Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

RPA is increasingly adopted within the supply chain to take over mundane and repetitive tasks such as managing shipping data , filing paperwork, answering general FAQs, entering data, reading and responding to emails, and performing other basic tasks. Why Shippers and Carriers Struggle With Managing Shipping Data. Supply chain technologies are now focusing on logistical planning and shipping data management in order to improve functionality and address issues in real-time.

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Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

RPA is increasingly adopted within the supply chain to take over mundane and repetitive tasks such as managing shipping data , filing paperwork, answering general FAQs, entering data, reading and responding to emails, and performing other basic tasks. Why Shippers and Carriers Struggle With Managing Shipping Data. Supply chain technologies are now focusing on logistical planning and shipping data management in order to improve functionality and address issues in real-time.

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TEST Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

RPA is increasingly adopted within the supply chain to take over mundane and repetitive tasks such as managing shipping data, filing paperwork, answering general FAQs, entering data, reading and responding to emails, and performing other basic tasks.

6 Benefits of Applying Useable Data in Logistics For Continuous Improvement

GlobalTranz

Today we will go into detail on using the available data created in the processing of shipments within transportation management and other related logistics management for continuous improvement. . 6 Benefits of Using the Right Data in Logistics & Transportation Management for Continuous Improvement. Shipping processes revolve around a million-trucks-worth of data. Take a look at how your data can be used for continuous improvement across your organization.

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TEST Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

RPA is increasingly adopted within the supply chain to take over mundane and repetitive tasks such as managing shipping data, filing paperwork, answering general FAQs, entering data, reading and responding to emails, and performing other basic tasks. Why Shippers and Carriers Struggle With Managing Shipping Data. Trying to meet current market demands with obsolete systems is an exercise in futility, and that is causing many shippers, carriers, and forwarders to struggle.

TEST Shipping Data: How Machine Learning, AI, Automation & Chatbots Create Hyper Efficiency

RPA Labs

RPA is increasingly adopted within the supply chain to take over mundane and repetitive tasks such as managing shipping data, filing paperwork, answering general FAQs, entering data, reading and responding to emails, and performing other basic tasks. Why Shippers and Carriers Struggle With Managing Shipping Data. Trying to meet current market demands with obsolete systems is an exercise in futility, and that is causing many shippers, carriers, and forwarders to struggle.

Are your L&D programs reaping the outcomes you need?

UL EHS- Sustainability

But when organizations are unsure of the root cause of an operational issue, assigning employee training can offer dramatic insight and measurable data leading to enhanced performance, improved production and even internal cost savings. A training needs analysis (TNA) will identify where employee training can make a meaningful contribution towards improving performance. Valuable data also comes from auditing pre-training performance as compared to post-training performance.

Supply Chain Management:Importance of Proactive Master Data.

Infosys Supply Chain Management

Cloud & Big Data. « Collaborative Platform for Enterprise of Future | Main | Key Asset Management trends in Oil & Gas Industry » Importance of Proactive Master Data Maintenance in SAP SCM Support. We conducted a thorough analysis of these concerns & compared results in different geographies. These 3 master data elements contributed to almost 50-60% of planning issues. This exercise was done before the monthly planning cycle start. About Us.

Daimler, Navistar, Volvo ordered to report autonomous truck crashes

The Supply Chain Journal

By mandating crash reporting, the agency will have access to critical data that will help quickly identify safety issues that could emerge in these automated systems,” said NHTSA Acting Administrator Steven Cliff. “In

Protecting Freight From Cargo Theft with Technology

Blue Grace Logistics

Specialized data analysis firms such as Cargonet have found that cargo theft is peaking and the losses being suffered by manufacturers, shippers, and logistics service providers have reached historic highs.

How much stuff is enough?

Logistics in War

The key is effective data analysis, trusted modelling tools and a systematic approach that provides total visibility across the entire supply network. by Air Commodore Hayden Marshall (Ret’d).

Questions remain over feasibility of White House testing goals

The Supply Chain Journal

The impact: Without more detail, any prediction about the impact of the White House’s COVID-19 policy is basically an exercise in crystal ball gazing. An analysis from the COVID Tracking Project suggests states may be undercounting antigen tests.).

Intelligent Automation, the Future of Supply Chain. Is the Logistics Industry Ready?

Blue Grace Logistics

It will enable data sharing among all functions, highlight errors and outliers in the data, and speed up data analysis thus increasing efficiency, improving accuracy and lowering operating costs. Intelligent automation can be used to add checks at all data entry points to make sure that only verified and correct information enters the system and is available to all stakeholders on demand. Refined Analytics: Logistics is a data-intensive function.

Supply Chain Management:A New Lens for Supply Chain Roadmaps

Infosys Supply Chain Management

Cloud & Big Data. They expand into an analysis of revenue-accruing & cost-optimizing functions, and result in the identification of capabilities that the organization aspires to develop or enhance. The resulting solution set focuses on master data management, demand planning and replenishment management systems, and the sequence in which they must be implemented. Enterprise transformations are a multi-year exercise in the making. About Us. Contact Us.

Stranger things: Air cargo becomes value play over ocean freight

The Supply Chain Journal

Mode conversion for international freight is one factor in the air cargo market’s 14 consecutive months of growth, according to new data released Wednesday. loss of capacity from the available fleet in April, according to analysis by Sea-Intelligence.

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Getting started with AI in Logistics

Logistics Trends and Insights

There is simple five step qualifier for this: Is this a high-frequency and data-driven decision? Is the workflow around the decision mature and has a well understood ROI from better decision outcomes? Do we have complete, accurate, timely, and consistent data for inputs? Can we quickly and accurately judge the decision outputs against a goal? Can we tolerate the costs of some mistakes? It is a high-frequency decision that should be data driven.

Vendor Managed Inventory Model for Supply Chain Cost Reductions

GlobalTranz

Below I will outline how a vendor managed inventory model, in conjunction with reverse marketing, value analysis, and collaboration will achieve supply chain cost reductions. The manufacturer has access to the distributor’s inventory data and is responsible for generating purchase orders. Vendor Managed Inventory Model : The manufacturer receives electronic data ( usually via EDI or the Internet) that tells him the distributor’s sales and stock levels. What is Value Analysis?

Happy New Year: Here’s the 7 things shippers need to know about the Q1 2021 freight market

FLS Transport

And while retailers were able to modestly re-stock going into peak, data now shows that they lack adequate inventory. One data point shows inventories declined 9% year-over-year while sales increased 9%. But most the analysis shows the market softening in the second half.

Large Shipping Losses Have Declined 38% over Past 10 Years

Material Handling and Logistics

and China conducting naval exercises. By analyzing data 24/7 we can gain insights from crew behavior and near-misses that can identify trends. The shipping industry has learned from losses in the past but predictive analysis could be the difference between a safe voyage and a disaster.". There were 94 total losses reported around the shipping world in 2017, down 4% year-on-year -- the second lowest in 10 years after 2014.

The realities of logistics and strategic leadership: lessons from the ADF’s senior-most logisticians – Part 1

Logistics in War

Strategic failures emerge when ‘thinkers’ are separated from ‘doers’, ‘strategists’ from ‘planners’ and ‘soft data’ from ‘hard data’. Rather than using intuition to inform decisions, people often retreat behind analysis to avoid choosing between difficult options. Even if analysis is used to inform judgements, decisions at the highest level will tend to be intuitive and influenced by a range of factors. By David Beaumont.

Cost To Serve – A Smarter Way to Improved Supply Chain Profitability

Logistics Bureau

Too much leads to resources being monopolised on gathering tons of data and a subsequent risk of “paralysis by analysis” Cost to Serve (CTS) is an approach that helps you avoid both extremes. If profits start to decline afterwards, your CTS data can offer valuable information about what changed and how to get back on track. Collecting and Using Cost to Serve Data. Cost to Serve data and modeling benefits are sometimes deceptively simple.

The realities of logistics and strategic leadership: lessons from the ADF’s senior-most logisticians

Logistics in War

Strategic failures emerge when ‘thinkers’ are separated from ‘doers’, ‘strategists’ from ‘planners’ and ‘soft data’ from ‘hard data’. Rather than using intuition to inform decisions, people often retreat behind analysis to avoid choosing between difficult options. Even if analysis is used to inform judgements, decisions at the highest level will tend to be intuitive and influenced by a range of factors. By David Beaumont.

Supply Chain Cost Reduction Opportunities

Triskele Logistics

Whether you are managing them yourself, or have outsourced the management of your supply chain, it's a really good exercise to understand how it all works. Analysis paralysis can slow you down. Good data is helpful so going to the source (your invoices) gives you the real total costs. Don't base your analysis on the rate provided, there are often other charges that need to be taken into consideration. How can you reduce your supply chain costs?

Where Does Supply Chain Design End and Planning Begin? (Takeaways from LLamasoft’s SummerCon 2017 Conference)

Talking Logistics

The first one arrived a few years ago when a growing number of companies started treating supply chain design as a continuous business process instead of a standalone project or a once-a-year exercise. As I wrote two years ago in my supply chain and logistics predictions for 2015 : Historically, Supply Chain Design was an exercise companies undertook at most once a year, or when a significant change occurred in their supply chain, such as an acquisition.

Condition Monitoring- A Case Study-Part II

Infosys Supply Chain Management

Though late, but when they decided to run through past condition data they found a substantial evidence- A high copper concentration in the hydraulic oil. The oil sampling results had been showing increased copper levels but neither the field engineer who were reporting the data nor the bosses sitting in the head office caught the spike. The purpose is sometimes not known well, as in this case the maintenance teams were completely cutoff from the mainstream use of the Asset data.

Mitigating the risk of quarantine and COVID-19 testing for seafarers

Shipping and Freight Resource

Unpublished data from one clinic has found that 1% of tests done in seafarers planning to join a ship were positive and these seafarers were successfully prevented from travelling to, and joining, the ship. Periods of planned outdoor exercise are essential and must be facilitated.

The realities of logistics and strategic leadership: lessons from the ADF’s senior-most logisticians

Logistics in War

Strategic failures emerge when ‘thinkers’ are separated from ‘doers’, ‘strategists’ from ‘planners’ and ‘soft data’ from ‘hard data’. Rather than using intuition to inform decisions, people often retreat behind analysis to avoid choosing between difficult options. Even if analysis is used to inform judgements, decisions at the highest level will tend to be intuitive and influenced by a range of factors. By David Beaumont.

Condition Monitoring- A Case Study-Part II

Infosys Supply Chain Management

Though late, but when they decided to run through past condition data they found a substantial evidence- A high copper concentration in the hydraulic oil. The oil sampling results had been showing increased copper levels but neither the field engineer who were reporting the data nor the bosses sitting in the head office caught the spike. The proactive nature of the CM emphasizes on the Root Cause Analysis element of the maintenance.

Condition Monitoring- A Case Study-Part I

Infosys Supply Chain Management

What do we need for a successful condition monitoring, heaps of operational data? Knowhow of slice and dice data analysis, possibly true but in my opinion these are not comprehensive enough. Here''s presenting the case study of how a seemingly workable condition monitoring exercise can possibly go wrong. Being critical equipment, it was a mandate to practice detailed documentation of operational and condition monitoring data for these equipment''s.

How to Get Your Forklift License: The Ultimate Guide [New in 2020]

Conger

This portion of training must consist of “demonstrations performed by the trainer and practical exercises performed by the trainee” [OSHA standard 1910.178(l)(2)(ii) ]. What a “data plate” is and how to read one. If you’re looking to get your forklift license, now is a great time. .

11 Golden Rules for Meaningful Supply Chain KPIs

Logistics Bureau

Another alternative is to restrict your entire KPI suite to around ten metrics, a practice that will save you and your colleagues from analysis paralysis. Don’t get me wrong here; off-the-shelf KPIs can serve a useful purpose, for example, when used for external benchmarking exercises.

For Your Supply Chain KPIs to be Meaningful, Apply Some Golden Rules

Logistics Bureau

In an attempt to help you keep your supply chain organisation from analysis paralysis, metric manipulation, or measurement misnomers, I decided to use this post to share nine important guidelines, or golden rules, for benchmarking your business and monitoring performance using meaningful supply chain KPIs. Another alternative is to restrict your entire KPI suite to around ten metrics, a practice that will save you and your colleagues from analysis paralysis.

Logistics KPIs Case Study: Whirlpool’s Supply Chain and Logistics Success Driven by Effective KPI Implementation

GlobalTranz

This exercise prompted Whirlpool to question whether having a single logistics provider was the best structure to exceed customer expectations and maximize cost savings. After completion of its customer-centric supply chain analysis, Whirlpool knew innovation was necessary to maintain a competitive advantage. This function focuses on RFP financial analysis, the annual business plan, carrier and provider financial audit, financial reports and statement consolidation.

7 Reasons Why the Supply Chain Matters to Business Success

Logistics Bureau

If your supply chain network design has not been under the microscope, and you care about business success, it’s probably time to consider the benefits of a design review and optimisation exercise. As a result, the newly merged company developed a systematic methodology for network design optimisation, based on the following four principles: A continual process of high-powered modelling and network design analysis.

8 Reasons Why Your Business’ Success Depends Upon Your Supply Chain

Logistics Bureau

If your supply chain network design has not been under the microscope, and you care about business success, it’s probably time to consider the benefits of a design review and optimisation exercise.