to us with an ambitious goal in mind- to set up their global supply chain bringing together hundreds of plants and thousands of suppliers. The client’s demand/supply process was very decentralized and needed improvement at the plant level due to the lack of standardized processes.
The business analysts, technical programming experts and data engineers at CGS leveraged SAP business intelligence tools, machine learning technology and applications of supply chain implementation engagement. We integrated the configurable analytics and dashboard applications enabling continuous monitoring of key analytics which enabled faster decision making and visualization of supply chain network. Thus, empowering planners to see real-world supply chain networks in digital form.
CGS implemented a modern cloud-based platform for the client’s supply chain planning that incorporated transport management and extended warehouse features for process improvement. We also enhanced the planning algorithms to support increased automation (e.g. share allocations under constrained supply) and efficient product life cycle management capabilities. This included phase-in and phase-out modelling for product launches while managing inventory obsolescence.
Our innovative approach to incorporate key business intelligence and machine learning capabilities in our client’s digital strategy and sets us apart from competitors. Employing SAP’s cloud-based data-centric applications, new ways to evaluate purchasing, inventory, physical warehousing, asset use, and supply chain processes were now in place and reality. The use of SAP’s cloud-based modular approach turned out to be the perfect solution for resolving our client’s warehousing and supply chain challenge. After we engineered our client’s new cloud-based modular system to efficiently apply distributed order management (Coupled supply and demand planning), many noticeable impacts were observed including increasing outbound processes to meet shipping targets on time, every time and finished goods delivery time was reduced by over 60%.
Our client now has tools that feature demand sensing and forecasting, inventory and sales optimization and real-time response management. Our innovative Supply Chain solution also includes machine learning capabilities to help gain accurate replenishment details, achieve improved supply chain visibility, reduce time in planning phases, and produce reliable responses to supply & demand changes. This enabled our client to align business objectives with operations and reach sustained growth and better profit margins, with the additional benefit of improved customer service, order fulfilment within a new digitalized environment.