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

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

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

Astera

JULY 18, 2023

This significant growth is a testament to the transformative power of EDI in revolutionizing dispatch and delivery processes in the logistics industry. EDI trucking is the electronic exchange of business data between logistics partners, enabling seamless communication and collaboration throughout the supply chain.

Logistics 52

Logistics Supply Chain Documentation Real-time Data 52

Smart Data Collective

SEPTEMBER 2, 2022

Operational data refers to the way the business runs, including shipping and logistics, and customer relationship management. The post Creative Ways to Leverage Big Data for an Optimal Marketing Plan appeared first on SmartData Collective. After all, if you don’t know who you are marketing to, how can you expect to receive results?

Big Data 305

Big Data Planning Data Mining Logistics 305

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

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

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

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

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 300

Logistics Healthcare Monitoring Artificial Intelligence 300

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

MARCH 8, 2021

The domain of logistics is no stranger to innovations either. Thanks to the availability of comparative data for practically every type/model of a vehicle, fleet managers can plan maintenance activities based on certain knowledge. Such data is great for introducing revamped maintenance practices. Safe Driving.

Big Data 358

Big Data Predictive Analytics Logistics Planning 358

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 328

Big Data Logistics Artificial Intelligence Data Analytics 328

Domo

JUNE 18, 2024

Strategic planning A supply chain that is well-organized, resilient, and efficient can provide a competitive advantage by enabling companies to quickly identify challenges or opportunities in new markets and adjust their business strategies accordingly. Megan Fortenberry, director of technology and continuous improvement at RWI Logistics.

Supply Chain 72

Supply Chain Logistics Business Intelligence Business Intelligence 72

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 312

Big Data Logistics Monitoring Planning 312

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

Domo

JULY 29, 2024

As Walker Edison grew, it needed a more powerful enterprise resource planning (ERP) system and invested in NetSuite. Walker Edison integrated Domo’s reporting capabilities into NetSuite’s master planning system—and transformed its financial reporting, taking the company from reactive reports to proactive insights.

Supply Chain 72

Supply Chain E-Commerce Logistics Retail 72

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

Marutitech

DECEMBER 8, 2021

Regardless of whether it is part of a project management prototype or something else, the first step of any process is planning. Detailed planning takes you through numerous obstacles, and project goals are achieved to an early completion date. The answer to all these questions is Agile release planning. . Who Does it?

Planning 75

Planning Agile Vision Project Management 75

Domo

JUNE 18, 2024

Strategic planning A supply chain that is well-organized, resilient, and efficient can provide a competitive advantage by enabling companies to quickly identify challenges or opportunities in new markets and adjust their business strategies accordingly. Megan Fortenberry, director of technology and continuous improvement at RWI Logistics.

Supply Chain 52

Supply Chain Logistics Business Intelligence Business Intelligence 52

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

BizAcuity

JULY 15, 2022

Quite recently, the logistics industry was introduced to Edge and Fog cloud computing , to make the use of IoT devices (for analytics) cost-effective and efficient. This also meant leveraging blockchain technology for supply chain management could revolutionize the logistics industry forever. Industry 5.0

Supply Chain 130

Supply Chain IBM Support IBM Maintenance Procurement 130

Insight Software

JANUARY 20, 2021

Financial planning and analysis (FP&A) is recognized as an essential tool for driving business success. At a time when agility has taken center stage, though, FP&A is giving way to the new discipline of extended planning and analysis (xP&A). Instead, they planned for periodic adjustments to correct the spacecraft’s course.

Planning 52

Planning Supply Chain Finance Agile 52

Fingent

JANUARY 22, 2021

Organizations commonly use Enterprise Resource Planning or ERP software to streamline their back-office functions, logistics, customer […]. Companies have to get ready to compete by leveraging the digital core or be left behind. Take your business to the next level using digital core ERP!

Digital 111

Digital Logistics Innovation Planning 111

Analysts Corner

AUGUST 20, 2023

Whether it’s customer purchasing patterns, supply chain logistics, marketing campaign effectiveness, or employee performance, companies are inundated with data. In the context of business analytics, data, statistics, and probability work together to create a framework for decision-making, risk management, and strategic planning.

Supply Chain 130

Supply Chain Predictive Analytics Retail Artificial 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 221

Data Analytics Data Analytics Artificial Intelligence Logistics 221

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 256

Logistics Data Management Planning Artificial Intelligence 256

GAVS Technology

JUNE 21, 2024

In this comprehensive ebook, you’ll discover how AI can transform your pharma supply chain, unlocking game-changing advantages: Enhanced Visibility and Decision-Making: Leverage real-time data analysis for informed planning, resource allocation, and proactive decision-making.

Supply Chain 64

Supply Chain Pharmaceutical Logistics Real-time Data 64

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 240

Government Supply Chain Human Resource Management Logistics 240

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

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 284

E-Commerce Big Data Logistics Data Analytics 284

Analysts Corner

SEPTEMBER 25, 2023

Logistic regression: Logistic regression is used for binary classification problems, modeling the probability of an outcome occurring based on the values of the independent variables.

Logistics 130

Logistics Healthcare Vision Finance 130

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 321

Data Analytics Data Analytics Big Data Logistics 321