Supply Chain Analytics Services
Enhancing supply chain operation and inventory management
Build a Resilient Supply Chain and Improve Planning Accuracy
One of the cardinal prerequisites for an efficient supply chain management process is to have real-time information & intelligence. It allows business operations with better risk understanding and the flexibility to scale up operations to ensure higher order fulfillment through supply chain forecasting. Sigmoid’s supply chain analytics allows planning teams to navigate blind spots and accurately predict the demand in advance at different time intervals by accounting for the various influences that have a direct bearing on product demand.
With the help of advanced supply chain data analytics solutions, you can optimize your procurement spending, manage resources and ensure supplier relationships.
What we do
Our supply chain analytics offering can help enterprises set up predictive and prescriptive analytics decision-making platforms such as a Supply Chain Control Tower, that enables a real-time, integrated, and omniscient supply chain through end-to-end visibility.
Frequently Asked Questions
Given the massive amounts of supply chain data, relying on manual processes for managing the supply chain can be complex. Supply chain analytics refers to the processes of gaining valuable insights and analysing the large amounts of data associated with the distribution, procurement, and processing.
Effective supply chain analytics solutions have helped organizations in planning sourcing, manufacturing, delivering—reducing inefficiencies and improving productivity across processes.
Supply chain analytics has the potential to gather data from across different applications and infrastructures to improve decision-making across the strategic, tactical, and operational processes. Supply chain analytics helps synchronize supply chain planning and operations by improving real-time visibility into all the processes. Increased visibility helps to increase flexibility in the supply chain network by helping organizations in decision-making and evaluation of tradeoffs between cost and customer service.
Demand forecasting in supply chain management helps improve core operational processes such as demand-driven material resource planning, inbound logistics, financial planning, risk assessment and purchase of raw materials. It enables planning or predicting the demand of materials to ensure delivery of the right products and in the right quantities avoiding stockouts and overstocking.
Supply chain analytics provides complete visibility into inventory levels across the supply chain with end-to-end reports that show how raw material, intermediate product, and finished goods stocks cover sales. This enables companies to optimize inventory to meet demands and maintain required stock levels.
Case Studies
Here are some of our sucess stories
