Demand Management Solutions Continue to Consume More and More Data!

Logistics Viewpoints

Many of these forecasts depend upon having more data. But gradually new data sets were added that improved the forecasting accuracy. A demand management application can truly be a Big Data solution today. The post Demand Management Solutions Continue to Consume More and More Data! Demand Management Big DataThere are a lot more demand forecasts being made today at companies then their used to be.

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Putting Your Data to Work

Supply Chain Brain

If your CEO or CIO were to ask you how you are helping your organization use data to your advantage, what would you say

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Big Data And Your Carrier Profile

LandLink

Our industry is solidly in the realm of "Big Data". Big data is like any other data except there are massive amounts of it available from which your transportation providers estimate your overall value as a customer. The application of this data is known as predictive analysis.

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The Citizen Data Scientist

Logistics Viewpoints

One of the terms he uses is the “citizen data scientist.” The post The Citizen Data Scientist appeared first on Logistics Viewpoints. Mike Guilfoyle of ARC has been doing some interesting writing on predictive analytics. I like the concept, and will explain Mike’s thinking in this article. But let me provide a little context first. It would be easy for a supply chain executive, or any business manager, to ask what is the difference between “predictive analytics” and “forecasting.”

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How Automation in the Supply Chain Will Make Employees More Strategic & Improve the Overall Supply Chain

Speaker: Adam Robinson, Director of Marketing, Cerasis

Using Automation Driven Data for Improved Actionable Insights.

The Role of Data Inaccuracy in Poor Omnichannel Experiences

Cerasis

Poor data quality and accuracy are two of the most significant risks to omnichannel experiences. Applying the wrong data can result in poor omnichannel experiences and tarnish your brand. Supply chain leaders need to understand this fact and how to avoid risk.

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Modernizing the Exchange of Supply Chain Data

Kane is Able

Actually, I’ve been surprised at the extent to which the exchange of supply chain data in the logistics world remains old-school or simply manual. About 15 years ago, I changed industries from healthcare to logistics. As I am an IT professional, you might think it was a jump from an antiquated, paper-based world to a high-speed, technologically advanced one.

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Data Analytics and Artificial Intelligence for Cognitive Procurement

SIPMM Professional Publications

Data analytics is the process of examining data sets in order to draw conclusions about the information they contain, increasingly with the aid of specialized systems and software.

KeepTruckin to leverage ELD data for freight matching, detention pressure

247 Customs Broker

KeepTruckin, provider of one of the most popular electronic logging devices, said this week that it is using its customers’ ELD data and a brokerage acquisition to expand into freight-matching and related services.

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Using Data to Establish Accurate Pricing and Operational Efficiencies

LandLink

Integrating Data Your Pricing Strategy As data continues to proliferate right along with the number of technology tools to help harness that data, companies are learning how to leverage that information across multiple departments for maximum success.

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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).

Big Data in Logistics

Talking Logistics

There are many buzzwords in the supply chain and logistics industry today, and perhaps there’s none bigger than “Big Data.” Everybody talks about it, but what does Big Data really mean? When it comes to leveraging Big Data effectively in your organization, where do you begin? What is Big Data? Like many buzzwords, Big Data means different things to different people. Big Data is not a Technology. This is true with Big Data too.

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Managing E-Commerce Fulfillment Spikes With Data Analysis

Cerasis

This creates a major problem for managing e-commerce fulfillment when orders spike and shippers need to understand how data analysis may help. Disjointed systems and data silos, creating delays in processing and deficiencies in visibility. Data E-Commerce Logistics

How Can Data Improve Supplier Decisions?

Cerasis

A growing trend across all industries has been the application of big data , with the use of algorithms and the hiring of data scientists becoming commonplace. Data, Data, Everywhere… but Make Sure your Drinking from the Right Hose. Data Logistics Supply Chain

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Data Warehousing for Integrated Logistics

SIPMM Professional Publications

The post Data Warehousing for Integrated Logistics appeared first on SIPMM ACADEMY. The time when it was enough to just move goods from point A to point B, passed a long time ago.

Parts Town: An O2C Journey from Manual Processing to Digital Transformation

Speaker: Sarah Gibson, Platinum Operations Manager

Increased focus on customer service activities rather than data entry. The order-to-cash (O2C) process is often considered the lifeblood of an organization.

Channelling big data into connected services at Toyota

Automotive Logistics

Toyota is garnering telematics data every ten seconds from the 9m vehicles it produces annually to transform itself into a future mobility services provider still relevant to a vehicle market undergoing some seismic changes. News Regular story IT Toyota Big data Digitalisation SMMT

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The Data Needed to Transform Supply Chains

Talking Logistics

Again and again, digitization and data were at the heart of panel and networking conversations. Even headline speakers were professing “data got sexy” and data is now a core strategy for companies looking to succeed. and “What are we using the data for?”

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How to Improve Manufacturing Floor Data Collection

Cerasis

Here’s how you can improve manufacturing floor data collection, long-term. A key component of any manufacturing process is data collection. However, are you starting to outgrow your manufacturing floor data collection system ? Improving Manufacturing Floor Data Collection.

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Using Data to Improve Supply Chain Operations

Material Handling and Logistics

Learn how to organize your data operations in alignment with supply chain strategy. Complex supply chains generate more data, which companies can use to drive greater efficiency or engage in innovation that disrupts an entire industry—think Amazon. Generating Value from Data.

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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. to struggle with disparate data. The next. wave of. AI-led. recruiting Four ways machines are enabling their.

Before You Hire a Logistics Data Scientist

Talking Logistics

As more supply chain data is generated and collected, there’s growing demand for data scientists in the industry. “We’re We’re increasing the number of data scientists we’re hiring,” said Linbloom.

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Supply Chain Big Data: Why Supply Chain Leaders Are Using Big Data Analytics

Cerasis

Thanks to data gathering programs, supply chain software , and data entry applications, this represents a mountain of data, which has the potential to provide ground-breaking insight into how to improve business-model efficiency. As a result, business leaders can reap a significant return on investment by thoroughly analyzing this data. What Is Supply Chain Big Data? Supply Chain big data is the ultimate compilation of data gathered in the course of business.

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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.

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Using Big Data to Improve Your Supply Chain

Logistics Viewpoints

The term “big data” has been one of the hottest buzzwords over the last couple of years, and that’s not a big surprise. Statistical science and data analytics can help organizations (of any size and type) obtain historical measurements and generate actionable information that increases supply chain visibility, drives operational efficiency and supports overall growth. But knowing the importance of having access to data is only the first step.

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Key Questions for a Successful Distribution Network

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

Can we use historical data to plan for demand and design our networks, or is there a better way? You'll leave knowing what data you can start collecting today to answer these questions.

[Infographic] Big Data Analytics in Supply Chain

Cerasis

Editor's Note: Today's blog is from our friend Derrick Rehn with FusionOps who shows us how big data analytics can benefit you in your supply chain. . The inevitable question that comes up often is simple – should we build on-site or utilize a cloud-based data monitoring service ?

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Using data-driven products to tackle carrier capacity fluctuations

Transporeon

Our pilot initiatives are based on a new data-driven product called the Transporeon Connecting Load Agent (CLA). Our aim is to provide customers with increasing levels of automation, drawing on our unique reserves of relevant big data.

How Data Is Enabling the Supply Chain of the Future

Supply Chain Brain

Manufacturers lose billions of dollars every year due to lack of visibility into vital shipment data

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Overcoming Retailers Delivery Requirements with Data Reporting

Transplace

Overcoming Retailers Delivery Requirements with Data Reporting . The main goal of the report is to help CPG companies better understand how their delivery performance compares to industry peers, and enables businesses to use timely market data to drive improvement within their supply chains.

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Smarter Networks for Customer Fulfillment

Speaker: Hannah Testani, COO, Intelligent Audit

Join Hannah Testani, COO of Intelligent Audit, as she takes us through the reasons why your shipping could cost so much, and how to use big data and digital transformation to move the needle on your transportation spend. The real ROI of accessible data.

Transportation Data Monitor

Material Handling and Logistics

CAS Data Logger has introduced the TDL110 Transport Data Logger from Bosch for monitoring and recording data during transportation and storage of sensitive items

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[INFOGRAPHICS] How Manufacturing Data Will Transform The American Manufacturing Industry

Cerasis

This article will focus on the proliferation of manufacturing data available in the industry, and how this data can improve business decisions. The Rise Of Manufacturing Data Analysis. This process is referred to as ‘data cleansing.’ Types Of Data To Collect.

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Cost-Effective Parcel Execution Starts with Data … All the Data

Logistics Viewpoints

Sadly, even as shipping costs are increasing at more than twice the rate of inflation, all of this data is locked […]. The post Cost-Effective Parcel Execution Starts with Data … All the Data appeared first on Logistics Viewpoints. There are hundreds of thousands of 3rd party and carrier-provided shipping systems in circulation like label-printing cash registers cha-chinging in warehouses all over the world.

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Cold Chain Data Logger

Material Handling and Logistics

Cole-Parmer has introduced the Digi-Sense TraceableOne Single-Use USB Temperature Data Logger with Calibration

Building AI to Unlearn Bias in Recruiting

anecdotal data points (e.g., This means that if incorrect data. — or more likely insufficient data — is fed in, the. and is now evaluating large amounts of data that were not earlier methodically. Building AI to Unlearn Bias in.