Logistics Viewpoints

JUNE 9, 2022

Transparent data prepared especially for your logistics operation will get you easily through your peaks. In this context, the magic words are clear logistics data and integrated software systems. Before the peaks – using data analytics to make the right decisions. The data can be used to make a precise forecast.

Optimization Software 134

Optimization Software Logistics Network Optimization Software Supply Chain Planning Software Modeling Software 134

FreightWaves SONAR

MARCH 2, 2021

Companies are rapidly adopting and using real-time data to clearly understand challenges to better mitigate unexpected problems when they arise. In fact, logisticians should consider these top five use cases of increased visibility and data within logistics and how they improve throughput. Download the White Paper.

Supply Chain Planning Software 52

Supply Chain Planning Software Supply Chain Software Supply Chains Data 52

Logistics Viewpoints

JUNE 7, 2021

When companies implement a demand management or replenishment system, the goal is usually to improve customer satisfaction while holding less inventory. The implementation also involves leveraging weather data to improve forecasting. For example, a warehouse might have a big propane tank they use with forklifts that run on propane.

Optimal Sourcing 100

Optimal Sourcing Transportation Inventory Reduction Supply Chain Planning Software 100

Logistics at MPEPS at UPV

APRIL 29, 2023

Firstly, it can be very useful for route optimisation and scheduling, as it has a large amount of data that can be used to plan the most efficient and accurate shipping route. for example, it is possible to track shipments and manage inventories. But, what role does artificial intelligence play in logistics?

Supply Chain Planning Software 40

Supply Chain Planning Software Supply Chain Software Logistics Network Optimization Software Inventory Reduction 40

Logistics Viewpoints

NOVEMBER 15, 2022

For example, a distributor challenged to improve productivity, reduce the costs for picking low unit of measure (LUM) items, and increase picking accuracy added voice-directed, AI-driven optimization software to supplement their RF-based process. Highlighting this use case, a storage and organization retailer, with stores throughout the U.S.

Optimization Software 135

Optimization Software Inventory Reduction Production Vendor Strategies 135

SYSPRO Smarter ERP

APRIL 18, 2022

With reliable data from ERP manufacturers and distributors can use data analytics to respond to challenges. Manufacturers and distributors need to make sure the right goods and materials are in the right place at the right time, budgeted for appropriately, and replenished as needed.

Manufacturing Procurement 124

Manufacturing Procurement Supply Chain Planning Software Supply Chain Software ERP 124

SYSPRO Smarter ERP

APRIL 26, 2023

An ERP system brings financial, manufacturing, and business data into one central place so staff and management can have a complete view of how different business areas are working in real-time. Data from the system can then be used to track how corrective actions are making improvements.

Manufacturing Procurement 98

Manufacturing Procurement Optimal Sourcing ERP Supply Chain Design Software 98

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

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. For example, highlighting unusual dips in demand or longer than expected lead times. Adding Qualitative Insights.

Procurement Solutions 98

Procurement Solutions Inventory Reduction Inventory Supply Chain Planning Software 98

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 Viewpoints

MAY 31, 2023

A number of unification examples and their benefits were provided. For live unloads, Active Yard Management can leverage real-time inbound shipment visibility data from the TMS mobile app and from shipment visibility providers such as FourKites to match doors to projected inbound shipments.

Conference 123

Conference Supply Chain Planning Software Inventory Reduction Optimization Software 123

Logistics Viewpoints

JANUARY 26, 2024

Emergency vehicles, for example, would be exempt, and the California Highway Patrol could authorize the system’s disabling in certain other cases. The device prevents vehicles from surpassing a certain speed, by harnessing GPS and on-board camera data to determine limits on a specific roadway.

Logistics Network Optimization Software 139

Logistics Network Optimization Software Supply Chain Software Supply Chain Planning Software Inventory Reduction 139

Blue Grace Logistics

NOVEMBER 3, 2022

For example, if you’re a retailer and you’re exiting the year with bare shelves, that’s great! It means you had a good holiday season and need to do a tremendous amount of inventory replenishment early in the year. Clean Data = Better Transportation Budget Decision Making . Approximately when are you going to need it? .

Efficiency 62

Efficiency How To Transportation Optimization Modeling 62

CH Robinson Logistics

DECEMBER 15, 2021

However, with this year’s volatility, I was also given a front-row seat to a new level of hyper collaboration – including individuals going out of their way to help each other, more strategy sessions between shippers and forwarders, and continually leaning into historical data and current market insights to find smarter solutions.

Sourcing Strategies 90

Sourcing Strategies Global logistics Cost Reduction Inventory Reduction 90

Logistics Viewpoints

MAY 25, 2022

Brian provided some specific omni-channel examples with easy to envision benefits. The Manhattan Active WM roadmap includes the next evolution of order streaming, applying those dynamic direct-to-consumer principles to retail replenishment and B-to-B fulfillment environments.

Conference 104

Conference Supply Chain Planning Software Optimization Software Scenario Planning 104

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

The Logistics Academy

OCTOBER 18, 2017

As global supply chains become more complex and customers more demanding, the race is on to develop software applications that can effectively manage and make sense of the zettabytes of data being generated by our digital world. Of course, capturing the data and then using it to make good decisions are two entirely different things.

Supply Chain Planning Software 40

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Supply Chain Design 40

Logistics Viewpoints

OCTOBER 21, 2021

Pop up warehouses, micro fulfillment centers, and warehousing-on-demand are all examples of how the nodes are becoming increasingly dynamic. Design can help test such ideas before implementing changes to the master data. This is leading these organizations to move from Design being an episodic activity to a continuous process.

Supply Chain Design Software 113

Supply Chain Design Software Supply Chain Design Supply Chain Planning Software Supply Chain Software 113

Logistics Business Magazine

OCTOBER 9, 2023

Edward Napier-Fenning, Sales & Marketing Director of leading supply chain software company Balloon , explores five key areas that can boost performance – including route planning, picking, labour management reporting and data entry. A minor example is some work we recently did for Birlea.

Warehousing 62

Warehousing Sourcing Strategies Supply Chain Planning Software Resource Reduction 62

Logistics Viewpoints

JANUARY 23, 2024

This year, a recurring theme that I saw was about using supply chain data to improve the customer experience across the entire value chain. Here are the ones that stood out to me, especially as it relates to supply chain data. The single data cloud runs on Snowflake, one of Blue Yonder’s partners.

Supply Chain Planning Software 125

Supply Chain Planning Software Supply Chain Software Supply Chains Scenario Planning 125

EazyStock

JANUARY 14, 2020

But once they’re up and running, there’s no doubt they offer a wealth of benefits, including streamlined processes, improved productivity, centralized data and better departmental collaboration. Often an inability to fulfill orders is due to stock outs which can link back to poor forecasting or inadequate inventory replenishment processes.

Optimization Software 52

Optimization Software Procurement Solutions Inventory Reduction Inventory 52

EazyStock

JANUARY 4, 2021

EazyStock is a cloud-based inventory optimization solution that integrates directly with your existing ERP to automatically feed data back and forth. Optimized Inventory Replenishment. With Acumatica you can manually set your replenishment parameters using the minimum/maximum quantity method (“min/max”).

Inventory Reduction 52

Inventory Reduction ERP Inventory Optimization Software 52

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. These key metrics become your organisation’s “multi-function display” and give you the primary data needed to monitor and manage “normal flight conditions.”

Supply Chain Design Software 96

Supply Chain Design Software Supply Chain Planning Software Supply Chain Software Supply Chain Design 96

Logistics at MPEPS at UPV

MARCH 16, 2021

With the help of big data, cloud computing, Internet of Things and other means, it is possible to optimize the resources and network of the entire logistics chain to achieve optimal operation and reduce logistics costs.

Cost Reduction 40

Cost Reduction Waste Reduction Resource Reduction Price Reduction 40

SYSPRO Smarter ERP

MAY 10, 2022

Demand forecasting : Data on sales history should be available to produce forecasts. For example, production jobs for different sales orders can be combined to take advantage of commonly used parts and assemblies. By using business analytics tools in the forecasting process, the quality of forecasts can be assessed and trends analyzed.

Manufacturing Procurement 111

Manufacturing Procurement ERP Procurement Solutions Optimal Sourcing 111

CH Robinson Logistics

MAY 11, 2021

Robinson releases our 2020 Sustainability Report, which provides critical data and increased transparency about our sustainability performance. As a technology company in the transportation logistics industry, we believe the power of data and innovation can solve the industry’s most complex sustainability issues.

Material Savings 63

Material Savings Supply Chain Software Logistics Network Optimization Software Replenishment 63

EazyStock

FEBRUARY 1, 2021

Using historical demand data alone is not enough to predict your future demand and prevent stock outs – especially when markets are unpredictable and you carry items with erratic and sporadic demand. For example: With such different demand patterns, it doesn’t make sense to treat every product the same. Stock level optimization.

Inventory Reduction 52

Inventory Reduction Optimization Software eCommerce Inventory 52

EazyStock

APRIL 20, 2020

A planned event is when your customer has a planned event where the future demand is known; for example scheduled repairs and maintenance. Instead, appropriate replenishment parameters can be calculated based on the unknown demand only, lowering tied-up capital and improving customer service levels. What’s new? How will this help you?

Production 52

Production Supply Chain Planning Software Events Inventory Reduction 52

EazyStock

JULY 7, 2020

This kind of software will help you understand how volatile your demand is and adjust your replenishment parameters as needed. For example, items with stable demand will be assigned one algorithm, while those with lumpier or slow moving demand will use a more suitable formula. Why 30-day Rolling Average Forecasts will Fail.

Optimization Software 52

Optimization Software Supply Chain Software Modeling Software Inventory 52

EazyStock

JUNE 16, 2022

For example, navigation apps, facial recognition, smart assistants, and even robot vacuum cleaners at home use this smart tech. AI can adapt in near-real-time to changing conditions and develop new knowledge by processing more data and revealing more patterns and trends than humans can. AI was once only seen in science fiction.

Supply Chain Software 52

Supply Chain Software Optimization Software Supply Chains Inventory Reduction 52

The Logistics Academy

JUNE 29, 2017

Every day, more data than we can imagine zings across that global conduit we call the Internet. Much of that data comes directly from devices, without human intervention. Drivers carry cell phones in their cars to feed GPS locations to a traffic information and navigation service, which uses the data to detect congestion.

Supply Chain Planning Software 40

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Supply Chain Design 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.

Optimization Software 141

Optimization Software Supply Chain Design Software Modeling Software Digital 141

Ship Monk

JULY 27, 2022

Put simply, demand forecasting uses a variety of data to foresee customer demand and inform major business decisions, from launching new products to finding the perfect 3PL partner. How often does inventory need to be replenished? The COVID-19 pandemic was a prominent example. #5 What is Demand Forecasting? Let’s dive in.

eCommerce 52

eCommerce Inventory Reduction Cost Reduction Price Reduction 52

SYSPRO Smarter ERP

SEPTEMBER 8, 2021

Running a warehouse as a silo, for example using a spreadsheet, will not help sales when a customer asks for a quote, or the shop floor if they need to know what materials are available for a production run. For example, analyzing real-time production data to uncover hidden inefficiencies and implement changes faster.

Supply Chain Planning Software 115

Supply Chain Planning Software Supply Chain Design Software ERP Manufacturing Procurement 115

Morai Logistics

DECEMBER 18, 2019

Analyzing data, making models, predictions, and forecasting with it, route optimization, personalizing customer service are just a few things AI showed that it’s capable doing for companies over the previous year. If AI is the linchpin to a variety of technology, data is the life force for it.

Supply Chain Software 60

Supply Chain Software Supply Chain Planning Software Supply Chain Technology Supply Chains 60

Logistics Viewpoints

JULY 22, 2021

As product flows rapidly shifted and hard baked assumptions about lead times and sourcing locations were put to test, users across many organizations bypassed their planning systems and turned to excel sheets, internal data science teams or non-traditional supply chain vendors who could deliver AI based solutions at a faster turn.

Supply Chain Planning Software 146

Supply Chain Planning Software Supply Chain Design Software Optimal Sourcing Scenario Planning 146

EazyStock

MARCH 22, 2022

Fluctuating demand and supply volatility have made accurate demand forecasting even more challenging for two reasons: Using last year’s sales data as a base for forecasts is a ‘no go’, as demand fluctuations due to the pandemic skew the data. Use appropriate historical data. Use qualitative data.

Supply Chain Planning Software 52

Supply Chain Planning Software How To Supply Chain Design Software Supply Chain Software 52