Logistics Viewpoints

MARCH 4, 2021

Supply chain planning involves interaction with different types of information based on internal and external data sources. These data sources are often spread across multiple platforms and come in various formats. Planners spend their precious time collecting and synthesizing the data to drive insights.

Supply Chain Planning Software 166

Supply Chain Planning Software Scenario Planning Supply Chain Software Optimal Sourcing 166

Material Handling and Logistics

AUGUST 31, 2018

The solutions to supply chain problems boil down to the right combination of three factors—technology, data and processes. Fundamentally, the solutions to supply chain woes boil down to the right combination of three factors—technology, data and processes. Data is a critical business asset. Trouble finding skilled labor”.

Supply Chain Design Software 145

Supply Chain Design Software Supply Chain Planning Software Supply Chain Software Supply Chain Design 145

FreightWaves SONAR

DECEMBER 30, 2020

Data-driven transportation management , including the checks and reviews that accompany healthy data management practices, are part of the process of getting the most out of the tech stack. This remains key to the overall success of investments within supply chain analysis. Things will go wrong. Think about it.

Supply Chain Planning Software 98

Supply Chain Planning Software Data Supply Chain Software Transportation 98

The Logistics of Logistics

DECEMBER 6, 2021

gateway for trade with Asia reached the highest since the pandemic began, exacerbating delays for companies trying to replenish inventories during one of the busiest times of the year for seaborne freight. Our team is also available for advisory boards, leadership recruitment, and corporate speaking engagements. Lauren Beagen LinkedIn.

Inventory Reduction 195

Inventory Reduction Material Savings Maritime Supply Chain Software 195

Logistics Viewpoints

NOVEMBER 1, 2024

They are designed for high-reach applications, capable of horizontal and vertical movement of payloads, and used for end-to-end applications, from inbound, replenish, and outbound tasks to all tasks in between. The data is accessible to state U.S. If found in violation, Temu could face fines of up to 6% of its global turnover.

Supply Chain Design Software 162

Supply Chain Design Software Supply Chain Software Supply Chain Design Supply Chains 162

Logistics Viewpoints

AUGUST 29, 2024

The ability to make data-driven decisions in real-time is invaluable for maintaining a high level of operational efficiency. Traditional slotting solutions require customized models, extensive engineering, measurement, and data collection. This leads us to the idea of Dynamic Slotting , an essential strategy for space optimization.

Waste Reduction 154

Waste Reduction Optimal Sourcing Sourcing Strategies Resource Reduction 154

Logistics Viewpoints

APRIL 4, 2024

Data Normalization & Removing Bias Data normalization in the context of forecasting is the process of going from actualized sales, which may be biased by various factors such as weather or inventory availability, to an understanding of baseline demand that is stripped of the impacts of these demand drivers.

Scenario Planning 160

Scenario Planning Supply Chain Planning Software Supply Chain Software Supply Chain Design Software 160

SYSPRO Smarter ERP

AUGUST 28, 2023

In today’s digitalized world, manufacturers must keep pace with the rapidly evolving technology landscape to remain competitive, agile, and to protect their electronic assets such as data. Updated ERP releases offer embedded analytics capabilities, integrating intelligence and data directly within the ERP system.

Supply Chain Design Software 98

Supply Chain Design Software Supply Chain Planning Software Optimization Software ERP 98

EazyStock

NOVEMBER 17, 2020

Many organizations have an enterprise resource planning (ERP) system to collect, store, manage and interpret data from a host of different businesses processes. This can include statistical demand forecasting , advanced inventory planning and automated replenishment activities. What is ERP inventory management?

ERP 98

ERP Inventory Reduction Inventory Optimization Software 98

Conger

MAY 24, 2023

Want to learn about automatic replenishment? Keep reading to find out: What automatic replenishment is How it works Who can benefit from it Its advantages and disadvantages The different types Best practices for choosing a system and vendor And lots more! Table of Contents What Is Automatic Replenishment? Let’s dive in!

Replenishment 40

Replenishment Supply Chain Planning Software Supply Chain Design Software Optimization Software 40

EazyStock

JUNE 23, 2022

What is big data? All successful businesses use data to develop strategies and review their outcomes. But as the number of systems being used increases, the amount of data available for consumption and analysis grows exponentially. Unstructured data isn’t as accessible to search or export and is often text-heavy.

Inventory Reduction 52

Inventory Reduction Optimal Sourcing Inventory Supply Chain Planning Software 52

EazyStock

JUNE 24, 2020

It also offers improved efficiencies and powerful data insights, providing a wealth of functionality to help during these difficult times. The era of using spreadsheets to run reports and analyze data is over. Feedback and data from your sales team, customers and industry bodies can easily be added to forecasts to help fine-tuning.

Procurement Solutions 98

Procurement Solutions Inventory Reduction Inventory Supply Chain Planning Software 98

EazyStock

JUNE 18, 2019

If you’re wondering what is the best way to manage inventory with hundreds or even thousands of SKUs, you’ve found your answer: ABC analysis (otherwise known as ABC classification ). In this post, we’re going to discuss how you can classify your inventory into three ABC categories and introduce the concept of XYZ analysis.

Analysis 51

Analysis Inventory Reduction Inventory Procurement Solutions 51

SYSPRO Smarter ERP

FEBRUARY 2, 2022

Companies struggling to manage their supply chains often lack data for decision making, have siloed systems and inefficient inventory management practices. Effective data management. Furthermore, data handling may necessitate collaboration amongst many departments to maintain performance and quality. Tracking issues.

Manufacturing Procurement 105

Manufacturing Procurement Inventory Reduction Inventory Optimal Sourcing 105

SYSPRO Smarter ERP

AUGUST 7, 2023

This fragmented approach leads to redundant data entry, lack of coordination and inefficiencies that consume valuable time and resources. With an ERP, all departments are looking at the same data. Inventory managers can plan replenishment to satisfy demand from sales and production. If this sounds familiar, you are not alone.

ERP 98

ERP Manufacturing Procurement Optimal Sourcing Procurement Analytics 98

Logistics Viewpoints

JANUARY 26, 2024

The device prevents vehicles from surpassing a certain speed, by harnessing GPS and on-board camera data to determine limits on a specific roadway. Transits declined yet again in December as reservations were further restricted, according to newly released data from the Panama Canal Authority (ACP).

Logistics Network Optimization Software 162

Logistics Network Optimization Software Supply Chain Planning Software Supply Chain Software Inventory Reduction 162

EazyStock

AUGUST 28, 2023

In the rapidly evolving business landscape, staying ahead of the competition requires more than just good instincts – it demands data-driven decision making. When it comes to inventory management, relying on gut feelings and historical data may lead to inefficiencies, missed opportunities and incorrect inventory levels.

Inventory Reduction 52

Inventory Reduction Optimal Sourcing Inventory Optimization Software 52

3PL Links

JULY 7, 2023

The Role of Data Analytics in Supply Chain Management | Image source: Pixabay This article describes the transformation that data analysis and the supply chain are fostering and how it will impact business intelligence. Intelligence-driven businesses are interested in supply chain management and data analysis.

Supply Chain Software 48

Supply Chain Software Supply Chains Data Logistics Network Optimization Software 48

Log-hub

NOVEMBER 22, 2023

In this blog post, we will explore the highly effective ABCD Analysis technique for warehouse optimization with its pitfalls and how organizations can leverage their data to implement this strategy successfully based on Log-hubs experience over the last years.

Inventory Reduction 40

Inventory Reduction Analysis Material Savings Waste Reduction 40

Log-hub

NOVEMBER 22, 2023

In this blog post, we will explore the highly effective ABCD Analysis technique for warehouse optimization with its pitfalls and how organizations can leverage their data to implement this strategy successfully based on Log-hubs experience over the last years.

Inventory Reduction 40

Inventory Reduction Analysis Material Savings Waste Reduction 40

10xLogistics

MAY 14, 2024

Today, we will cover all things Demand Planning and I will follow this with a sub-post dealing with the topic of CPFR (Collaborative Planning, Forecasting and Replenishment). Collaborative planning ensures that all relevant insights and data points are considered, leading to more accurate forecasts.

Supply Chain Planning Software 62

Supply Chain Planning Software Supply Chain Software Modeling Software Scenario Planning 62

EazyStock

OCTOBER 20, 2020

This keeps the data clean and easier to use for forecasting going forward. Look out for such trends in your historical demand data and adjust your forecasts accordingly. Qualitative factors: Add any qualitative forecasting factors into your data, such as sales promotions, competitor activity or external market events.

Inventory Reduction 98

Inventory Reduction Optimization Software Optimization Modeling Inventory 98

Log-hub

NOVEMBER 22, 2023

7 min read Maximizing Warehouse Efficiency: Unleashing the Potential of ABCD Analysis In the dynamic world of supply chain management, optimizing warehouse operations has become an indispensable factor for businesses. One of the most powerful tools employed in this endeavor is the ABCD Analysis.

Inventory Reduction 40

Inventory Reduction Analysis Material Savings Waste Reduction 40

FreightWaves SONAR

FEBRUARY 23, 2021

However, it has no immunity to rising costs and fees, changes in taxes, mobile data expenses, and penalties. The solution: Recognizing market trends as they occur in real-time is easier with access to actionable, insightful data. Challenge 4: Rising costs. Managers need to contend with this challenge on a regular basis.

Maritime 84

Maritime Supply Chain Planning Software Supply Chain Software Logistics Network Optimization Software 84

SYSPRO Smarter ERP

DECEMBER 19, 2022

They have become applicable because the large amount of data they require is now created and stored by businesses, thanks to advances in computer technology. It uses historical data and applies statistical techniques to allocate resources in the most effective way to satisfy competing requirements. Inventory optimization.

Inventory Reduction 105

Inventory Reduction Supply Chain Planning Software Inventory Scenario Planning 105

EazyStock

JANUARY 31, 2022

Inventory Management KPIs for Effective Inventory Analysis. But with a wealth of inventory KPIs available to choose from to include in your inventory analysis methods, which ones are the most important to ensure you’re on the right track to optimum efficiency? Managing inventory is a complex business. Inventory turnover ratio.

Inventory Reduction 52

Inventory Reduction Inventory Analysis Optimization Software 52

FreightWaves SONAR

SEPTEMBER 29, 2023

The COVID-19 crisis unveiled major issues within global supply chains and, as we have seen with SONAR freight data, volatility in the market. For those that make the right applications of freight data, the massive problems created by the pandemic could have been more easily mitigated.

Data 52

Data Inventory Reduction Supply Chain Planning Software Vendor Strategies 52

SYSPRO Smarter ERP

DECEMBER 19, 2022

They have become applicable because the large amount of data they require is now created and stored by businesses, thanks to advances in computer technology. It uses historical data and applies statistical techniques to allocate resources in the most effective way to satisfy competing requirements. Inventory optimization.

Inventory Reduction 98

Inventory Reduction Supply Chain Planning Software Inventory Scenario Planning 98

Logistics Bureau

OCTOBER 10, 2022

The second is when you implement segmentation of the SKUs in your portfolio based on Pareto analysis. Ignoring the presence of forecast biases which skew replenishment patterns. The frequency at which you place orders to replenish each SKU is another factor that impacts inventory levels. 2: Forecast Accuracy.

Inventory Reduction 124

Inventory Reduction Inventory Optimization Modeling Optimization Software 124

Logistics Bureau

OCTOBER 10, 2024

Slotting is normally restricted to the picking face or online locations only, however it can impose some general rules for stock location in the bulk areas in order to increase replenishment efficiency. Increase replenishment and put-away efficiency. High level Slotting is a minimum requirement for the implementation of a new facility.

Production 74

Production Inventory Reduction Cost Reduction Expense Reduction 74

EazyStock

JUNE 18, 2019

If you’re wondering what is the best way to manage inventory with hundreds or even thousands of SKUs, you’ve found your answer: ABC analysis (otherwise known as ABC classification ). In this post, we’re going to discuss how you can classify your inventory into three ABC categories and introduce the concept of XYZ analysis.

Analysis 40

Analysis Inventory Reduction Inventory Procurement Solutions 40

Logistics Viewpoints

MAY 11, 2023

For example, they can test the effect of increasing or decreasing safety stock levels or changing the replenishment frequency of certain products. This data can be used to identify potential issues before they become problems, optimize maintenance schedules, and improve the lifespan of equipment. come with any of them.

Optimization Software 165

Optimization Software Supply Chain Design Software Modeling Software Digital 165

Stord

MARCH 24, 2020

Inventory replenishment becomes a challenge as a result and you risk not being able to fulfill customer orders or reorder from the manufacturer. Build a network of forward stocking locations and use your supply chain’s historical inventory data to make decisions. What SKUs sell out the fastest in that region?

Supply Chain Design Software 78

Supply Chain Design Software Supply Chain Software Events Supply Chain Design 78

Logistics Bureau

DECEMBER 19, 2022

Slotting Increases Replenishment Efficiency. If warehouse product slotting increases productivity and efficiency in picking, thereby reducing warehouse costs, it stands to reason that it does the same for replenishment and put-away activities. Productivity improvements in picking, replenishment, and put-away.

Production 106

Production Inventory Reduction Cost Reduction Resource Reduction 106

Logistics Bureau

OCTOBER 20, 2021

You see, the set of primary data needed to keep an airliner aloft is (apparently) relatively simple—and the same is true of running a supply chain organisation. “Paralysis by analysis” is a common term used to describe such a situation, and you can avoid it by monitoring a smaller number of carefully chosen KPIs.

Supply Chain Design Software 110

Supply Chain Design Software Supply Chain Planning Software Supply Chain Software Supply Chain Design 110

Logistics Bureau

JULY 18, 2022

Once you have gathered the data relating to your customers’ needs, you should be able to see if a single logistics strategy will work for your entire customer base, or whether you need to take a segmented approach. Step 2: Gap Analysis – Customer Requirements and Supply Chain Trends. Vendor-managed inventory or replenishment.

Inventory Reduction 116

Inventory Reduction Resource Reduction Vendor Strategies Cost Reduction 116

EazyStock

OCTOBER 10, 2018

Big data is a term used to describe a massive volume of both structured and unstructured data that’s too large to be processed using traditional database and software techniques. In most enterprise scenarios, the volume of data is too big, moves too fast and exceeds processing capacity of existing applications.

Inventory Reduction 45

Inventory Reduction Supply Chain Planning Software Inventory Modeling Software 45