Investing in data management can help your DC run smoother. However, you shouldn’t quit once you’ve rearranged a few aisles. Take your learnings from fulfillment and use them to encourage greater data investment in all aspects of your operation.
Here's how Disney is leveraging technology and big data to make visitors' experiences magical.
Freight agents rely on technology to maintain the daily operations of their businesses. But how are they using data gathered from technology to drive growth?
Constant optimizations drive transportation and logistics (T&L) processes. To compete in this ever-evolving sector, you need to be able to take full advantage of the data at your disposal.
Artificial intelligence (AI) use is accelerating as more businesses look to make the digital transformation leap. Here are three areas in global logistics where AI will be the most impactful.
Here are some of the Key Performance Indicators (KPIs) that companies can use to improve supply chain visibility, cut transportation costs, and improve parcel shipping service.
Cloud-based deployments can remove IT obstacles and accelerate the launch of supply chain initiatives. However, are the advantages of cloud deployments for supply chain solutions real and worthwhile?
Retailers and manufacturers can unlock significant competitive advantage by leveraging consumer insights to make category decisions and create localized merchandising assortments.
The ultimate way to transform logistics is by improving efficiencies through the help of IoT, analytics, and intelligent platforms that run independently. Here's a look into the future.
Use this advice to get the most out of your big data.
Winter provides a great advantage–time. The hustle and bustle of the holidays is over and colder weather prevails. There’s no better time to hit the books and amp up your knowledge of important logistics and supply chain management issues.
Profile of Joanne Wright, Vice President of Supply Chain, IBM
Get ready for a supply chain paradigm shift. These technologies will cause shippers to rethink cost-cutting measures and rewrite logistics strategies.
Profile of Doug Waggoner, CEO and chairman, Echo Global Logistics
Supply chain planning systems can greatly benefit from combining artificial intelligence techniques so they become more intelligent, dynamic, and user-friendly.
When you break down big data, new types of data is found that can be used to benefit customers and build a stronger advantage competitively.
Profile of John Fay, CEO of the electronic supply chain platform, INTTRA.
The cornerstone of collaborative logistics is timely visibility. Data about orders, inventory, transportation, and spend need to all funnel into a common denominator big data repository and be readily accessible.
From well-designed redundancies across intermodal shipping methods to creative solutions when the unexpected happens, Georgia’s logistics industry is positioned to help shippers connect, compete, and grow.
It's important to stay up to date on supply chain and logistics developments. Here's a list of books on wide ranging topics.
The Internet of Things is bringing major changes to the way companies plan and execute supply chain activities as sensors, communications systems, and analytics solutions all become cheaper, faster, and more capable.
To grow and evolve, shippers of all sizes need the high-quality data provided by modern technologies.
Cloud computing, omnichannel management, and big data are the questions. Can your warehouse supply the answers?
The confluence of faster data access, better analytical tools, and data-driven business decisions, make it more likely that future supply chain optimization will be continuous.
Predictive modeling and big data help develop efficient shipping solutions to lower shippers’ freight spend and overall supply chain costs.
Many transportation and logistics professionals hear outsourcing and think offshoring, but there is a big difference.
Many industries use supply chain analytics to drive insight, make better business decisions and verify or disprove existing models or theories.
Real-time technology can help shippers keep abreast of high-impact incidents around the world and provide extra time and context to activate their supply chain risk mitigation strategies.
Companies are turning “big supply chain data” into real insights that improve efficiency, bring products and services to market faster, and deliver differentiating customer value, all of which are key to remaining competitive in the new digital economy.
The age of the digital supply chain is here. And yet, even with technology investments on the upswing, not every company is moving along the digital path at the same pace. Are you up to speed?
Digital transformation is truly underway in manufacturing. While digital technologies such as cloud, mobile, big data and analytics, and Internet of Things have been industry drivers for years, manufacturers now have high expectations for the business value of technologies that are in earlier stages of adoption.
The Search for a Connected Supply Chain
By developing a more holistic view of company operations, businesses can then turn to the channel community to identify real-world, impactful applications for blockchain.
New supply chain services and solutions
3PLs and tech providers can empower ethical supply chains, winter warehouse tips, what is most important to carriers when working with shippers, Fleet Advantage 2018 benchmarking survey reveals fleet operators pulse about rising fuel and maintenance and electric trucks, female high school students, findings from 2019 Third-Party Logistics Study, Forrester forecasts that companies will spend $434.9 billion to run IoT solutions by 2023, startup aims to make robots safe around factory workers, conditions ripe for multistory warehouses, automated material handling equipment market to exhibit significant growth during 2018–2024
Among the next-gen technologies set to affect the supply chain, blockchain and artificial intelligence are rapidly emerging with potential for significant impact.
Technology is the backbone of today's logistics systems, and shippers want to make the right choices for mission-critical systems.
Despite its criticality, most companies are very poor at supply chain planning. Here’s a recipe for dealing with complexity and deploying a set of world-class supply chain planning capabilities.
Blockchain allows shippers and other supply chain participants to collaborate in a new way, removing significant costs—both hard and soft—out of the supply chain. Here’s how.
Right now, there is a disconnect between shippers, carriers, and customers that does not allow for blockchain and deep analytics to be applied. A better platform for collaboration throughout the industry will drive growth and the overall success of the logistics sector.
Blockchain adoption is not as swift as it seems. The industry giants leading the charge are backing closed, permission-based blockchain initiatives, which are bound to limit their effectiveness in the long run. Here’s how to unleash the full potential of blockchain.
IoT is creating amazing opportunities for supply chain stakeholders to process data and automate environmental interactions in new ways. Here’s how to manage security risks.
Cloud technologies support innovative supply chain solutions that deliver the right goods to the right place at the right time—as quickly and cost effectively as possible. Here’s why supply chain managers should look to the cloud now.
Manufacturers embrace IIoT to improve quality and operational visibility.
With more and more companies hopping on the AI bandwagon, the technology will affect supply chain planning across industries. Find out which verticals have the most to gain and how supply chain managers can make smarter decisions.
Digital Transformation (DT) is coming of age. Eighty percent of respondents to a recent IFS Digital Change Survey see themselves as “enabled”, “enhanced” or “optimized” to leverage DT.
Whether your company is a manufacturer, retailer, distributor, or in e-commerce, the future is happening now, automagically. IL publisher Keith Biondo explores IoT and the Internet of Everything.
Managing a business for sustained growth means finding and implementing innovative solutions to the challenges of complex supply chain logistics. To achieve lasting, repeatable innovation, check out these real-world solutions.
Sometimes, for even the most critical shipments, the shipper receives information for only two data points: when the shipment left their hands and confirmation the shipment has arrived. Here's why so-called black box shipping is on its way out.
Digitization is rapidly transforming the ocean container shipping industry. Here’s how to prepare.
Enabling a data-driven approach with forethought to the unique aspects of a network can provide shippers with new efficiencies that saves them money while still satisfying their customers. Transportation used to simply be about execution, now it’s a competitive advantage.
Fleets today deal with a huge volume of data — more than they’ve ever collected before — pouring in from ELDs, dashcams and other trucking technology. It’s a double-edged sword. Data has become indispensable because it provides key insights that help inform critical business decisions and, used properly, can boost productivity and minimize expenses.
Profile of Mark Baker, chief technology officer of Pilot Freight Services.
Organizations must have the right processes and strategies in place in order to access that data, analyze it, and then make it actionable.
Use these 10 tips to get the most out of big data.
Seeing what’s happening throughout the supply chain is essential in today’s always-on, omnichannel shipping environment. Here’s how businesses can gain the insight and control they need as they move their goods around the globe.
Is more always better? When it comes to a shipper's supply chain and big data, more data doesn't necessarily equate to better productivity. How you leverage and utilize the influx of data is what's key. Use these tips to utilize big data to drive performance in their supply chains.
Many companies handle supply chain anomalies with reactive planning systems, but this approach leaves them vulnerable to disruption. One new approach to dealing with supply chain uncertainty is to use machine learning to predict what might go wrong.