Supply Chain Shaman

FEBRUARY 26, 2024

Can you describe the outside-in model? Based on the work with Georgia Tech, we are getting clear on which metrics matter by industry. As companies adopt a balanced scorecard, the functional metrics shift to a focus on reliability. Based on market conditions, the meat packer will shift to optimize the demand opportunity.

Modeling 208

Modeling Supply and Demand Optimal Sourcing Supply Chain Planning Software 208

The Logistics & Supply Chain Management Society

AUGUST 14, 2023

With its ability to derive insights from vast amounts of data and derive insights, generative AI has emerged as a valuable tool to optimize supply chain operations. AI models have grown tenfold, representing a step-change in AI capabilities, creating new use cases across the supply chain. Generative AI is all about scale.

Optimal Sourcing 244

Optimal Sourcing Supply Chain Planning Software Supply Chain Software Modeling 244

ToolsGroup

AUGUST 29, 2017

There are supply chain and demand analytics models that describe the type of analytics being deployed (e.g., Now Gartner has created a different look at the issue by creating a five-stage maturity model for assessing the overall maturity level of your organization in using supply chain analytics. descriptive, prescriptive, etc.).

Modeling 189

Modeling Prescriptive Analytics Software Analytics Software Modeling Software 189

ToolsGroup

JANUARY 9, 2018

A new report from Nucleus Research, Value Drivers of Single Model S&OP , concludes that the historical disconnect between planning and execution in S&OP is best bridged by a single unified data model that allows companies to continuously synchronize their strategic, tactical and execution plans.

Modeling 179

Modeling Scenario Planning Optimization Modeling S&OP 179

Logility

MARCH 21, 2024

During this time, the same AI tools that underwrite new technologies have been key in improving efficiency and optimizing all areas of logistics and supply chain processes including forecasting, supply planning, inventory management, manufacturing, network optimization, and more. trillion parameters.

Optimal Sourcing 222

Optimal Sourcing Supply Chain Planning Software Modeling Software Inventory Reduction 222

EC Sourcing Group

JULY 26, 2022

These diagnostic analyses help businesses predict market trends, optimize global supply chains, to make quicker, strategic decisions to pursue financial opportunities. Analytic techniques include data mining, eSourcing software , semantic analysis, complex event processing, predictive modeling, and other business data examinations.

Optimal Sourcing 52

Optimal Sourcing Analytics Software Predictive Analytics Sourcing Strategies 52

Logistics Viewpoints

NOVEMBER 20, 2024

Meanwhile, advances in AI-driven route optimization reduce unnecessary mileage, cutting emissions and costs. Smart energy management systems further enhance efficiency by tracking and optimizing energy use in real-time. Ethical sourcing is a fundamental aspect of social sustainability.

Waste Reduction 198

Waste Reduction Sustainability Supply Chain Design Software Resource Reduction 198

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 227

Supply Chain Planning Software Modeling Forecasting Software Optimization Software 227

Supply Chain Shaman

MARCH 21, 2022

” Corporations serve international markets, and the source of rare minerals (so critical for the evolution of the green supply chain) is primarily Asia. Others argue the demise of global sourcing; might I add caution? Yet, transportation optimization products focus on managing price, not constraints.

Modeling 284

Modeling Supply Chain Planning Software Supply and Demand Supply Chain Design Software 284

Supply Chain Shaman

JANUARY 2, 2023

In traditional advanced planning applications (APS) for a manufacturing company, the forecasting model’s role is to generate a time-series forecast in the tactical horizon (outside of lead time). (An In traditional planning taxonomies, the tactical forecast is modeled, and the operational signal is calculated using consumption logic.

Supply and Demand 376

Supply and Demand Modeling Demand Planning Supply Chain Planning Software 376

Logistics Viewpoints

SEPTEMBER 19, 2023

Supply chain executives must evolve from cost and service as the key objectives for optimal demand-supply balancing towards the “quadfecta” of cost, service, resiliency, and sustainability. Metrics such as lead-times, forecast accuracy, inventory levels, and service are used to measure operational risks. are most exposed to risk?

Supply Chain Design Software 261

Supply Chain Design Software Supply Chain Design Supply Chain Planning Software Supply Chain Software 261

BlueYonder

OCTOBER 9, 2023

Drought conditions at the Panama Canal are not a good match for its high water demands; it takes at least 50 million gallons of water , with some sources citing much more, to move a single ship through the 51-mile waterway. That’s the beauty of transportation optimization in today’s age of sophisticated AI and ML.

Optimal Sourcing 97

Optimal Sourcing Modeling Optimization Software Supply Chain Optimization 97

crisp

JUNE 6, 2024

This is where Crisp’s semantic layer comes in – a powerful tool that acts as a translator, taking disparate data sources and building a unified, business-friendly language around them. Without a semantic model, this level of clarity is often lacking, or lives within individual BI tools managed by separate teams.

Waste Reduction 52

Waste Reduction Inventory Reduction Modeling Software Resource Reduction 52

BlueYonder

APRIL 24, 2023

One of those urgent challenges is optimal data management — and few people are more qualified to discuss this topic than Frank Slootman, Chairman and CEO of Snowflake , along with Duncan Angove, CEO of Blue Yonder, the leader in end-to-end supply chain management who will share the keynote stage at the event on May 3. The end result?

Optimal Sourcing 79

Optimal Sourcing Modeling Optimization Software Supply Chain Optimization 79

Logistics Viewpoints

APRIL 21, 2021

What is the Perfect Delivery Metric? Improving on this metric will always involve a focus on people and processes, but often also includes implementing new, more robust, supply chain applications. The wrong metrics drive suboptimal behaviors and metrics can often be manipulated.

Sourcing Strategies 266

Sourcing Strategies How To Supply Chain Design Software Supply Chain Planning Software 266

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? What are Predictive Analytics for Supply Chain?

Predictive Analytics 130

Predictive Analytics Predictive Analytics Software Analytics Software Big Data 130

ThroughPut

MARCH 24, 2024

However, these models have tremendously faltered, when they have not altogether failed because of superior intelligence. 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

Locus

JULY 24, 2023

Retailers should find ways to optimize truckloads to reap benefits. However, trucking industries have many business models they operate by. How do we optimize these loads? Shippers need to leverage automated and intelligent solutions to truly optimize the supply chain and impact the bottom line in a positive way.

Optimal Sourcing 52

Optimal Sourcing Resource Reduction Optimization Software Modeling 52

ThroughPut

DECEMBER 8, 2023

Prescriptive analytics is a type of advanced analytics that optimizes decision-making by providing recommended actions based on the insights gained from descriptive, diagnostic, and predictive analytics. How Prescriptive Analytics Has Been Driving Value In Supply Chain Optimization? What Is Prescriptive Analytics in Supply Chain?

Prescriptive Analytics Software 52

Prescriptive Analytics Software Optimal Sourcing Modeling Procurement Analytics 52

Logistics Viewpoints

APRIL 6, 2023

Their metrics are often misaligned as well – supply chain focuses on service and procurement focuses on the cost of acquiring materials and services. Optimize sourcing: Focus on optimizing sourcing spend across all categories of products. Conduct this resiliency test for all categories of products and suppliers.

Optimal Sourcing 217

Optimal Sourcing Sourcing Strategies Manufacturing Procurement Material Savings 217

Logility

JULY 9, 2021

The quality of supply chain operations is critical to evolve business models, deliver new products and services, seize new opportunities, respond to market dynamics, and mitigate risks across strategic operations. Comparing a supply chain planning platform against an ERP system that offers supply chain management capabilities is a challenge.

Supply Chain Planning Software 204

Supply Chain Planning Software Supply and Demand Supply Chain Software Optimal Sourcing 204

ThroughPut

AUGUST 22, 2024

In addition, it wanted to use homegrown metrics to identify and rank products for prioritized distribution and order fulfillment, thus optimizing resources and effort. It’s designed to align with different operational models and complies with the regulatory requirements of your business ecosystem.

Optimal Sourcing 52

Optimal Sourcing Forecasting Modeling Forecasting Software 52

Logility

AUGUST 15, 2023

Even before importing and selling any item, every step addresses complex challenges amplified by regulations dictating the origin of goods and ethical sourcing and labor practices. Unveil a world of optimization and progress Effective supply chain management involves numerous factors, including the number of suppliers.

Supply Chain Planning Software 130

Supply Chain Planning Software Supply Chain Planning Scenario Planning Modeling 130

Logistics Viewpoints

MARCH 27, 2023

Demand forecasting should be tightly integrated to an inventory optimization application. It is important to benchmark forecast accuracy and similar supply chain metrics against your peers. Demand models need to be continuously updated. The model can be updated to reflect a demand spike for that city during the relevant period.

Forecasting 213

Forecasting Forecasting Software Modeling Optimal Sourcing 213

Talking Logistics

JANUARY 7, 2016

Supply chain optimization is a widespread term, but did you know that an optimized supply chain is not necessarily a resilient one? There are four steps businesses can apply to understand and improve the resiliency of their supply chain network: Assess: Use all modeling and analytics to identify areas of risk.

Modeling 70

Modeling Supply Chain Design Software Supply Chain Design Modeling Software 70

Cognira

JUNE 4, 2024

Retailer’s Guide to Overcome Deal Management Challenges and Optimize Collaboration with Vendors June 4, 2024 Promotions Home In an AI-dominated era of the retail landscape, the current deal management scene is governed by spreadsheets, duplicative efforts, and disjointed collaboration attempts.

Optimal Sourcing 52

Optimal Sourcing Vendor Strategies Negotiating Skills Modeling 52

SYSPRO Smarter ERP

APRIL 24, 2023

The Association for Supply Chain Management’s Supply Chain Operations Reference (SCOR) model provides seven primary processes that will ensure order fulfilment is carried out properly and efficiently — Orchestrate, Plan, Order, Source, Transform, Fulfill and Return.

Optimal Sourcing 105

Optimal Sourcing Sourcing Strategies Supply Chain Planning Software Modeling 105

ToolsGroup

MAY 3, 2016

If you (or your boss) are measured by your company's Return on Invested Capital (ROIC) or a similar metric, then you want to turn assets into cash. Inventory optimization is one proven way to do it. That's where inventory optimization comes in. Inventory optimization software bolts onto your existing management solutions.

Optimal Sourcing 120

Optimal Sourcing Modeling Inventory Reduction Optimization Software 120

Logistics Viewpoints

JULY 22, 2021

As product flows rapidly shifted and hard baked assumptions about lead times and sourcing locations were put to test, users across many organizations bypassed their planning systems and turned to excel sheets, internal data science teams or non-traditional supply chain vendors who could deliver AI based solutions at a faster turn.

S&OP 268

S&OP Supply and Demand Optimal Sourcing Supply Chain Design Software 268

Silvon Software

APRIL 11, 2024

Optimizing Operational Efficiency As businesses grow, so does the complexity of their operations. This optimization ensures that the business remains agile and responsive, capable of adapting to new challenges and opportunities as they arise. KPIs serve as the navigational beacons guiding a business toward its strategic goals.

Predictive Analytics 104

Predictive Analytics Analytics Software Analytics Sourcing Strategies 104

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. How easy is the item to forecast and plan? -

Optimal Sourcing 100

Optimal Sourcing Modeling Optimization Software Inventory Reduction 100

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 277

Supply Chain Planning Software Supply Chain Planning Scenario Planning Modeling 277

Logility

DECEMBER 29, 2020

Optimizing Your Existing Assets. Here it is again: there’s an asset that many manufacturers have not yet optimized – their own data. Some of you may want to argue that point but note that we’re calling for the optimization of deriving sound business decisions from data. Supply Chain Optimization. Quality Control.

Manufacturing Procurement 130

Manufacturing Procurement Optimal Sourcing Analytics Software Supply Chain Planning Software 130

Supply Chain Shaman

FEBRUARY 13, 2020

Not all data is forecastable, and not all demand optimization engines are equal. The more forecastable the data set, the easier it is to find an optimizer. In addition, there is often a seasonal, new product launch and service supply chain logical model. To be successful, each logical supply chain model needs different tactics.

Optimal Sourcing 235

Optimal Sourcing Modeling Forecasting Supply and Demand 235

ToolsGroup

JUNE 17, 2024

This includes enhancing supply chain transparency using technologies like AI to track and verify sustainability metrics. Stakeholders increasingly demand visibility from sourcing to disposal, prompting companies to explore actionable steps such as optimizing logistics for reduced carbon footprint and adopting circular economy practices.

Gartner 156

Gartner Supply Chain Planning Software Supply Chain Software Agile and Lean Supply Chain 156

Kinaxis

AUGUST 29, 2014

Supply Chain Insights recently published a Metrics That Matter report covering both the Semiconductor and Hard Disk Drive (HDD) industries. Semiconductor is poised to consolidate, which will have huge impact on the metrics. by CJ Wehlage. Success, provided they monitor the 7 “elephants” in the room. Global pressure.

Metrics 171

Metrics Supply Chain Planning Software Manufacturing Procurement Thailand 171

crisp

OCTOBER 21, 2024

As we’re beginning to understand, the major roadblock is underdeveloped data that fails to meet the intricate, highly granular requirements of large language models (LLMs) and other similar foundation models. However, suppliers need to take data preparedness a step further to leverage AI’s power in retail analytics.

Procurement Analytics 40

Procurement Analytics Analytics Software Predictive Analytics Analytics 40