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What data and analytics do you use to optimize your supply chain?

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Data and analytics are essential tools for optimizing your supply chain. They can help you improve your efficiency, quality, customer satisfaction, and profitability. But what data and analytics do you use and how do you use them? In this article, we will explore some of the key types of data and analytics that you can leverage to optimize your supply chain.

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1 Demand forecasting

Demand forecasting is the process of predicting the future demand for your products or services based on historical data, market trends, customer behavior, and other factors. Demand forecasting can help you plan your production, inventory, distribution, and pricing strategies. You can use various methods and tools to perform demand forecasting, such as regression analysis, time series analysis, machine learning, and artificial intelligence. You can also use data visualization and dashboards to monitor and communicate your demand forecasts.

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Muhammad Asif Iqbal

Data Analysis | Data Visualization | Marketing | Demand Planning
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Integrating real-time data and analytics to sense changes in demand patterns helps in adjusting inventory levels dynamically. This can involve using machine learning algorithms to analyze customer behaviour, market trends, and other external factors.

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2 Supplier performance

Supplier performance is the measurement and evaluation of how well your suppliers meet your expectations and requirements. Supplier performance can affect your product quality, delivery time, cost, and risk. You can use data and analytics to track and improve your supplier performance by using key performance indicators (KPIs), scorecards, benchmarks, and feedback. You can also use data and analytics to identify and mitigate supplier risks, such as disruptions, delays, defects, and compliance issues.

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3 Inventory management

Inventory management is the process of controlling the quantity, location, and movement of your raw materials, work-in-progress, and finished goods. Inventory management can help you optimize your cash flow, service level, and waste reduction. You can use data and analytics to optimize your inventory management by using techniques such as ABC analysis, economic order quantity (EOQ), safety stock, reorder point, and cycle counting. You can also use data and analytics to automate your inventory replenishment, allocation, and optimization.

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4 Logistics optimization

Logistics optimization is the process of designing and operating your transportation, warehousing, and distribution networks in the most efficient and effective way. Logistics optimization can help you reduce your costs, lead time, carbon footprint, and customer complaints. You can use data and analytics to optimize your logistics by using methods such as route planning, network design, vehicle routing, load planning, and delivery tracking. You can also use data and analytics to enhance your logistics visibility, agility, and collaboration.

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5 Customer satisfaction

Customer satisfaction is the degree to which your customers are happy with your products or services. Customer satisfaction can influence your customer loyalty, retention, referrals, and revenue. You can use data and analytics to measure and improve your customer satisfaction by using metrics such as customer satisfaction score (CSAT), net promoter score (NPS), customer effort score (CES), and customer lifetime value (CLV). You can also use data and analytics to collect and analyze customer feedback, preferences, and behavior.

Data and analytics can help you optimize your supply chain in many ways. By using data and analytics, you can make better decisions, solve problems, identify opportunities, and create value for your business and your customers. However, data and analytics are not enough. You also need to have a clear strategy, a skilled team, a robust infrastructure, and a continuous improvement culture to optimize your supply chain.

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6 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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Muhammad Asif Iqbal

Data Analysis | Data Visualization | Marketing | Demand Planning
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Consider the management of product lifecycles, including the identification and disposal of obsolete or slow-moving inventory. This is crucial for minimizing waste and optimizing overall inventory turnover.

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Leonardo Stofel

Coordenador de Logística | Especialista de Logística | Melhoria de Processos | Projetos de Melhoria | Lean Six Sigma
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Taxa de movimenta??o de mercadorias. Taxa de movimenta??o entre os CDs. Taxa de utiliza??o de recursos humanos, ativos ou outros equipamentos como empilhadeiras, coletores de dados e etc. Dentro da rede de suprimentos temos inúmeras possibilidades de coleta e análise de dados, mas deve-se focar naqueles que interferem nos indicadores chave ca companhia, prioritariamente, já que a base da gest?o empresarial é a execu??o da estratégia adotada pela empresa.

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What data and analytics do you use to optimize your supply chain?

1

2

3

4

5

6

1 Demand forecasting

2 Supplier performance

3 Inventory management

4 Logistics optimization

5 Customer satisfaction

6 Here’s what else to consider

Supplier Sourcing

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What data and analytics do you use to optimize your supply chain?

1

2

3

4

5

6

1 Demand forecasting

2 Supplier performance

3 Inventory management

4 Logistics optimization

5 Customer satisfaction

6 Here’s what else to consider

Supplier Sourcing

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