Logility

MAY 7, 2020

Companies across all industries and sizes struggle to make sense of and value from the available mountains of data. Structured and unstructured data including that from social media, Internet of Things (IoT) and Blockchain sources continue to stream in but much is left untouched. Figure 1: Demystifying Data Units.

Supply Chain Planning Software 195

Supply Chain Planning Software Supply Chain Planning Supply Chain Software Scenario Planning 195

Logility

DECEMBER 29, 2020

Thanks to the power of the cloud and advanced analytics, manufacturers can put data to work, gathering information from multiple data sources and taking advantage of machine learning models and visualization platforms to uncover new ways to streamline processes from sourcing to sales. The term of art is data warehousing.

Manufacturing Procurement 130

Manufacturing Procurement Optimal Sourcing Analytics Software Supply Chain Planning Software 130

Supply Chain Shaman

JANUARY 31, 2022

Source E2open Shipping Index). As a result, focusing on cost and efficiency, and functional metrics throws the supply chain out of balance. Over the past two decades, organizations have become more insular and less willing or able to share meaningful data. We started the conversation with sourcing. Focus on Cost.

Procurement Analytics 219

Procurement Analytics Manufacturing Procurement Supply Chain Planning Software Sourcing Strategies 219

Arena Solutions

APRIL 4, 2023

IIoT is the connection of distinct devices within an existing internet infrastructure making it possible for manufacturers to make knowledgeable, strategic decisions using real-time data to improve cost reduction, efficiency, safety, product innovation, and more. Big data The use of big data is increasing in manufacturing.

Manufacturing Procurement 74

Manufacturing Procurement Sourcing Strategies Inventory Reduction Cost Reduction Strategies 74

Logistics Viewpoints

NOVEMBER 14, 2022

Many-to-many can also refer to many participants in a network accessing many, many sources of event data critical to supply chain operations through a public cloud network. As an in-memory solution, Nexus allows for Big Data to be accessed very quickly. COVID of course taught companies the need for agility.

Agile and Lean Supply Chain 224

Agile and Lean Supply Chain Supply Chain Planning Software Supply Chain Design Software Supply Chain Network Software 224

Logistics Viewpoints

MARCH 27, 2023

It is important to benchmark forecast accuracy and similar supply chain metrics against your peers. Demand forecasts are improved with access to downstream data (point of sale, Nielsen retail data, and access to competitor promotion schedules). Doing this, increases the benefits. forecasting product sales at 10,000 stores.

Forecasting 189

Forecasting Forecasting Software Modeling Optimal Sourcing 189

Logility

DECEMBER 28, 2020

Thanks to the power of the cloud and advanced analytics, manufacturers can put data to work, gathering information from multiple data sources and taking advantage of machine learning models and visualization platforms to uncover new ways to streamline processes from sourcing to sales. The term of art is data warehousing.

Manufacturing Procurement 130

Manufacturing Procurement Optimal Sourcing Manufacturing Analytics Software 130

ThroughPut

MARCH 24, 2024

Demand planning and forecasting in the traditional sense relied heavily on a combination of limited and biased data and gut instinct. Delayed delivery of performance metrics and consumer behavior sets off a chain reaction of excess, wastage, and loss of profits. Excess inventories lead to excess wastage.

Supply and Demand 52

Supply and Demand Optimal Sourcing Forecasting Modeling 52

Logility

NOVEMBER 30, 2020

There is a growing awareness within senior executives that transforming supply chain capabilities to take advantage of the emerging areas of “Big Data,” “Artificial Intelligence,” “Advanced Analytics” and “Cloud Computing” provides a competitive advantage and reduces risk due to disruptions.

Supply Chain Planning Software 179

Supply Chain Planning Software Supply Chain Software Agile and Lean Supply Chain Supply Chain Strategy 179

Enterra Insights

AUGUST 22, 2018

Big data is not a new topic, but it remains a fresh topic of discussion because the amount of data being generated each day continues to grow. Without advanced analytics, finding actionable insights and gaining new knowledge from that data would be difficult and slow — too slow for today’s speed of business.

Big Data 100

Big Data Prescriptive Analytics Software Analytics Software Predictive Analytics 100

Logility

MARCH 14, 2023

It’s no longer considered magic because we now have advanced analytics systems that harness and organize massive amounts of disparate data and model that big data in ways that allow humans to be proactive and make informed decisions. How can big data lead to supply chain optimization?

Predictive Analytics 130

Predictive Analytics Predictive Analytics Software Analytics Software Big Data 130

Supply Chain Shaman

MARCH 20, 2016

Cloud and open source analytics are fueling new markets giving rise of new software providers in analytics with names like Board, Cloudera, EveryAngle, Enterra Solutions, FusionOps, Halo, Qlik, Spotfire, Transvoyant, Trifecta, and Trufa. The automation of processes with these new data forms intrigues me. New names abound.

Prescriptive Analytics Software 150

Prescriptive Analytics Software Analytics Software Analytics Supply Chain Planning Software 150

Enterra Insights

MAY 31, 2022

We live in a digital age in which, according to Yossi Sheffi ( @YossiSheffi ), Director of the MIT Center for Transportation & Logistics, big data is an organization’s most valuable asset. Today, it’s not people but data that tops the asset value list for companies.”[1] 1] Staff writers at Gadget go even further. ”[3].

Supply Chain Software 130

Supply Chain Software Supply Chain Optimization Modeling Supply Chain 130

Supply Chain Shaman

JUNE 14, 2014

I think about this discussion with Keith often as I work on the Supply Chain Index and edit the chapters of Metrics That Matter. This is the clear articulation of when and how to make, source, and deliver for the community. Big data supply chains Bricks Matter' I believe that value is what you create.

Optimal Sourcing 287

Optimal Sourcing Manufacturing Procurement Procurement Analytics Modeling 287

Supply Chain Shaman

JUNE 6, 2013

Closing the gaps happens when there are aligned metrics, clarity of vision and aligned planning processes. It combines decisions across sell, deliver, make and source processes to drive value based outcomes. Metrics Alignment. Most companies operate well within functions, but struggle to build strong horizontal processes.

Supply Chain Planning Software 281

Supply Chain Planning Software Supply Chain Planning Optimal Sourcing Scenario Planning 281

Supply Chain Shaman

OCTOBER 25, 2021

Build capabilities to manage planning master data. Manage Make, Source, and Deliver Together. Change internal metrics to a balanced scorecard and force the functions to work better together. We cannot change things overnight, but there are some steps that we can take through the use of advanced analytics. What to do?

Analytics Software 195

Analytics Software Analytics Supply Chain Design Software Supply Chain Planning Software 195

Supply Chain Shaman

JULY 9, 2013

We started with mining the data on supply chain financial ratios within industry groups. This research was the backbone of the Supply Chain Metrics that Matter series of reports. Instead, they have measured functional metrics or focused on projects. The Building of the Index. As we did this analysis, I was amazed.

Supply Chain Software 207

Supply Chain Software Supply Chain Modeling Modeling Software 207

Logility

JUNE 27, 2018

At its most basic level, supply chain analytics are the application of mathematics, statistics, predictive modeling and machine-learning techniques to find meaningful patterns in the vast mountains of data produced by enterprise systems and external sources. In-Memory Processing: Enables fast response times to analytic operations.

Prescriptive Analytics Software 113

Prescriptive Analytics Software Analytics Software Predictive Analytics Analytics 113

Supply Chain Shaman

OCTOBER 25, 2021

Build capabilities to manage planning master data. Manage Make, Source, and Deliver Together. Change internal metrics to a balanced scorecard and force the functions to work better together. We cannot change things overnight, but there are some steps that we can take through the use of advanced analytics. What to do?

Analytics Software 195

Analytics Software Analytics Supply Chain Design Software Supply Chain Planning Software 195

Logility

JUNE 28, 2018

At its most basic level, supply chain analytics are the application of mathematics, statistics, predictive modeling and machine-learning techniques to find meaningful patterns in the vast mountains of data produced by enterprise systems and external sources. In-Memory Processing: Enables fast response times to analytic operations.

Prescriptive Analytics Software 101

Prescriptive Analytics Software Analytics Software Predictive Analytics Analytics 101

Enterra Insights

AUGUST 20, 2019

era is to find the box, open it, and leverage the data it contains. Big data and manufacturing. Megan Ray Nichols ( @nicholsrmegan ) notes, “In manufacturing, even without modern data systems, you need to be aware of vast quantities of information. .” The key to success in the Industry 4.0 They are: 1.

Supply Chain Design Software 100

Supply Chain Design Software Analytics Software Optimization Software Demand Planning Software 100

Logistics Viewpoints

FEBRUARY 10, 2021

A SCCN allows a company to get data useful for planning, sourcing, manufacturing, logistics, returns, supply chain risks, and supply chain finance. Basically, a SCCN that can get data feeds from across the plan, source, make, deliver, risk, and finance categories allows companies to have an end-to-end view of their supply chain.

Supply Chain Planning Software 153

Supply Chain Planning Software Supply Chain Design Software Agile and Lean Supply Chain Supply Chain Planning 153

Enterra Insights

SEPTEMBER 28, 2020

.” According to Nimrod Kaplan, CTO and Co-Founder at Water.io, consumer data might not be as abundant as people think. He explains, “Big data essentially has three sources: social data, machine data and transactional data. Social data is comprised of a consumer’s online behavior.

Data 100

Data Analytics Software Supply Chain Design Software Sourcing Strategies 100

SCMDOJO

APRIL 9, 2024

From the ubiquity of the Internet and various electronic gadgets, we are now in the era of next-level digital space where businesses and individuals can easily leverage the power of cloud computing, big data analytics, AI, and the Internet of Things (IoT).

Supply Chain Design Software 77

Supply Chain Design Software Logistics Network Optimization Software Optimal Sourcing Supply Chain Design 77

Supply Chain Shaman

MAY 22, 2015

The term Big Data is all the range. For me, buzzword bingo on Big Data is bad. They are a big marketing machine. This includes ominchannel and big data. Do not use the big data lexicon. People like to touch data. It is well-proven that touching data adds little value.

Supply Chain Planning Software 150

Supply Chain Planning Software Analytics Software Modeling Software Supply Chain Software 150

Talking Logistics

AUGUST 13, 2018

We do strategic carrier sourcing and contract negotiation, but it isn’t always time to renegotiate your contracts. Data-driven Optimization. Big data drives everything,” Michael says. “The most common request we get is to help companies figure out why their costs are rising so rapidly,” says Michael.

Negotiating Skills 103

Negotiating Skills Optimal Sourcing Optimization Software Price Mitigation Strategies 103

OptiProERP

NOVEMBER 3, 2022

Some standard digital technologies are cloud computing, the Internet of Things (IoT), machine learning, Artificial Intelligence (AI), mobile, and Big Data. Look at what other companies are doing successfully and listen to customer feedback and other sources to determine how to best implement positive change. Better Insight.

Sourcing Strategies 52

Sourcing Strategies Inventory Reduction Cost Reduction Strategies Waste Reduction 52

Enterra Insights

MARCH 1, 2019

Stepping stones between the two revolutions include the generation of big data, advanced computing, and the rise of digital manufacturing. Big data is the lifeblood of the digital age. Data is generated from ubiquitous sensors, the Internet, and mobile technologies. .” Some pundits believe Industry 4.0

Manufacturing Procurement 100

Manufacturing Procurement Optimal Sourcing Supply Chain Design Software Analytics Software 100

Intelligent Audit

OCTOBER 12, 2022

Annually, container ships contribute approximately one billion metric tons of carbon dioxide. They include energy sources your company purchased for its use, such as electric car refueling, electricity for the building, and similar types. Big data can help to move us forward toward this goal. These need to be reported.

Waste Reduction 52

Waste Reduction Resource Reduction Price Reduction Cost Reduction Strategies 52

IQMS

JULY 11, 2019

Source: Smartening up with Artificial Intelligence (AI) – What’s in it for Germany and its Industrial Sector? (52 Source: Technology and Innovation for the Future of Production: Accelerating Value Creation (38 pp., Source: Digital Factories 2020: Shaping the future of manufacturing (48 pp.,

Manufacturing Procurement 42

Manufacturing Procurement Optimal Sourcing Modeling Manufacturing 42

American Global Logistics

SEPTEMBER 12, 2023

Overview of Supply Chain Management Supply chain management encompasses the planning, sourcing, manufacturing, and delivery of products or services. Big Data analytics Artificial intelligence and machine learning enable predictive analytics and demand forecasting, facilitating better decision-making.

Sourcing Strategies 52

Sourcing Strategies Optimal Sourcing Supply Chain Planning Software Supply Chain Software 52

Logility

APRIL 3, 2018

There is a growing awareness within senior executives that transforming supply chain planning capabilities to take advantage of the emerging areas of “Big Data,” “Artificial Intelligence,” “Advanced Analytics,” and “Cloud Computing” is a competitive imperative.

Supply Chain Planning Software 100

Supply Chain Planning Software Supply Chain Planning Scenario Planning Supply Chain Software 100

Arena Solutions

FEBRUARY 27, 2024

Emerging digital and cloud technologies like big data, cloud computing, artificial intelligence (AI), blockchain, the Internet of Things (IoT), and product lifecycle management (PLM) can benefit the circular economy by addressing a wide range of global issues. Gives transparency about what is happening across products and teams.

Material Savings 52

Material Savings Waste Reduction Resource Reduction Supply Chain Design Software 52

IQMS

OCTOBER 18, 2019

Source: Machine Learning – A Giant Leap for Supply Chain Forecasting, Material Handling and Logistics Conference (PDF, 28 pp., Source: Machine Learning & AI in Transport and Logistics, Frank Salliau & Sven Verstrepen Logistics Meets Innovation Vlerick Brussels – Nov. no opt-in). 15th, 2017 (PDF., no opt-in). no opt-in).

Supply Chain Planning Software 73

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Analytics Software 73

Supply Chain Shaman

MAY 2, 2016

With the rise in complexity, most Supply Chain Metrics That Matter are going backwards (inventory turns, ROIC, operating margin and growth). Open source needs maintenance. With the evolution of open source software, be sure that the solution that you are purchasing can be maintained and evolved over time.

Supply Chain Planning Software 150

Supply Chain Planning Software Modeling Software Analytics Software Supply Chain Software 150

ThroughPut

AUGUST 24, 2021

Demand planning in the traditional sense relied heavily on a combination of limited and biased data and gut instinct. Absence of Real-Time Data : Delayed delivery of performance metrics and consumer behavior sets off a chain reaction of excess, wastage, and loss of profits. AI-enabled demand planning for the post-pandemic world.

Supply and Demand 52

Supply and Demand Optimal Sourcing Forecasting Modeling 52

RFgen

MAY 3, 2017

Data integration and process automation are critical in this environment, especially as more organizations face pressure to establish sustainable supply chain ecosystems that are backed by big data. Minimizing the emissions requirements for good transit between source locations, warehouses, production areas and customers.

Supply Chain Planning Software 52

Supply Chain Planning Software Supply Chain Software Analytics Software Sustainability 52