HARNESSING ANALYTICS

Big Data Analytics

The increasing amount of data generated by supply chain activities is making it possible to use big data analytics to gain insights and make better decisions.

Artificial Intelligence and Machine Learning

AI and ML are being used to automate and optimize various aspects of the supply chain, including demand forecasting, supplier selection and inventory management.

Predictive Analytics

SPredictive analytics are being used to anticipate and mitigate potential supply chain disruptions, including demand and supply volatility, as well as supplier and logistical issues.

Blockchain

Blockchain technology is being used to improve supply chain transparency and collaboration, as well as to provide a secure and immutable record of transactions and events

Internet of Things

IoT is being used to provide real-time visibility of the supply chain. IoT is being used to monitor and optimize the movement of goods and information.

Cloud Computing

Cloud computing is being used to provide scalable, flexible and cost-effective solutions for supply chain analytics, enabling companies to access and analyze data from multiple sources.

Social Media Analytics

Social media analytics are being used to monitor and understand consumer behavior. It is being utilized to make data-driven decisions that improve the customer experience and build brand loyalty.

KPI DASHBOARDS

The strategic key performance indicators in supply chain management are metrics that provide insights into the overall health and effectiveness of the supply chain. These metrics allow an organization to best-align its supply chain operations with its overall business strategy. Some of the most important strategic KPIs in supply chain management include:

Customer satisfaction: A measure of customer satisfaction with the quality of products, delivery time and customer service. This metric is used to assess the effectiveness of the supply chain in meeting customer needs.
Supply chain agility: A measure of the ability of the supply chain to quickly respond to changes in demand and supply conditions. This metric is used to assess the resilience and adaptability of the supply chain.
Cost efficiency: A measure of the cost-effectiveness of the supply chain. This metric is used to assess the competitiveness of the supply chain and to identify opportunities for cost savings.
Carbon footprint: A measure of the environmental impact of the supply chain. This includes emissions and waste. This metric assesses the sustainability of the supply chain and aids in identifying opportunities for improvement.
Supplier diversity: A measure of the diversity of suppliers within the supply chain. This metric is used to assess the resilience and competitiveness of the supply chain and to promote sustainability and social responsibility.
Inventory velocity: A measure of the speed at which inventory is moving through the supply chain. This metric tracks the efficiency of inventory management and identifies opportunities for improvement.
Delivery reliability: A measure of the reliability of delivery times. This metric is used to assess the effectiveness of logistics and transportation operations. It aids in identifying opportunities for improvement.

“Learning to collaborate is part of equipping yourself for effectiveness, problem solving, innovation and life-long learning in an ever-changing networked economy.”

Don Tapscott