DELMIA Quintiq

NOVEMBER 3, 2015

Suddenly, discussions seem to treat big data as a driver for incredible innovation. Assuming that big data was superior to “just any data” came from evidence in the B2C market, but this did not stop bold predictions about how it could also transform supply chain operation.

Optimal Sourcing 120

Optimal Sourcing Big Data Supply Chain Optimization Optimization Software 120

Enterra Insights

AUGUST 15, 2023

The so-called “retail apocalypse” was deepened by the pandemic, then came inventory overload and inflation. Big Data Analytics and AI are at the forefront of this technological revolution, offering unprecedented opportunities for retailer agencies and agents to optimize their operations and enhance customer experience.”[1]

Supply Chain Planning Software 130

Supply Chain Planning Software Supply Chain Software Optimal Sourcing Supply Chain Optimization 130

Logistics Viewpoints

FEBRUARY 14, 2024

Sourcing and procurement comes in close second at 88 percent, followed by innovation at 87 percent. Logistics and inventory management rounds out the top four focus areas at 82 percent. Sourcing and Procurement In sourcing and procurement, the top focus area for 2024 continues to be supplier/vendor relationship management (SRM).

Supply Chain Planning Software 246

Supply Chain Planning Software Supply Chain Planning Optimal Sourcing Scenario Planning 246

Unleashed

JANUARY 27, 2020

Big data refers to the process of examining and analysing large and diverse data sets for the purpose of uncovering valuable information to help businesses make informed decisions. The relationship between SMEs and big data is not contradictory, because no business is too small for big data.

Big Data 63

Big Data Analytics Software Predictive Analytics Software Purchasing Skills 63

NC State SCRC

OCTOBER 23, 2018

Dunn a writer for TechnologyAdvice. She provides some great insights into how big data might be able to be used in supply chains. Today’s companies face overwhelming reams of endless data flooding in from a broad range of channels. The Advantages of Analyzing Big Data Run Far and Wide.

Big Data 58

Big Data Supply Chain Planning Software Supply Chain Software Analytics Software 58

Logistics Viewpoints

MARCH 9, 2023

This is because most classical planning solutions lack the modeling capability and computing power to accommodate different data sources, large SKU count, and detailed constraints and contingencies to build an immediately executable plan. each with discrete plans generated typically in sequential batch runs.

Supply Chain Planning Software 200

Supply Chain Planning Software Modeling Forecasting Software Optimization Software 200

Unleashed

AUGUST 23, 2021

A crystal ball sometimes wouldn’t go amiss in inventory forecasting. Here we explain the methods and formulas you can use to improve your inventory forecasting, and best practices for your business when designing and carrying out this process. Read more: What is Inventory Management?

Forecasting 98

Forecasting Forecasting Software Inventory Reduction Inventory Management Software 98

Logility

JANUARY 18, 2024

But it is setting the foundation for a new paradigm that could cut 70% of weekly planning time, 15%–30% fewer forecast errors, and impressively improved inventory outcomes. And once collected, the data often requires some cleansing and standardization. Want to learn more?

Modeling 191

Modeling Optimal Sourcing Supply Chain Planning Software Supply Chain Software 191

Supply Chain Shaman

SEPTEMBER 13, 2023

If S&OP efforts were that effective, don’t you think that we would have made more progress against inventory levels, margin, and growth? In part, this results in increasing swings in inventory in response to shifts in consumer demand as one moves further up the supply chain. Go to the source.

Supply and Demand 370

Supply and Demand Supply Chain Planning Software Modeling Demand Planning 370

Logility

APRIL 17, 2023

of supply chain managers using Excel spreadsheets to manage your inventory and supply chain, it’s time to make a change. By leveraging big data from edge devices, manufacturers can create better demand forecasts, leading to improved service levels, increased revenue, and better customer insight. If you’re one of the 67.4%

Manufacturing Procurement 130

Manufacturing Procurement Optimal Sourcing Supply Chain Planning Software Supply Chain Software 130

RFgen

SEPTEMBER 13, 2017

Data collection and integration tools underpin big data innovation. Big data has been growing more important in the supply chain sector as businesses look to eke out every bit of value they can through greater operational insights. ” Putting Big Data Into Practice. .

Big Data 52

Big Data Supply Chain Planning Software Analytics Software Supply Chain Software 52

RFgen

SEPTEMBER 13, 2017

Data collection and integration tools underpin big data innovation. Big data has been growing more important in the supply chain sector as businesses look to eke out every bit of value they can through greater operational insights. ” Putting Big Data Into Practice. .

Big Data 52

Big Data Supply Chain Planning Software Analytics Software Supply Chain Software 52

Supply Chain Shaman

OCTOBER 16, 2023

Clear operating strategy and definition of supply chain excellence across plan, source, make and deliver. I like the use of growth, margin, inventory turns, Return on Invested Capital, customer service and ESG metrics. Holistic design of the form and function of inventory with a focus on setting inventory targets for each flow.

S&OP 321

S&OP Supply and Demand Forecasting Supply Chain Design Software 321

AFFLINK

MARCH 20, 2017

You can’t open a major tech news site these days without encountering the words “big data.” What is Big Data? The easy question first: what is big data? As explained by a recent IBM report, “Big data is being generated by everything around us at all times. How Can Big Data be Used?

Optimal Sourcing 54

Optimal Sourcing Big Data Supply Chain Optimization Modeling 54

Logistics Viewpoints

FEBRUARY 26, 2024

Everything from contrast dye, to tubing, to medical devices with embedded semiconductor chips would suddenly become difficult to source. If they were dependent, did they have East Coast distribution centers where they could preplace inventory before the strike occurred. A customer of the risk solutions begins by listing key suppliers.

Supply Chain Planning Software 248

Supply Chain Planning Software Supply Chain Software Agile and Lean Supply Chain Pharmaceutical 248

Logistics Viewpoints

MARCH 27, 2023

As demand forecasting accuracy increases, and the standard deviation associated with the forecast decreases, the need to hold “just in case” inventory also goes down. This leads to lower inventory carrying costs and thus better case flow. Demand forecasting should be tightly integrated to an inventory optimization application.

Forecasting 189

Forecasting Forecasting Software Modeling Optimal Sourcing 189

Supply Chain Shaman

MAY 26, 2023

Or there is no true relationship management in the structured data models in Supplier Relationship Management (SRM) or Customer Relationship Management (CRM). Or a unified data model across source, make, and deliver for planning? In contrast, a graph database is a non-linear data structure based on vertices and edges.

Optimal Sourcing 337

Optimal Sourcing Modeling Supply and Demand Manufacturing Procurement 337

SCMDOJO

APRIL 4, 2023

Importance of Supply Chain Analytics Five Types of Supply Chain Analytics Benefits of Supply Chain Analytics Challenges in Implementing Supply Chain Analytics Supply Chain Analytics System Architecture Role of Big Data What is Supply Chain Analytics? What are some examples of Supply Chain Analytics?

Prescriptive Analytics Software 111

Prescriptive Analytics Software Analytics Software Supply Chain Planning Software Supply Chain Design Software 111

Supply Chain Shaman

OCTOBER 5, 2021

Let’s Start With a Discussion on Inventory. When we look at table 1, we see burgeoning inventories in some industries and extreme shortages in others. We are not good at inventory management. Inventory Levels Over the Quarters of the Pandemic. Companies struggle to have the right inventories. The end result?

Supply Chain Planning Software 256

Supply Chain Planning Software Supply Chain Design Software Modeling Optimal Sourcing 256

RFgen

APRIL 16, 2013

By using automated data collection software to feed information into its big data analytics program, British grocery and merchandise retailer Tesco has dramatically boosted profits and more proactively met consumer demands. “That [program] has revealed some interesting insights,” the news source said.

Supply Chain Software 52

Supply Chain Software Big Data Optimal Sourcing Data 52

American Global Logistics

NOVEMBER 21, 2023

In today's digital era, the exponential growth of data has given rise to the concept of big data analytics. While big data offers immense opportunities for businesses, it also presents tough challenges. To ensure accurate and reliable insights, you must deal with Big Data’s challenges.

Analytics Software 52

Analytics Software Quality Security Analytics 52

ThroughPut

NOVEMBER 16, 2021

Integration of multiple distribution channels Customer satisfaction Inventory and storage management End-to-end supply chain visibility. Amongst these challenges, inventory management impacts all others. Multiple distribution channels are also more effectively managed when on-time delivery of inventory is ensured.

Inventory Reduction 52

Inventory Reduction Supply Chain Software Supply Chain Planning Software Supply Chain Design Software 52

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

Supply Chain Opz

AUGUST 2, 2018

From the most basic to the most advanced organization, Inventory Optimization is a critical goal and one which underpins the effectiveness of the supply chain operation. Inventory Optimization requires an organization to sustain and maintain the right mix of cost versus service.

Optimal Sourcing 100

Optimal Sourcing Modeling Optimization Software Inventory Reduction 100

Supply Chain Shaman

OCTOBER 5, 2021

Let’s Start With a Discussion on Inventory. When we look at table 1, we see burgeoning inventories in some industries and extreme shortages in others. We are not good at inventory management. Inventory Levels Over the Quarters of the Pandemic. Companies struggle to have the right inventories. The end result?

Supply Chain Planning Software 195

Supply Chain Planning Software Supply Chain Design Software Modeling Optimal Sourcing 195

Supply Chain Shaman

OCTOBER 5, 2021

Let’s Start With a Discussion on Inventory. When we look at table 1, we see burgeoning inventories in some industries and extreme shortages in others. We are not good at inventory management. Inventory Levels Over the Quarters of the Pandemic. Companies struggle to have the right inventories. The end result?

Supply Chain Planning Software 195

Supply Chain Planning Software Supply Chain Design Software Modeling Optimal Sourcing 195

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

Supply Chain Shaman

JANUARY 31, 2022

Source E2open Shipping Index). We started the conversation with sourcing. Lucas had a team that dictated sourcing based on excel spreadsheet analysis to reduce cost and improve tax efficiency. In addition, Lucas used inventory as a slush fund to make quarterly earnings. So, we began the discussion. What to do?

Procurement Analytics 217

Procurement Analytics Manufacturing Procurement Supply Chain Planning Software Sourcing Strategies 217

Supply Chain Opz

DECEMBER 1, 2014

By reducing lead times due to shorter delivery routes, inventory and waste in the system can be reduced without sacrificing service levels. Data analytics or “Big Data” also bears huge potential for increasing supply chain efficiencies. With the omnipresence of data, this path is now open to other industries as well.

Sourcing Strategies 245

Sourcing Strategies Optimal Sourcing Manufacturing Procurement Supply Chain 245

Supply Chain Shaman

JUNE 13, 2014

Yesterday, I spoke at the Eye for Transport conference on the Big Data opportunity in supply chain. I hate the term Big Data. Nine out of ten companies are not making progress at the intersection of inventory turns and operating margins. So, in summary, today, we don’t have a big data problem.

Big Data 282

Big Data Supply Chain Planning Software Analytics Software Supply and Demand 282

Kinaxis

AUGUST 18, 2014

I watched a TED Talk video by Philip Evans, from Boston Consulting Group and shuddered to think that all our traditional fulfillment and inventory models can be drastically transformed by the “consumer”. Philip Evans shares how today’s consumer is sharing a colossal amount of data to come to a buying decision.

Modeling 263

Modeling Supply Chain Planning Software Supply Chain Strategy Inventory Reduction 263

RFgen

APRIL 16, 2013

By using automated data collection software to feed information into its big data analytics program, British grocery and merchandise retailer Tesco has dramatically boosted profits and more proactively met consumer demands. “That [program] has revealed some interesting insights,” the news source said.

Supply Chain Software 40

Supply Chain Software Big Data Optimal Sourcing Data 40

Supply Chain Shaman

NOVEMBER 29, 2021

There is no planning model in traditional solutions that recognizes a logistics bottleneck and drives bi-directional orchestration across source, make and deliver. Inventories are out of balance with demand and the rising need for write-offs. Chemical Sector Inventory Availability. Shifts in Chinese Policy for Data Sharing.

Supply Chain Planning Software 276

Supply Chain Planning Software Modeling Supply Chain Optimization Supply Chain Software 276

Enterra Insights

OCTOBER 3, 2018

The era of Big Data is in full swing. The term “big data” has both its supporters and detractors; but, like it or not, when people hear the term, they understand a massive amount of data is being discussed. ”[1] The promise and benefits of big data can only be obtained through advanced analytics.

Analytics Software 100

Analytics Software Predictive Analytics Analytics Modeling Software 100

Logility

FEBRUARY 26, 2020

Accurate forecasts help minimize inventory, maximize production efficiency, streamline purchasing, optimize distribution, maximize customer service, ensure confidence in company financial projections. Without clean, consistent data, demand planners will struggle to create accurate forecasts. The Rise of AI and Automation.

Forecasting 162

Forecasting Forecasting Software Optimal Sourcing Supply and Demand 162

Supply Chain Shaman

FEBRUARY 16, 2024

The translation of ripple effects of short supply, pricing, quality issues, and freight shifts affects how to source, make, and deliver processes should align. Sensing and Proactive Alerting. The complexities in a supply chain loom large. In today’s systems, they act independently based on order signals.

Supply Chain Planning Software 374

Supply Chain Planning Software Supply Chain Design Software Modeling Supply and Demand 374

Enterra Insights

NOVEMBER 13, 2019

These technologies generally have one thing in common: Big data. Mona Lebied writes, “Big data is revolutionizing many fields of business, and logistics analytics is one of them. She concludes, “It looks like the future is bright for logistics companies that are willing to take advantage of big data.”

Logistics Network Optimization Software 100

Logistics Network Optimization Software Analytics Software Supply Chain Software Predictive Analytics Software 100