Are market variables impacting the efficiency of your supply chain process? Efficient data-driven insights are crucial to straightening supply chain kinks. Our logistics and supply chain analytics expertise will help you uncover the insights needed to make your supply chain more efficient.
Get in touchLogistics & Supply Chain Analytics Services provide data-driven solutions to optimize the efficiency of the supply chain process.
We analyze supply chain data to identify trends that can lead to accurate forecasts of variables. These insights enable our clients to stay unaffected by market disruptions.
Our data-driven logistics & supply chain analytics services include the following:
Analyze historical data and make data-driven predictions about future demand and supply for streamlining operations.
Model and analyze the behavior of supply chain systems under different scenarios to identify and mitigate potential supply chain bottlenecks.
Get data-driven insights into complex logistics and supply chain problems and devise solutions to reduce risks, bring down costs, and improve overall operational efficiency.
Develop data-driven solutions to optimize inventory levels and bring down inventory costs, minimize stockouts, and increase customer satisfaction.
Get data-driven insights to identify the most efficient and cost-effective routes for transporting goods for reduced transportation costs and enhanced customer satisfaction.
Gain a real-time view of end-to-end supply chain operations and respond to bottlenecks and disruptions no sooner than they happen.
Reduced inventory, transportation, & storage costs leading to increased cost savings
Real-time visibility into supply chain operations helping in mitigating potential risks
Improved customer service leads to better customer retention and satisfaction
Data-driven insights help businesses respond quickly to supply chain disruptions
Enhanced forecasting using advanced analytics tools & techniques
Stay ahead in competition with an edge over competitors
Increased scalability leading to seamless capacity enhancement
Enhanced compliance with regulations to avoid legal consequences
Our Logistics & Supply Chain Analytics services come packed with the following benefits.
Get access to a team of data scientists, analysts, and supply chain consultants to tailor data-backed industry-specific supply chain solutions.
We aid businesses in adopting automation, utilizing real-time tracking & monitoring to implement data-driven supply chain improvements by leveraging predictive analytics.
We analyze data patterns to help you identify potential risks, assess their impact, and develop, implement, monitor, and review risk management strategies.
We increase the visibility of the entire supply chain operations using advanced technologies from procurement to distribution to enable you to gain a market edge.
We aid businesses with cloud-based flexible infrastructure solutions to scale up or down to effectively manage operational complexities while reducing costs.
We back businesses with excellent customer service and improved visibility using targeted location-specific data-driven insights to boost the supply chain’s global reach.
We have extensive experience in offering data-driven solutions to a wide variety of industries. Some of these industries are:
CPG
Healthcare
E-Commerce
Logistics
Banking and financial services
Manufacturing
Insurance
Engineering Services
Supply chain analytics helps logistics management by providing insights and data-driven decision-making to optimize and improve the various processes involved in a supply chain. It enables organizations to track and monitor their inventory levels, shipping times, transportation costs, supplier performance, and demand forecasting. This helps to identify bottlenecks, minimize waste, and increase operational efficiency. Supply chain analytics also helps improve the supply chain's visibility and transparency, enabling organizations to proactively identify and address potential risks and issues and make data-driven decisions to improve their logistics operations.
Several analytics techniques can be used to improve supply chain management, including:
These analytics techniques can help supply chain managers make data-driven decisions, increase efficiency, reduce costs, and improve customer satisfaction.
There are several key issues in supply chain analytics, including:
There are various tools used in supply chain analytics; some of the popular ones include:
The specific tools used in supply chain analytics depend on the complexity and size of the supply chain, the types of data being analyzed, and the organization's specific goals.
The scope of supply chain analytics covers the analysis of various aspects of a company's supply chain operations, including procurement, production, inventory management, transportation, and distribution. The goal is to improve efficiency, reduce costs, and increase customer satisfaction. Supply chain analytics uses data, statistical algorithms, and machine learning to analyze large amounts of data, identify patterns and trends, and provide actionable insights to inform decision-making. The scope of supply chain analytics also includes predictive and prescriptive analytics, which help companies anticipate future demand and optimize supply chain processes accordingly.
The major forecasting methods used in supply chain analytics are:
These methods can be used in isolation or combination, depending on the nature of the data and the accuracy of the forecasts required.
The major forecasting methods used in supply chain analytics are:
These methods can be used in isolation or combination, depending on the nature of the data and the accuracy of the forecasts required.
Big data analytics helps supply chains by providing organizations with valuable insights into their operations. This helps companies to make more informed and effective decisions that can improve efficiency, reduce costs, and increase customer satisfaction.
Some specific ways in which big data analytics can help the supply chain include:
In supply chain management, several key metrics are commonly used to monitor performance and identify areas for improvement. Some of the most commonly used metrics include:
These metrics provide valuable insights into supply chain performance and can help organizations identify areas for improvement and track progress over time.
Working with the Phygital data engineering team has been a game-changer for our company. They helped us identify our data ingestion problems and implemented a centralized system to tackle them. We highly recommend their services.
Karen
Technical Product Manager US-based Company
We needed support to help grow our retail business with data-driven recommendations. We found it in Phygital Insights’ Data Analytics Services. They studied our data, uncovered hidden patterns, and enabled us to anchor decisions on data-driven insights. Don’t look beyond Phygital for all your data needs.
Sarah
Product Manager, US-based Retail Firm
We were struggling to increase our combined yield for all processes. After several futile efforts, we turned to Phygital. Their end-to-end analysis helped us identify hidden bottlenecks in the production line. We plugged them in to cut down on wastage and improve overall efficiency. Their service was indeed a game-changer.
Jessica
Senior Operations Manager, US-based Manufacturing Company
Our vast expertise in leading supply chain operations with data-driven actionable insights makes us
ideal for your unique business needs.
Our other solutions include: