Let's Talk Supply Chain

FEBRUARY 19, 2024

Today John Delligatti, Director of Digital Supply Chain Transformation at SDI, joins me to talk all about SDI’s purpose-built ZEUS technology. Guiding data strategy at SDI, John ensures that data and resources are meticulously harnessed to facilitate intelligent decision-making.

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Let's Talk Supply Chain

APRIL 6, 2023

They met while working at Omniture, an online marketing and digital analytics firm that was acquired by Adobe in 2009 for $1.8 Every day, Coby & John focus their efforts on Enveyo’s core mission – to enable businesses to make business-transforming shipping decisions by leveraging comprehensive data & integrated systems.

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Supply Chain Action Blog

MARCH 12, 2015

2) Custody of all the necessary data and flows necessary for informing decision-makers of dynamic, timely updates of relevant information in an immediately comprehensible context. This is a challenging opportunity for software providers, and the race is on to enable this in a scalable way. That is both a threat and an opportunity.

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Supply Chain Analytics Supply Chain Optimization supply chain software solutions Supply chain 40

SCMDOJO

NOVEMBER 8, 2022

This supply chain YouTube channel covers Supply Chain and Logistics topics with a passion running over 40+ years of industry experience. . 2) Supply Chain Analytics | 22k Subscribers. Professor Rajat Agrawal hosts the current videos on this supply chain YouTube channel. Subscribers.

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SCMDOJO

APRIL 29, 2024

In this comprehensive guide, we’ll explore the key components of supply chain management, best practices, and how they can be tailored to specific industries. We’ll also delve into the importance of technology and data analytics in optimizing supply chain operations.

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Market Dojo

DECEMBER 14, 2017

Eddie is the co-founder of Seaforth Analytical Services. They are data analytics specialists providing spend analysis on big data. Big Data Analysis – Past, Present and Future. Big data analysis is soon to be a revolutionary step in transforming the digital world.

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Data supply chain software solutions Supply Chain Analytics Price 40

Zycus Cognitive Procurement

DECEMBER 15, 2022

We have shortlisted 7 C ritical T rends that will help supply chain leaders and practitioners to build a strategic blueprint for 2023 and beyond. Here are the 7 supply chain management trends for 2023 – Building agile supply chain ecosystems. Managing supply chain risk. So why wait?

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Supply Chain Game Changer

FEBRUARY 11, 2021

For many people in Procurement, the language used in data science can be confusing. “Teacher” or “Training set” data are used to establish a general rule that maps inputs to outputs. Unsupervised learning can be an effective method of discovering hidden patterns in data. Data Training & Validation Time.

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IBM Supply Chain Blog

FEBRUARY 19, 2024

Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. A supply chain control tower can connect many sources of data-driven information and improve end-to-end visibility.

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Solvoyo

MARCH 19, 2018

If you ask a kid what they want to be when they go grow, is the answer ever “A data scientist?” The post 5 Things I Learned as a Data Scientist appeared first on Solvoyo. Well, at least when I […].

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Procurement Templates

JUNE 18, 2023

Develop analytical and strategic thinking skills: As a procurement leader, the ability to analyze data, identify trends, and make informed decisions is crucial. Enhance your analytical and strategic thinking skills by solving complex problems, practicing critical thinking, and learning to leverage data to drive procurement strategies.

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Leadership Procurement Agile and Lean Supply Chain Supply Chain Efficiency 147

Solvoyo

JULY 21, 2020

With a toolset, you get the underlying technology to build a supply chain “something.” ” 2) A platform manages data with a holistic view. Different supply chain functions require different tools. The data structure of each tool can be different, requiring you to set up different integrations among them.

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The Procuretech Podcast

APRIL 8, 2020

Eddie McGeachie from Seaforth Analytics and Accelerated Insight joins me on The Procuretech Podcast today to discuss how data and supply chain analytics have shaped his career over the years. I've long been a proponent of getting your data ducks in a row, so this was one long, golden nugget of an interview for me.

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Supply Chain Collaborator

MAY 23, 2019

If you’re not pursuing supply chain digitization, you run the risk of being left behind! For many organizations, all the data created by today’s disparate supply chain management technologies exist in separate silos. The data is the lifeblood of digitization and these siloes are ripe for convergence.

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Procurement Software

JANUARY 9, 2024

The 10 Hottest UK-based Procurement Tech Startups Before we give you the list, we should briefly touch on what we’ve defined as a “Startup” Less than 50 employees, according to data on LinkedIn. Key Data: Founder / CEO: Tom Howsam Date Founded: 2018 Visit Paid profile in our Software Finder 2.

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Solvoyo

FEBRUARY 27, 2020

AI can come to its own conclusions by navigating through different sets of data and drawing correlations. AI can maneuver through lots of data and pick only the meaningful relationships that humans may not be able to find.”. Technology is an enabler to get the most out of the Retail resources, data, people, and processes.

Agile and Lean Supply Chain 52

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Supply Chain Game Changer

AUGUST 24, 2021

Cloud computing is transforming the platform on which IT (information technology) is implemented in the supply chain. For heavily data-driven companies, cloud computing can help in the collection and storage of important data concerning your customers, products, orders, and shipment to the final consumer.

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Supply Chain Game Changer

JANUARY 20, 2021

Design & PLM , materials management, sourcing management , manufacturing process management, warehouse management, distribution & logistics, accounting, merchandising management, and supply chain analytics and forecasting (Phew!) While large ERP providers can be product suites, they tend to be closed suites.

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Solvoyo

DECEMBER 9, 2020

Traditionally, well-run RFI and RFP processes try to reduce the risk of deployment failure for the buyer via questions and a demo, and sometimes a proof-of-concept study with made-up data. A well-run T&L removes all onboarding risks due to return on investment (ROI) estimates, data quality, and integration scalability.

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Solvoyo

FEBRUARY 27, 2020

AI can come to its own conclusions by navigating through different sets of data and drawing correlations. AI can maneuver through lots of data and pick only the meaningful relationships that humans may not be able to find.”. Technology is an enabler to get the most out of the Retail resources, data, people, and processes.

Agile and Lean Supply Chain 52

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Solvoyo

AUGUST 17, 2020

Are you using spreadsheets as a supply chain planning tool to collect and manage your data and perform analysis? There’s no doubt that spreadsheets are easy to use with familiar and easy functions, formulas, and calculations… However, is “ease of use” the only priority for supply chain planning?

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SCMDOJO

DECEMBER 28, 2023

Precise inventory and retail data empower businesses to efficiently fulfill orders from the most suitable location (such as a warehouse/fulfillment center, a retail store, or a drop ship partner). Challenges Digitizing your supply chain offers numerous benefits, but it also presents a set of challenges.

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Solvoyo

OCTOBER 19, 2020

As supply chain professionals, in this rapidly changing world, we deal with many analytical challenges when it comes to planning and execution: . bias in every aspect of the supply chain . mismatched and missing data between different sources. uncertainty regarding future demand.

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Solvoyo

APRIL 28, 2021

The solution lies where every good solution lies nowadays: Data, Machine Learning & Artificial Intelligence. The solution of incorporating promotions while managing inventory lies in data analytics. appeared first on Supply Chain Analytics, Planning & Optimization Software | Solvoyo.

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Solvoyo

FEBRUARY 10, 2020

Also, the Retail chain has a much richer set of data such as point-of-sale details, availability of competing products on the shelf, pricing, and promotions on substitutable products that have immediate sales effect. A CPG company can improve its predictive model results only if it has this type of additional data.

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IBM Supply Chain Blog

MARCH 21, 2023

It’s generally defined as the trackability of parts, components or products in transit from the manufacturer to their destination—with the goal being to improve and strengthen the supply chain by making data visible, actionable and readily available to all stakeholders, including the customer.

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Solvoyo

JUNE 9, 2020

3) Data Analytics & Automation. Keep in mind these companies are built on data analytics and thrive on automation. High-performing retailers with proven track-records are utilizing advanced analytics, artificial intelligence, and automation in driving their planning decisions.

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Category management Supply Chain Optimization Agile and Lean Supply Chain Supply Chain Analytics 52

Solvoyo

JUNE 9, 2020

These companies are built on data analytics and thrive on automation. Retailers with proven track-records are utilizing advanced analytics, artificial intelligence, and automation in driving their planning decisions. Keep in mind that every retailer will be competing with Amazon or Alibaba at the end of the day.

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Category management Agile and Lean Supply Chain Supply Chain Analytics Supply Chain Optimization 52

Solvoyo

MARCH 5, 2021

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. Planners spend their precious time collecting and synthesizing the data to drive insights. .

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World of Procurement blog

MAY 8, 2024

Demand forecasting utilizes historical sales data, market trends, and customer insights to predict future demand. Accurate demand forecasts enable effective supply chain planning. Technological advancements have enabled real-time data sharing and visibility across global supply chains.

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Solvoyo

JUNE 10, 2020

3) Data Analytics & Automation. Keep in mind these companies are built on data analytics and thrive on automation. High-performing retailers with proven track-records are utilizing advanced analytics, artificial intelligence, and automation in driving their planning decisions.

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Category management Supply Chain Optimization Agile and Lean Supply Chain Supply Chain Analytics 52

Solvoyo

JULY 9, 2020

During the pandemic, Solvoyo has utilized backup resources that continue to process data without interruption. Operating two Physical Data centers and two separate AWS regions ensure maximum redundancy. Redundancy offers backup to increase the reliability of systems. We would be happy to help.

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Solvoyo

NOVEMBER 26, 2020

This requires integrating data and processes across the network, which requires IT investments, operational work, and additional shipping and handling costs. For omnichannel fulfillment to work effectively, there are many strategic, tactical, and operational supply chain planning decisions requiring advanced analytics.

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Supply Chain Game Changer

NOVEMBER 17, 2022

Fortunately, the newest versions of analytics or big data are already demonstrating their potential for helping move merchandise and raw materials from Point A to Point B, wherever those points happen to be. For many businesses, it’s big data and the many tools of analytical application. What’s the answer?

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Solvoyo

JUNE 11, 2021

DOM systems require four data components to be effective: 1. Access to real-time order and inventory data. To do distributed order management in real-time or near real-time, having visibility on available inventory data, including returns available to sell, is crucial. . How to implement DOM? Operational and logistics costs.

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Procurement Software

AUGUST 8, 2023

There’s an increasing focus on having a “platform” as a single source of truth for your data. Instead of using a S2P suite as their platform, they can also use a vendor intake or master data management solution. Some examples: SRM Contract management Risk management ESG Spend, and wider data analytics There will be more acquisitions.

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Solvoyo

JANUARY 3, 2020

From a technical point of view, there is a need for a scalable digital platform that has a comprehensive and internally consistent data model for the entire value chain, including suppliers and customers. The digital twin remains alive and healthy with its lifeline connected to the source data from multiple systems.

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