EazyStock

OCTOBER 10, 2018

Big data is a term used to describe a massive volume of both structured and unstructured data that’s too large to be processed using traditional database and software techniques. In most enterprise scenarios, the volume of data is too big, moves too fast and exceeds processing capacity of existing applications.

Inventory Management Software 45

Inventory Management Software Big Data Inventory Management Supply Chain Planning Software 45

NC State SCRC

DECEMBER 30, 2018

One of our newest SCRC partners, Siemens Building Technologies, recently shared their insights on creating an analytics strategy. This effort was led by the Chief Procurement Officer for Siemens BT, Carl Oberland, but has recently been rolled out across the global organization. What is digital governance and stewardship?

Procurement Analytics 60

Procurement Analytics Analytics Software Predictive Analytics Analytics 60

GlobalTranz

OCTOBER 2, 2017

According to Mitchell’s NY , last mile logistics is seen as the least efficient leg of shipping, and it accounts for up to 20 percent of the total shipping cost of a product. Managing returns and reverse logistics are another consideration in creating an effective last mile logistics strategy, reports Industry Week.

Inventory Reduction 363

Inventory Reduction Cost Reduction Strategies Logistics Network Optimization Software Supply Chain Strategy 363

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.

Supply Chain Software 130

Supply Chain Software Supply Chain Optimization Modeling Supply Chain 130

GlobalTranz

MARCH 7, 2016

Through the use of connected devices and greater abilities to capture data in real time, the concept of end-to-end visibility and improvement thru the use of supply chain analytics has changed. What Do Supply Chain Analytics Have to Do With This Ability?

Procurement Analytics 120

Procurement Analytics Analytics Software Analytics Supply Chain Planning Software 120

ThroughPut

MARCH 24, 2024

Food & Beverage giants like Kellog’s reported on the state of breakdown in supply chain management. Demand planning and forecasting in the traditional sense relied heavily on a combination of limited and biased data and gut instinct. The unavailability of raw materials and changing consumer patterns heavily impacted demand.

Supply and Demand 52

Supply and Demand Optimal Sourcing Forecasting Modeling 52

GlobalTranz

NOVEMBER 21, 2017

In a recent study, MIT found that companies that focus on 5 key initiatives to improve their supply chain data can have a big impact on their bottom line. Some supply chain companies are leaning on the power of analytics to help streamline their processes and get ahead of their competitors. Hanesbrand Inc. ,

Analytics Software 173

Analytics Software Procurement Analytics Agile and Lean Supply Chain Modeling Software 173

Logistics Viewpoints

MARCH 9, 2023

For instance, the solution should optimize availability, fulfillment, source determination, routing, warehouse handling, and production capacity together and concurrently, focusing on minimizing Total Cost to Serve. Retailers, especially in the developed world, demand collaborative practices with their CPG partners.

Supply Chain Planning Software 224

Supply Chain Planning Software Modeling Forecasting Software Optimization Software 224

Logistics Viewpoints

MARCH 4, 2021

Digital commerce efficiently requires the digitalization of many customer-facing operations and sourcing and procurement. Planners spend their precious time collecting and synthesizing the data to drive insights. The First Step: Bring all the data together and ensure analytics and planning can happen on the same platform. .

Supply Chain Planning Software 277

Supply Chain Planning Software Supply Chain Planning Scenario Planning Modeling 277

Logility

MARCH 6, 2020

Machine Learning for demand forecasting has matured to a level of accuracy, transparency and replicability that translates into transformative results, including in these five areas: Accuracy, transparency, thoroughness of analytical options and results. Analytical processing speed and accelerated corporate learning.

Forecasting 259

Forecasting Supply and Demand Forecasting Software Modeling 259

ToolsGroup

JULY 10, 2018

Computing power and storage capacity have grown exponentially, while the cost of both have plummeted. More and better data has turned demand analytics into mainstream reality. Demand signals can include downstream demand such as “sell out” or POS data and downstream inventory levels. Demand Planning.

Supply and Demand 192

Supply and Demand Demand Planning Software Forecasting Forecasting Software 192

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. E2open last week announced the purchase of Serus. This purchase increases E2open’s capabilities for visibility into the processes of the outsourced semiconductor network of foundries.

Optimal Sourcing 286

Optimal Sourcing Manufacturing Procurement Procurement Analytics Modeling 286

Supply Chain Shaman

OCTOBER 29, 2014

The consulting team pitches a theme–vision of supply chain best practices, big data analytics, or demand-driven value networks– to the executive team, and a new project is initiated. In addition, I am now done with the page proofs for my new book, Metrics that Matter. The book is a story.

Supply Chain Planning Software 313

Supply Chain Planning Software Modeling Demand Planning Software Optimization Software 313

Precoro

MARCH 30, 2022

Strategic Procurement Helps a Business Unleash its Potential. As The Hackett Group discovered, approaching procurement strategically with specific business goals in mind helps achieve a significantly higher ROI. Operational efficiency and cost reduction are among the top procurement priorities for CPOs, according to Deloitte.

Vendor Strategies 52

Vendor Strategies Sourcing Strategies Cost Reduction Strategies Price Reduction 52

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. The Data Opportunity. Without clean, consistent data, demand planners will struggle to create accurate forecasts.

Forecasting 162

Forecasting Forecasting Software Optimal Sourcing Supply and Demand 162

Supply Chain View from the Field

OCTOBER 4, 2015

As part of the conference, I’m delivering a talk on five predictions that every procurement professional should consider. These aren’t so much “predictions”, as opportunities that procurement professionals should become aware of, and educate themselves on.

Procurement Analytics 60

Procurement Analytics Predictive Analytics Predictive Analytics Software Optimal Sourcing 60

ToolsGroup

JULY 10, 2018

Computing power and storage capacity have grown exponentially, while the cost of both have plummeted. More and better data has turned demand analytics into mainstream reality. Demand signals can include downstream demand such as “sell out” or POS data and downstream inventory levels. Demand Planning.

Supply and Demand 120

Supply and Demand Demand Planning Software Forecasting Forecasting Software 120

IQMS

NOVEMBER 29, 2018

Manufacturers who excel at orchestrating analytics, Business Intelligence (BI), quality management and real-time monitoring to improve manufacturing strategies are growing 10% faster than their peers. In parallel, there will be more self-service analytics and BI apps specifically designed for manufacturers.

Manufacturing Procurement 102

Manufacturing Procurement Procurement Analytics Trends Manufacturing 102

Supply Chain Shaman

NOVEMBER 28, 2016

Over the period of 2009-2015, only 88% of companies made improvement on the Supply Chain Metrics That Matter. (As As a group, these metrics have the highest correlation to market capitalization. As a group, public companies want to make progress to both drive and sustain metrics performance, but they cannot. Improvement.

Supply Chain Design Software 195

Supply Chain Design Software Supply Chain Planning Software Agile and Lean Supply Chain Supply Chain Software 195

Unleashed

DECEMBER 6, 2021

We’ve identified 6 important categories that wholesaling features fall under: Inventory management Supply chain Customer orders Warehouse management Data and analytics Key software integrations And within these categories, we give you 17 features to look for – and why they’re important. Inventory management 1.

Inventory Management Software 98

Inventory Management Software Supply Chain Design Software Supply Chain Planning Software Analytics Software 98

Enterra Insights

SEPTEMBER 28, 2020

… With an ever-complex consumer purchasing path, it can be difficult for a brand to know where exactly to adjust their efforts. To avoid diving blindly into new endeavors and wasting resources by consequence, CPG brands need sales and media data to direct and inform their alterations.”[1] Data and advanced analytics.

Data 100

Data Analytics Software Supply Chain Design Software Sourcing Strategies 100

Logility

OCTOBER 6, 2023

Integrations for modern and frequent data updates – The Logility® Digital Supply Chain Platform includes a data integration layer that enables your organization to build modern integrations that support frequent data updates. Data can be exposed for analytics purposes through several different mechanisms.

Supply Chain Planning Software 190

Supply Chain Planning Software Modeling Software Supply Chain Network Software Optimization Software 190

Elementum

FEBRUARY 7, 2024

It’s a strategic reimagining of business models and processes, powered by cloud computing, big data analytics, and AI, making businesses more adaptive, responsive, and customer-focused than ever before. Metrics such as processing time, error rates, and customer satisfaction levels serve as performance indicators.

Optimal Sourcing 78

Optimal Sourcing Optimization Software Modeling Prescriptive Analytics Software 78

The Logistics & Supply Chain Management Society

JULY 20, 2020

Innovation and supplier management calls for cloud-based integrated systems between partners and advanced predictive models. Predictive analytics will quicken demand response and involve product-use insights to improve accuracy against external factors affecting demand (e.g. Efficiency and cost management.

Agile and Lean Supply Chain 230

Agile and Lean Supply Chain Supply Chain Planning Software Supply Chain Design Software Supply Chain Software 230

Supply Chain Shaman

APRIL 1, 2015

I am speaking this morning at the Terra Technology conference and doing a book signing of my new book, Supply Chain Metrics That Matter. In parallel, I have been hard at work on a report on multi-tier inventory optimization for the last two weeks. It will delay my report. ILOG was then purchased by IBM for $340 million in 2008.

Supply Chain Design Software 150

Supply Chain Design Software Supply Chain Planning Software Network Design Software Optimization Software 150

ThroughPut

AUGUST 24, 2021

Food & Beverage giants like Kellog’s reported on the state of breakdown in supply chain management. Demand planning in the traditional sense relied heavily on a combination of limited and biased data and gut instinct. The unavailability of raw materials and changing consumer patterns heavily impacted demand.

Supply and Demand 52

Supply and Demand Optimal Sourcing Forecasting Modeling 52

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 98

Manufacturing Procurement Sourcing Strategies Inventory Reduction Cost Reduction Strategies 98

Logistics Viewpoints

MARCH 27, 2023

Organizations then convert those demand forecasts to the associated quantities of raw materials to purchase, goods to be manufactured, or finished products to ship. It is important to benchmark forecast accuracy and similar supply chain metrics against your peers. Doing this, increases the benefits.

Forecasting 210

Forecasting Forecasting Software Modeling Optimal Sourcing 210

Logistics Bureau

OCTOBER 26, 2020

As legislation focuses ever more heavily on environmental protection though, and consumers increasingly consider sustainability in their purchasing decisions, all supply chain organisations will need to find the way forward. Meanwhile, Big Data analytics, AI, and machine learning can have a significant impact on supply chains.

Supply Chain Planning Software 87

Supply Chain Planning Software Supply Chain Software Supply Chain Planning Supply Chain 87

Taulia

MARCH 22, 2023

In practice, this could mean predicting which invoices suppliers will choose to accelerate under a range of different conditions. Or it could mean leveraging the power of AI to extend the cash forecasting process all the way down to the purchase order level. The use of AI can help overcome these issues.

Supply Chain Planning Software 52

Supply Chain Planning Software Predictive Analytics Software Vendor Strategies Forecasting Software 52

BlueYonder

FEBRUARY 17, 2022

Followed by focus on big data analytics where companies began leveraging BI (business intelligence) tools for data-driven decision making. Transport costs are soaring to ridiculous levels, especially for those shippers that did not have an organized procurement strategy for freight movement.

Supply Chain Planning Software 74

Supply Chain Planning Software Supply Chain Software Predictive Analytics Software Analytics Software 74

GlobalTranz

DECEMBER 29, 2014

Warehouse Metrics to Track to Improve Profitability and Operations : Today’s warehouse managers often accrue massive amounts of performance data, but sometimes find they can apply little of it toward making productivity gains or customer service improvements. Read the Full Post. Download the Webinar Replay. Read the Full Post.

Logistics Network Optimization Software 243

Logistics Network Optimization Software Reverse Logistics Manufacturing Procurement Logistics 243

Supply Chain Shaman

MAY 2, 2016

With the evolution of cognitive learning, cloud-based analytics, non-relational technologies, and streaming architectures, the ERP vendors are no longer the center-piece of supply chain visionaries’ discussions. New business models are evolving. New business models are evolving. Embrace New Business Models.

Supply Chain Planning Software 150

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

Supply Chain Game Changer

JUNE 2, 2020

As an experienced business professional, he has served in diverse roles ranging from Marketing and Strategy, to Procurement and Supply Chain. Several articles and reference books have highlighted Joe’s procurement transformation accomplishments at Lucent Technologies, Juniper Networks, and in the area of Supply Chain Risk Management.

Sourcing Strategies 61

Sourcing Strategies Material Savings Price Reduction Cost Reduction Strategies 61

Supply Chain Shaman

SEPTEMBER 17, 2015

As shown in the 2015 Supply Chains to Admire report , over time, top performing supply chains plateau. He spoke on the use of global sentiment data to sense and improve customer experiences. In the evolution of today’s analytics most companies are evaluating concurrent optimization of transactional data.

Prescriptive Analytics Software 150

Prescriptive Analytics Software Supply Chain Design Software Supply Chain Planning Software Analytics Software 150

Enterra Insights

MARCH 20, 2019

”[2] TechTarget adds, “Sporadic use of the term business intelligence dates back to at least the 1860s, but consultant Howard Dresner is credited with first proposing it in 1989 as an umbrella phrase for applying data analysis techniques to support business decision-making processes. .”[2]

Analytics Software 100

Analytics Software Predictive Analytics Software Optimization Software Procurement Analytics 100

Enterra Insights

AUGUST 19, 2020

It spans the purchase of raw materials to the final delivery of the merchandise to the customer, including the intermediate processing of the goods. Those questions are: Where does your supply chain need faster and more accurate data collection? Which data metrics are most relevant to your demand forecasting? ”[5].

Logistics Network Optimization Software 100

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