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.

Demand Planning and Forecasting

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Sales and Operations Planning

Optimize demand planning and improve supply chain forecasting with demand to drive profitability and customer satisfaction by ensuring timely delivery and making proactive decisions.

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Risk Assessment

Identify, assess and mitigate risks in end-to-end supply chain by enabling strong risk assessment and management. Evaluate unforeseen supply chain vulnerabilities and understand potential risk disruptions preventing loss.

Seamless Inventory Optimization

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Inventory Planning and Management

Ensure order management, stock control, accounting and customer management with inventory planning and management to enhance supply chain efficiency.

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Stock Analytics

Avoid stockouts, reduce late shipments, optimize deployment of resources and be prepared for changing customer preferences with stock analytics.

Real-Time Monitoring

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Supply Chain Visibility

Get better visibility and near real-time insights through centralized control tower into complex supply chains to spot weaknesses such as inventory shortage and fix them to increase customer satisfaction and increase profits.

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Operations Diagnostics

Improve supply chain planning with in-depth and accurate operations diagnostics to generate comprehensive and actionable plan to increase efficiency and performance.

Transportation and Logistics Route Optimization

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Network Design Optimization

Re-evaluate network design for exact business needs by better understanding cost and time associated with bringing goods to market.

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Fleet Management and Analytics

Ensure last-mile delivery by evaluating your existing fleet operations by analyzing data from sensors and operate a high performance transportation network.

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. Data analytics in supply chain 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. Supply chain predictive analytics enables planning or predicting the demand of materials to ensure delivery of the right products and in the right quantities avoiding stockouts and overstocking.

Analytics in supply chain management 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.

Data analytics in supply chain case studies

Here are some of our sucess stories

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Timely and accurate demand forecasting at scale

Demand Forecasting

70% better accuracy for demand forecasting

Productionize Demand Forecasting Models

Production-ready system by building and integrating scalable ML models

Want to optimize your end-to-end supply chain processes with a strong supply chain analytics strategy?