ElegantJ BI

MAY 14, 2019

If a business wishes to optimize inventory, production and supply, it must have a comprehensive demand planning process; one that can forecast for customer segment growth, seasonality, planned product discounting or sales, bundling of products, etc. Original Post: Predictive Analytics Use Case: Demand Planning!

Predictive Analytics 130

Predictive Analytics Planning Supply Chain Logistics 130

ElegantJ BI

MAY 14, 2019

If a business wishes to optimize inventory, production and supply, it must have a comprehensive demand planning process; one that can forecast for customer segment growth, seasonality, planned product discounting or sales, bundling of products, etc. Original Post: Predictive Analytics Use Case: Demand Planning!

Predictive Analytics 130

Predictive Analytics Planning Supply Chain Logistics 130

ElegantJ BI

MAY 14, 2019

If a business wishes to optimize inventory, production and supply, it must have a comprehensive demand planning process; one that can forecast for customer segment growth, seasonality, planned product discounting or sales, bundling of products, etc. Learn More: Demand Planning. Customer Targeting.

Predictive Analytics 130

Predictive Analytics Planning Supply Chain Logistics 130

Smart Data Collective

FEBRUARY 3, 2022

Industrial Internet of Things (IIoT) finds application in various spheres, such as production, logistics, trade, healthcare, and transport industry. Logistics and Warehousing. In warehousing and logistics, the tracking platform monitors the movement of equipment or goods in real-time.

Logistics 303

Logistics Healthcare Monitoring Artificial Intelligence 303

Smart Data Collective

JANUARY 27, 2022

To avoid getting into the list of career-field outcasts, take a look at predictions from Skillhub and adjust your plans accordingly. Logistics Expert. A logistics specialist needs to develop the cheapest way to deliver products. Some occupations that used to be in demand five years ago appear unnecessary and low-paid today.

Big Data 329

Big Data Logistics Artificial Intelligence Data Analytics 329

ElegantJ BI

FEBRUARY 28, 2021

That’s why wise businesses use these techniques to plan and forecast and to understand how a change they are considering might impact their business success. Here are just a few of the ways in which you can use predictive analytics to refine your business strategy, discover opportunities and plan for the future.

Predictive Analytics 130

Predictive Analytics Planning Supply Chain Logistics 130

ElegantJ BI

FEBRUARY 28, 2021

That’s why wise businesses use these techniques to plan and forecast and to understand how a change they are considering might impact their business success. Here are just a few of the ways in which you can use predictive analytics to refine your business strategy, discover opportunities and plan for the future.

Predictive Analytics 130

Predictive Analytics Planning Supply Chain Logistics 130

Data Pine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. The complex and ever-evolving nature of logistics makes it an essential use case for big data applications. Did you know?

Supply Chain 110

Supply Chain Logistics Big Data Customer Experience 110

Smart Data Collective

MARCH 14, 2022

Delivery Route Planning for Teams Of Drivers. A deluge of data is created by delivery fleets, so it makes sense that a modern route planning solution will harness this to achieve improvements in efficiency, safety and sustainability. Industry-Specific Operational Improvements.

Big Data 314

Big Data Logistics Monitoring Planning 314

Smart Data Collective

DECEMBER 14, 2020

There might be direct and drop-ship vendors, logistics vendors, packaging vendors, and others – much to organize, manage, and review. Better Planning. Breaking things down like this should increase overall revenue and profitability, as you’ll be more likely to turn leads into buyers and buyers into returning shoppers.

Supply Chain 278

Supply Chain Retail Big Data Logistics 278

Timo Elliott

OCTOBER 19, 2020

I covered 5 concrete steps organizations can take, illustrated with real-world examples: liquidity and cost management, working capital management, operations and logistics, dynamic planning, and human and resource management. Click below to watch the video!

Logistics 179

Logistics Planning Digital Transformation Finance 179

Analysts Corner

FEBRUARY 12, 2024

> Keep reading… 4) Using Large Language Models for New Project Preparation and Planning. by Gabriel Botsie The post outlines how Large Language Models can be utilised by Business Analysts preparing for and planning new projects. Despite its name, logistic regression is not a regression but a classification model.

Logistics 228

Logistics Artificial Intelligence Business Analysis Business Analysis 228

Smart Data Collective

AUGUST 3, 2023

As the logistics sector continues to expand and evolve, blockchain technology is becoming an integral part of supply chain procedures. The logistics industry is prepared for a technology overhaul, and a distributed ledger is the next big thing due to its transparent records, decreased prices, and efficient route information.

Supply Chain 216

Supply Chain Logistics Monitoring Customer Experience 216

Smart Data Collective

NOVEMBER 17, 2021

They have found that data analytics is a valuable component of marketing campaigns , financial planning objectives, human resource guidelines and much more. Insurance, investing, logistics and digital marketing are among some of the professions most affected by big data.

Data Analytics 322

Data Analytics Data Analytics Big Data Logistics 322

Domo

JUNE 4, 2021

Workday Adaptive Planning is the next generation of enterprise planning and analysis software. Built for today’s ever-changing world, this powerful cloud platform helps finance teams plan, model, budget, and forecast so their organizations can make better decisions, fast. Discover the Domo Workday Adaptive Planning integration.

Planning 98

Planning Finance Logistics Business Intelligence 98

Smart Data Collective

MAY 29, 2019

Wearable technology is also providing health professionals with vital information about their patients such as whether they are taking medication or not and following disease management plans. On more logistical grounds, big data also allows helps healthcare managers to improve care and reduce patient waiting times.

Big Data 277

Big Data IBM Maintenance Retail IBM Support 277

Insight Software

JANUARY 4, 2021

Border shutdowns and business closures impacted sales and trade in numerous ways, just as the different government support programs had their own diverse impacts on organizational planning. We should begin with the most obvious: the traditional once or twice a year planning process no longer cuts it for organizations today.

Planning 98

Planning Finance Logistics Government 98

Smart Data Collective

MARCH 28, 2022

Simplifying the logistics. Thus, the platform will store your products in its warehouses and take care of logistics and shipping. For instance, the number of customers who chose the Prime plan from the fourth quarter of 2019 to the first quarter of 2021 increased from 150 million to 200 million.

E-Commerce 289

E-Commerce Big Data Logistics Data Analytics 289

Smart Data Collective

MARCH 28, 2019

According to research cited by ZDNet, 30% of organizations actively collect big data and plan to utilize it for their operations. Manufacturing (72%), Logistics & Transport (66%), and IT & Technology (63%) respondents were most likely to report implementing, or planning to implement, big data.

Big Data 229

Big Data Logistics Healthcare Monitoring 229

Fingent

JANUARY 19, 2021

The logistics and supply chain market is predicted to experience most complexities this 2021, especially with the COVID-19 vaccine distribution. Here are ways to enable smooth logistics operations, even amidst the chaos!

Supply Chain 52

Supply Chain Logistics Planning Digital Transformation 52

Astera

DECEMBER 3, 2024

Take logistics and transportation, for example, where companies process hundreds of thousands of documents daily to keep the goods in motion and the supply chain functional. So, what are logistics companies doing to handle such a vast number of documents? And that brings us to the document processing challenges in the logistics sector.

Logistics 52

Logistics Documentation Supply Chain Artificial Intelligence 52

Smart Data Collective

MAY 8, 2022

Early on, shipping conglomerate Maersk and tech giant IBM came together to create TradeLens, a global blockchain-based cargo logistics platform. Among other things, the transparent nature of blockchain is helping shippers provide up-to-the-minute data to retailers for use in their inventory management planning.

Government 245

Government Supply Chain Human Resource Management Logistics 245

ElegantJ BI

JUNE 13, 2017

A lot of folks in middle management in finance, sales and logistics think that this is not about them. As the system’s ability to decide based on experience expands, the compression in jobs which use past information to make plans, communicate or act will accelerate. I am using Area sales manager in Insurance as an example.

Banking 195

Banking Logistics Finance Planning 195

Smart Data Collective

APRIL 24, 2019

In recent research, 67 percent of executives from various manufacturing companies indicated that they had plans to invest in big data. Now, consider the benefits of applying logistical analytics to the bigger picture, from top to bottom.

Supply Chain 255

Supply Chain Big Data Data Analytics Data Analytics 255

Analysts Corner

JANUARY 11, 2025

The process of prescriptive analysis [own elaboration] As an example, a logistics company uses prescriptive analytics to optimize delivery routes. Mount Sinai Health System: Utilized analytics to improve patient outcomes by predicting high-risk patients and optimizing treatment plans[8].

Big Data 130

Big Data Business Analysis Business Analysis Predictive Analytics 130

BizAcuity

NOVEMBER 15, 2022

This is why it is also called real-time pricing and is widely used in logistics, the industry most affected by volatile market conditions. Dynamic pricing is used to strategically sell to different kinds of customers, especially by seasonal planning (holiday pricing, surge in demand pricing etc.), and by product life-cycle.

E-Commerce 246

E-Commerce Logistics Digital Planning 246

Smart Data Collective

JULY 19, 2019

Comarch is known around the world, as a trusted, innovative provider of IT products and services in sectors as varied as healthcare, finance, automotive, retail, transport and logistics, to name just a few. Thanks to experience in the telecommunications industry, gained over many years, Comarch understands the value of customer focus.

Big Data 200

Big Data Retail Artificial Intelligence Logistics 200

Smart Data Collective

NOVEMBER 24, 2022

Instead, you will need to connect with other businesses, working out supply chain logistics , manufacturing deals and more. It’s likely you’ll need legal translation at some point too – particularly around contract law or employment law – so be sure to factor that into you plans.

Big Data 301

Big Data Supply Chain Documentation Innovation 301

Smart Data Collective

SEPTEMBER 27, 2023

Your plan could include an initial blitz campaign for a new product launch. Mapping out all the logistics can take the skills of a traffic cop. Optimize Media Buying Marketing strategies involve deciding where to place ads and content. You need to know where to best reach your target market.

Logistics 261

Logistics Data Management Planning Artificial Intelligence 261

Smart Data Collective

MARCH 26, 2019

Cloud technology is changing the logistics of many traditional hosting plans. Since hosting plans directly impact websites’ profits, choosing between shared vs WordPress hosting is a crucial decision. Leetaru notes that big data and cloud technology have led to the evolution of web hosting services.

Big Data 216

Big Data Cybersecurity Logistics Planning 216

GAVS Technology

SEPTEMBER 13, 2021

In past few years, AI has proved transformational for numerous industries, including the manufacturing and logistics industry. AIOps (Artificial Intelligence for IT Operations) is being used by manufacturing and logistics firms to improve their productivity. How AIOps is used in the logistics industry?

Logistics 52

Logistics Supply Chain Monitoring Artificial Intelligence 52

Timo Elliott

MARCH 6, 2023

He also mentions ASR Group using machine learning to optimize routes for sugar delivery to their 600 customers, reducing logistics costs. He gives examples of how businesses are using AI to turn anything into a sensor and detect patterns in new ways, such as in the case of Avan Grid increasing the speed of power grid repair by 30%.

Artificial Intelligence 278

Artificial Intelligence Innovation Supply Chain Logistics 278

ElegantJ BI

NOVEMBER 16, 2021

Techniques include: Time Series Forecasting (Holt Winters, Single, Double, Triple, Box Jenkins, ARIMA and ARIMAX) Regression (Simple and Multiple Linear) Classification (Naïve Bayes, Decision Tree, K-Nearest Neighbor, Multinomial Logistic Regression, Binary Logistic Regression and Support Vector Machine) Association (Frequent Pattern Mining) Correlation (..)

Predictive Analytics 130

Predictive Analytics Logistics Planning Business Intelligence 130

ElegantJ BI

NOVEMBER 16, 2021

Techniques include: Time Series Forecasting (Holt Winters, Single, Double, Triple, Box Jenkins, ARIMA and ARIMAX) Regression (Simple and Multiple Linear) Classification (Naïve Bayes, Decision Tree, K-Nearest Neighbor, Multinomial Logistic Regression, Binary Logistic Regression and Support Vector Machine) Association (Frequent Pattern Mining) Correlation (..)

Predictive Analytics 130

Predictive Analytics Logistics Planning Business Intelligence 130

ElegantJ BI

NOVEMBER 16, 2021

Classification (Naïve Bayes, Decision Tree, K-Nearest Neighbor, Multinomial Logistic Regression, Binary Logistic Regression and Support Vector Machine). Techniques include: Time Series Forecasting (Holt Winters, Single, Double, Triple, Box Jenkins, ARIMA and ARIMAX). Regression (Simple and Multiple Linear).

Predictive Analytics 130

Predictive Analytics Logistics Planning Business Intelligence 130

Smart Data Collective

AUGUST 9, 2023

Optimize Recurring Sources of Income Firms that make use of subscription plans or intermittent ordering workflows can rely on insights derived from their revenue analytics to calculate the average term length their customers buy into.

Data Analytics 222

Data Analytics Data Analytics Artificial Intelligence Logistics 222

Smart Data Collective

SEPTEMBER 8, 2020

Companies have been able to log data on product movement and, by analyzing these, they are able to streamline many of their logistics processes. Companies can use insights from the data to better plan routes. Supply chains, for instance, have greatly benefited from these efforts.

Supply Chain 217

Supply Chain Logistics Monitoring Healthcare 217