Supply Chain Shaman

APRIL 15, 2020

My first focus was on China sourcing. No doubt about it, we are characters in a supply chain case study searching to define a new normal. Today, we find ourselves in the middle of a risk management case study. China was the source of over 90% of PPE.) Don’t expect demand to be predictable.

Supply Chain Planning Software 427

Supply Chain Planning Software Supply Chain Design Software Modeling Supply and Demand 427

ToolsGroup

JANUARY 30, 2018

The next step is to accurately predict the uplift from baseline expected to be generated by the promotion so that supply chains can optimize inventory to properly support the promotion. But two-dimensional spreadsheets, however transparent, are incapable of handling the many different variables and data sources involved.

Forecasting 184

Forecasting Forecasting Software Supply Chain Planning Software Analytics Software 184

Talking Logistics

DECEMBER 16, 2015

Well, my big audacious prediction for 2015 did not come true. But some of my other predictions did hit the mark or came close. Making supply chain and logistics predictions is like throwing darts at a moving target. When making predictions, it’s easy to look at recent trends and simply project them forward.

Predictive Analytics Software 120

Predictive Analytics Software Supply Chain Planning Software Supply Chain Design Software Logistics Network Optimization Software 120

RFgen

MARCH 10, 2023

Order picking is a critical process in warehouse management that involves selecting items from inventory and assembling them into customer orders. Analyzing Current Order Picking Process If your warehouse picks inventory for orders, then you are probably familiar with your order picking process.

Sourcing Strategies 52

Sourcing Strategies Optimal Sourcing Inventory Reduction Cost Reduction Strategies 52

Vanguard Software

APRIL 16, 2021

While the transformational power of AI is evident, too much faith is put into supply chain simulation platforms that are neither accurate nor predictive. This last factor, also known as predictive analytics , is the basis for successful supply chain simulation software. Scenario Planning During COVID-19. Scenario Analysis.

Modeling 52

Modeling Supply Chain Planning Software Scenario Planning Supply Chain Software 52

ThroughPut

OCTOBER 7, 2022

After all, most of these business functions were created for a very different era where any change was predicted earlier and absorbed easily. Understanding and predicting demand in unpredictable times. Most manufacturers prefer to leverage analytics data over traditional forecasting and time series techniques.

Forecasting 52

Forecasting Modeling Supply and Demand Forecasting Software 52

Supply Chain Shaman

FEBRUARY 25, 2016

Stuck at the intersection of operating margin and inventory turns, only 10% of companies are making progress. Unable to power additional year-over-year improvements at the intersection of cost and inventory, companies struggle. Or to move from predictive analytics to prescriptive/cognitive capabilities to sense/learn and act?

Supply and Demand 150

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

Supply Chain Shaman

AUGUST 1, 2013

As a result, organizations are usually struggling to write off SLOB (slow and obsolete inventory). Companies today are unable to drive profitability, and manage inventory cycles, while absorbing the complexity of a rapidly changing product mix. Use new forms of analytics to learn from channel sales. Why do we need to change?

Modeling 226

Modeling Supply and Demand Supply Chain Design Software Optimal Sourcing 226

Unleashed

MARCH 2, 2022

If you already know what Kanban is and just want the case studies, scroll down! Kanban in lean manufacturing Kanban is an important part of the lean manufacturing system, since it manages production through a pull system, rather than responding to predicted demand. Table of Contents. What is Kanban?

Manufacturing Procurement 98

Manufacturing Procurement Agile and Lean Supply Chain Lean Examples 98

IQMS

JULY 11, 2019

McKinsey also found that AI-enhanced predictive maintenance of industrial equipment will generate a 10% reduction in annual maintenance costs, up to a 20% downtime reduction and 25% reduction in inspection costs. Source: Smartening up with Artificial Intelligence (AI) – What’s in it for Germany and its Industrial Sector?

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

Supply Chain Matters

MAY 9, 2023

The Supply Chain Learning The multi-industry supply chain learning is extensive and will remain the subject matter of many current and future business case study and educational texts. Inventory levels in retail channels remain at high levels because of bullwhip excess ordering.

Supply Chain Planning Software 52

Supply Chain Planning Software Supply Chain Design Software Pharmaceutical Supply Chain Planning 52

SCMDOJO

JUNE 14, 2023

A 3PL offers a comprehensive range of services, including transportation, warehousing, distribution, and value-added solutions such as inventory management, packaging, and assembly. For example, it can be used for inventory management, order fulfillment, and product tracking tasks.

3PL 77

3PL Supply Chain Design Software Prescriptive Analytics Software Inventory Management Software 77

o9 Solutions

MAY 26, 2021

In particular, the landscape is being challenged with a number of fundamental drivers: The changing consumer preferences with the move towards fresh, natural/organic/healthy, convenience foods and locally sourced products but at the same time looking for value. as well as external drivers (weather, interest rates, new housing starts….),

Manufacturing Procurement 52

Manufacturing Procurement Optimal Sourcing Modeling Material Savings 52

o9 Solutions

MAY 26, 2021

In particular, the landscape is being challenged with a number of fundamental drivers: The changing consumer preferences with the move towards fresh, natural/organic/healthy, convenience foods and locally sourced products but at the same time looking for value. as well as external drivers (weather, interest rates, new housing starts….),

Manufacturing Procurement 52

Manufacturing Procurement Modeling Supply Chain Planning Software Optimal Sourcing 52

Unleashed

NOVEMBER 1, 2021

Equipment that we’ve seen increasingly automated includes: Automated storage & retrieval : Robotic order picking systems and other storage or retrieval technology lets robots find, pick and move inventory around large warehouses – at a much faster rate than humans can and with less risk to safety.

Supply Chain Planning Software 98

Supply Chain Planning Software Supply Chain Software Logistics Network Optimization Software Trends 98

Unleashed

MAY 19, 2020

Case study 1: Epic Brewing Company. Case study 2: Zeffer Cider. How many stock-outs, an event that caused inventory to be exhausted? Changes to the plan are smoothly tracked and managed, and finished goods stock-outs can be predicted and worked around in advance. Stock & Inventory Control.

Supply Chain Planning Software 98

Supply Chain Planning Software Forecasting Software Inventory Management Software Demand Planning Software 98

Talking Logistics

JUNE 29, 2017

As I wrote two years ago in my supply chain and logistics predictions for 2015 : Historically, Supply Chain Design was an exercise companies undertook at most once a year, or when a significant change occurred in their supply chain, such as an acquisition. Source: LLamasoft. So, where does supply chain design end and planning begin?

Supply Chain Design Software 60

Supply Chain Design Software Supply Chain Planning Software Supply Chain Design Supply Chain Planning 60

ToolsGroup

JUNE 15, 2023

With more visibility and predictive forecasting. Several use case sessions focused on the Importance of Real-Time Data to capture signals quickly, enabling better decision making faster within the supply chain. Analytics in the past were backward looking. Prescriptive analytics. Does not require real-time data.

Gartner 293

Gartner Supply Chain Planning Software Supply Chain Software Supply Chain Design Software 293

Logistics Viewpoints

MARCH 4, 2021

Digital commerce efficiently requires the digitalization of many customer-facing operations and sourcing and procurement. Supply chain planning involves interaction with different types of information based on internal and external data sources. These data sources are often spread across multiple platforms and come in various formats.

Supply Chain Planning Software 261

Supply Chain Planning Software Supply Chain Planning Scenario Planning Modeling 261

FLEXE

OCTOBER 30, 2018

Inventory was sent in scheduled, bulk shipments and the destination was a shelf, not a doorstep. From new data sources for planning to forward-stocked inventory to better issue resolution, adapting your last-mile supply chain to be customer-centric requires that you: Anticipate demand: know your customer and her expectations.

Supply Chain Planning Software 39

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Agile and Lean Supply Chain 39

o9 Solutions

JUNE 27, 2021

Microsoft Data, Analytics, and AI Partner Case Study Program. The o9 solution integrates multiple technology innovations into one platform, including graph-based enterprise modelling, big data analytics, advanced algorithms for scenario planning, collaborative portals, easy-to-use interfaces, and cloud-based delivery.

Analytics Software 83

Analytics Software Supply Chain Planning Software Supply Chain Design Software Forecasting Software 83

ThroughPut

FEBRUARY 14, 2024

Those disciplines include decision management (including advanced nondeterministic techniques such as agent-based systems) and decision support as well as techniques such as descriptive, diagnostics and predictive analytics.” Decisions are made as a result of AI-based rules, predictions, and optimizations.

Optimal Sourcing 59

Optimal Sourcing Modeling Supply Chain Optimization Supply Chain Planning Software 59

Supply Chain Shaman

MAY 5, 2017

I also believe that forecasting plays a vital role in determining the rules for inventory buffers, driving market-to-market orchestration, and defining the principles for network design. Experiment with attribute-based planning and probabilistic forecasting to better predict the long tail. Form and Function of Inventory.

Supply and Demand 169

Supply and Demand Modeling Demand Planning Software Supply Chain Planning Software 169

Supply Chain Shaman

FEBRUARY 23, 2017

For this case study we interviewed Ralf Busche, Senior Vice President of Global Supply Chain Strategy and Performance. Our goal in writing these case studies is to share insights from the Supply Chains to Admire winners from 2016. Inventory Turns. Here we share the interview with Ralf. Operating Margin.

Agile and Lean Supply Chain 154

Agile and Lean Supply Chain Supply Chain Design Software Supply Chain Design Supply Chain Planning Software 154

ThroughPut

JANUARY 4, 2024

Prominent sources of bottlenecks include: Subpar Maintenance Planning occurs when machinery cannot meet demand due to technical issues or incapacity to function at the needed velocity. Bottlenecks can be identified through careful observation of the manufacturing process or using analytics tools to help pinpoint areas of inefficiency.

Manufacturing Procurement 52

Manufacturing Procurement Inventory Reduction Waste Reduction Cost Reduction Strategies 52

Supply Chain Shaman

FEBRUARY 25, 2018

The path is one that I could not have predicted. I could not have predicted the founder of AMR Research selling the company to Gartner Group. With additive manufacturing, do we need inventory? Machine learning and rules-based ontologies are mapping the data automatically sourced from data lakes. I didn’t choose it.

Supply Chain Planning Software 154

Supply Chain Planning Software Gartner Supply Chain Software Supply Chain Planning 154

Infosys Supply Chain Management

MARCH 6, 2012

Sourcing & Procurement. Sourcing & Procurement. ProcureEdge – Sourcing & Procurement. Case Studies. |. In this context, the social media can be leveraged effectively to analyze customer data and achieve more insight on forecasting, planning, scheduling and inventory management.

Supply Chain Planning Software 22

Supply Chain Planning Software Optimal Sourcing Supply and Demand Supply Chain Software 22

Infosys Supply Chain Management

DECEMBER 31, 2012

Sourcing & Procurement. Sourcing & Procurement. ProcureEdge – Sourcing & Procurement. Case Studies. |. Thus, many retailers, both brick and mortar and online focused, had to dynamically link available inventory with in-store, online and channel related promotional initiatives. Distribution.

Supply Chain Planning Software 24

Supply Chain Planning Software Supply Chain Software Agile and Lean Supply Chain Optimal Sourcing 24

Supply Chain Management and Analytics

MARCH 5, 2021

Digital commerce efficiently requires the digitalization of many customer-facing operations and sourcing and procurement. Supply chain planning involves interaction with different types of information based on internal and external data sources. These data sources are often spread across multiple platforms and come in various formats.

Supply Chain Planning Software 52

Supply Chain Planning Software Scenario Planning Supply Chain Planning Modeling 52

Vanguard Software

JUNE 22, 2021

In addition, 2020 illuminated the poor outcomes resulting from history-based forecasting, which relied too heavily on pure statistics and did not consider enough market insights and additional data sources. Fountain Tire Case Study. Download Case Study. Ken Miller, Director of Inventory, Fountain Tire.

Modeling 52

Modeling Supply and Demand Supply Chain Planning Software Demand Management 52

Supply Chain Shaman

DECEMBER 7, 2016

The first discussion was on the progression of analytics. The CEO’s solution is predictive analytics. We discussed the evolution of pattern recognition software and prescriptive analytics. We then discussed the evolution of cognitive analytics: the extension of machine learning based on semantic reasoning.

Supply Chain Planning Software 180

Supply Chain Planning Software Supply Chain Design Software Supply Chain Software Prescriptive Analytics Software 180

TMC

JANUARY 10, 2019

The direct-to-consumer push is having a major impact on supply chains through the need for localized inventory variety, more modes, tighter windows for delivery, and more. In our experience, we are typically pairing predictive analytics, machine learning, and API connectivity to accomplish digital transformations.

Supply Chain Software 62

Supply Chain Software Analytics Software Predictive Analytics Software Sourcing Strategies 62

Supply Chain Shaman

JUNE 6, 2015

I was running a factory, and I made a bet with the production team that I could schedule the lines through a heavy summer period and predict production needs adequately to predict when they could get weekends off to spend with their families. I used history to predict the future. If I won, they would cook me dinner. Why so long?

Supply Chain Planning Software 150

Supply Chain Planning Software Supply Chain Design Software Forecasting Software Demand Planning Software 150

TMC

JANUARY 10, 2019

The direct-to-consumer push is having a major impact on supply chains through the need for localized inventory variety, more modes, tighter windows for delivery, and more. In our experience, we are typically pairing predictive analytics, machine learning, and API connectivity to accomplish digital transformations.

Supply Chain Software 48

Supply Chain Software Analytics Software Predictive Analytics Software Sourcing Strategies 48

TMC

JANUARY 10, 2019

The direct-to-consumer push is having a major impact on supply chains through the need for localized inventory variety, more modes, tighter windows for delivery, and more. In our experience, we are typically pairing predictive analytics, machine learning, and API connectivity to accomplish digital transformations.

Supply Chain Software 48

Supply Chain Software Analytics Software Predictive Analytics Software Sourcing Strategies 48

Requis

SEPTEMBER 24, 2020

I’ve always been very practical, which is why my PhD thesis was a research topic, not a case study. Don’t get me wrong—that engineering mindset helps me approach things analytically, and to break things down so I can process them better. When the data is going through the system, why isn’t it giving me a predictive indicator?

Supply Chain Planning Software 75

Supply Chain Planning Software Supply Chain Design Software Education Supply Chain Software 75