Emergency Shipping Amid Uncertainty Through Data Driven TMS

Cerasis

The responsiveness of the supply chain depends on the ability of shippers to rapidly increase shipment volume to meet demand, as well as the ability of carriers to heed those.read More. Data TMS Data Driven TMS

Data 68

Data Analytics for Optimizing Inventory

SIPMM Professional Publications

Data analytics is the process of examining structured and unstructured data sets in order to provide real-time up to update information that can facilitate the company to maximize the decision value in the business.

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Meeting Supply Chain Expectations

LandLink

With global IoT tracking and big data analytics, 3 PL's will become a valuable resource which can rise to the challenge of today’s heightened consumer expectations, delivering an experience on par with and even surpassing the consumer and B2B expectations. Industry Trends Big Data Logistics NewsWith the rise of Amazon, Uber, and home IoT products, consumer expectations for real-time visibility and connectivity have never been higher.

How Data Can Improve Last-Mile Delivery

Shipchain

But dedicated managers have found a solution to help improve this part of delivery: data. Data is generated in all parts of last-mile delivery, and analysis of this information can help companies become proactive rather than reactive with their delivery methods.

Data 62

Supply Chain Planning Maturity – How Do You Compare to Peers?

Today's supply chains are networked, global ecosystems. An event upstream in a different country or region can cause considerable disruption downstream. The COVID-19 pandemic is an extreme example of how this unfolds in practice. How prepared are supply chain teams to react and recover, from a planning maturity stance? Download this report to get exclusive insights on planning maturity!

Using Shipping Data to Meet E-Commerce Customer Demand

Supply Chain Brain

Two top components of customer experience are delivery and transparency, according to a recent report

Data Warehousing for Integrated Logistics

SIPMM Professional Publications

Because of high competition and multiple challenges, the focus is made on customers, meeting their needs and expectations. The post Data Warehousing for Integrated Logistics appeared first on SIPMM ACADEMY.

Where competition, modernisation and capability meet

Logistics in War

We are, without a doubt, in a period where technology can meet our ambitions. Consider how artificial intelligence, automation and robotics will revolutionise logistics whether it be through automated warehousing, unmanned casualty evacuation or instantaneous data-sharing to support tactical logistics activity. By David Beaumont. Thankyou, once again, for supporting Logistics In War.

7 Benefits Realized Utilizing Big Data to Optimize Supply Chains

Cerasis

The company focuses on high tech industries such as telecome , data storage, data centers, bio-medicine, and any company who needs supply chain visibility and proactive supply chain services for replacement parts and more. All of these factors make using big data valuable.

Data 136

Managing E-Commerce Fulfillment Spikes With Data Analysis

Cerasis

To meet demand, shippers must rapidly ramp up production and move more product, but the industry is struggling. This creates a major problem for managing e-commerce fulfillment when orders spike and shippers need to understand how data analysis may help. Data E-Commerce Logistics

Data 80

Automated Order Processing and Proactive Inventory Management

Speaker: Irina Rosca, Director of Supply Chain Operations, Helix

Organizations need to focus on demand driven supply planning, utilizing real time information on customer orders from all marketplaces (e-commence, Amazon - or other online retailers, and point of sale data from brick and mortar). Focusing on this information once per month during the S&OP meeting is too late for all business units to align. Companies should have seamless integration between order entry, inventory management, forecasting and supply planning models and purchase order status to sense risk, pull levers to mitigate potential risk, and communicate within and outside the organization. This is especially important for new product releases, in store programs or promotions (sales, end caps, PDQ. etc) or online promotions (company run or 3rd party). Depending on total supply chain lead time, not having real time visibility and analysis of this information can significantly affect sales and the bottom line.

XPO integrates last-mile delivery data with Google and Amazon voice applications

DC Velocity

Company also creates 5,000 jobs to meet first-quarter growth. Technology

Location Data is Tip of the Iceberg

Parade

Starting with Location Data A robust carrier intelligence (Link to Article) system uses a mixture of data sources to procure capacity in an intelligent manner. One possibility, real-time location data, is a viable information source that can prevent or inform of delayed delivery.

Tips 78

Tapping IoT Data to Drive Last-Mile Delivery

IoT World Today

A case in point is last-mile delivery, an area where IoT (Internet of Things) data may not yet be fully tapped. It also challenges companies of all kinds to employ IoT and other technologies to boost logistics skill sets and meet customers’ new expectations. .

Data 99

The 5 Key Reasons Why Data Quality Is So Important

Cerasis

Editor's Note: Today's blog comes from Katie Cruze at considerdigital.com who give us the top 5 reasons why data quality is important. Data, for most companies, is often collected for record-keeping purposes. The 5 Key Reasons Why Data Quality Is So Important.

Data 89

Discover 4 Use Cases for Applying AI to Your Recruiting Processes

understand large data sets, distinguish patterns and. self-improve over time using historical data points. Data shows recruiters are hungry to use. Candidates search for job openings where they meet the basic. Meet Tim, a young college graduate with. The next.

An Increase in Truck Charging and Refueling Infrastructure Needed to Meet EU’s Goals

NGT News

The European Automobile Manufacturers’ Association (ACEA) has released new data on the number of charging points and refueling stations required for zero- and low-emission trucks to meet the 2025 and 2030 CO2 targets. The post An Increase in Truck Charging and Refueling Infrastructure Needed to Meet EU’s Goals appeared first on NGT News.

Designing Your Business to Meet Customer Expectations

Transplace

Designing Your Business to Meet Customer Expectations. To succeed in this increasingly-demanding environment, shippers need actionable analytics, and those organizations that fail to provide these experiences to its customers and properly leverage data are often missing the big picture.

Overcoming Retailers Delivery Requirements with Data Reporting

Transplace

Overcoming Retailers Delivery Requirements with Data Reporting . This next-gen inventory strategy has put pressure on businesses to meet growing consumer demands by having products where and when they want them. By: Mark McEntire, Senior Vice President of Operations, Transplace.

Data 65

Transplace Connects Data, Gains Carrier Intelligence, Scales Digital Engagement

Parade

Transplace subsequently further invested in their brokerage arm to meet this market need. They hoped to use this data to more quickly and effectively match loads with carriers.

Data 78

What Less-Than-Truckload Data Should a Shipper Track?

Cerasis

The answer is simple; shippers must track the right data. Knowing the proper metrics and data points to track promotes cost-effective shipping practices and can improve vendor, carrier and consumer relationships, reports Merrill Douglas of Inbound Logistics. Data LTL

Data 82

Revolutionizing the RFP Process with Data

Logistics Problem Solving

However, new software solutions that provide clean, accurate freight data are a huge step forward in making the carrier RFP process more efficient and effective. The process typically starts with gathering data from their freight payment provider or system. Then the user must clean the data to remove all the non-standard shipments, balance due bills or incorrect data. The Benefits of Using Big Data to Improve the RFP Process. Meeting higher expectations.

Data 48

Revolutionizing the RFP Process with Data

Logistics Problem Solving

However, new software solutions that provide clean, accurate freight data are a huge step forward in making the carrier RFP process more efficient and effective. The process typically starts with gathering data from their freight payment provider or system. Then the user must clean the data to remove all the non-standard shipments, balance due bills or incorrect data. The Benefits of Using Big Data to Improve the RFP Process. Meeting higher expectations.

Data 48

Finding Truck Capacity Is More Than Location Data: The Carrier Intelligence Game

Parade

Starting with Location Data Creating a carrier system of records and intelligence system will be the first step towards freight brokerage digitization. Brokerages must think of an alternative data source outside of tribal knowledge to procure high quality and profitable carrier capacity.

Big Data and Business Intelligence: What You Need to Know

Blue Grace Logistics

‘Big Data’ has become one of the biggest buzzwords lately. While having access to “big data” is all well and good and easy enough if you’re willing to pay for it, turning it into something usable is a different matter altogether. A Little Bit of Big Data.

Data 94

Think Tank 2020: Answering the Tough Questions with Transparency and the Right Data at the Right Time

Transplace

Think Tank 2020: Answering the Tough Questions with Transparency and the Right Data at the Right Time. In 2017, a group of talented Transplace data scientists started on a mission to re-invent reporting for customers. How are you making data actionable within your organization?

Data 52

How to make S&OP meetings a highlight in your team’s calendar

AIMMS

Moreover, without powerful analytics that provide exciting insights – the S&OP process can be too tactical, too data input hungry and a lowlight on stakeholders’ monthly calendars. . Suddenly, S&OP meetings would not be as tedious.

How Retailers Plan to Meet Increasing Delivery Demands of Consumers

LandLink

Shipping News Industry Trends Big DataThere seems to be no end to the demand for nearly instant delivery gratification of today's consumer. Interestingly, price doesn't seem to water down their desire to have what they ordered on their doorstep as soon as possible. In response, retailers are betting big on delivery services to drop off packages faster. Current delivery services are pretty much maxed out on capacity.

Tips For Integrating Computerized Data Collection Systems On The Manufacturing Floor

Cerasis

There’s an art to integrating computerized data collection systems on the manufacturing floor. Here are 5 questions often overlooked when integrating computerized data collection systems, ignore them at your peril. What data needs collecting?

Data 87

Supply Chain Analytics: A Continued & Renewed Focus on Using Data for Improvement

Cerasis

Through the use of connected devices and greater abilities to capture data in real time, the concept of end-to-end visibility and improvement thru the use of supply chain analytics has changed. Business Intelligence Data Supply Chain Technology supply chain analytics

Data 99

What To Do With All of This Data? Robinson Labs Has the Solution

CH Robinson Logistics

One of the most frequent comments I get from customers is: “We have so much data but we don’t know what to do with it.” The team is always looking to push the boundaries of what’s possible to drive smarter solutions – especially those rooted in data science – for our customers.

Data 62

Advanced analytics meets social good: how Angel Flight West optimizes flight routes for families in need

AIMMS

I gave them the parameters and data. The tool Willem built with his students allows us to put the data in, click a button and wait a few seconds to get a feasible plan. What kind of data do you process in the App? We input data through a spreadsheet upload.

Childhood, interrupted: Are we meeting the needs of adolescent mothers?

World Food Programme Logistics

We have stepped up our efforts recently to address data gaps internally and to develop an engagement strategy for adolescents that involves several sectors.” Childhood, interrupted: Are we meeting the needs of adolescent mothers?

Why OmniChannel Solutions are Needed in Shipping & Logistics to Meet Consumer Demand

Cerasis

The push toward a more efficient, data-driven supply chain will result in more competition among companies. E-commerce and omnichannel solutions are rapidly becoming the next frontier in the use of the Internet of Things and better order fulfillment processes.

Advanced analytics meets social good: how Angel Flight West optimizes flight routes for families in need

AIMMS

I gave them the parameters and data. The tool Willem built with his students allows us to put the data in, click a button and wait a few seconds to get a feasible plan. What kind of data do you process in the App? We input data through a spreadsheet upload.

How to Expand Your Global Shipping to Meet Growing Indian Markets

CH Robinson Logistics

Finally, global shipping technology, such as a transportation management system (TMS), can help shippers gather, analyze, and make use of global shipping data— such as standard industry practices, popular routes, and spend trends— to create a data-driven shipping strategy for India.

How to Expand Your Global Shipping to Meet Growing Indian Markets

CH Robinson Logistics

Finally, global shipping technology, such as a transportation management system (TMS), can help shippers gather, analyze, and make use of global shipping data— such as standard industry practices, popular routes, and spend trends— to create a data-driven shipping strategy for India.