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A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities. Achieving these goals requires visibility into the entire supply chain.
When one thinks of supply chain software vendors, the name InterSystems may not spring to mind. They offer softwaresystems and technology for complex integration, rapid application development, and advanced analytics and sell those solutions to companies that need to accelerate optimized business outcomes.
A data gateway is essentially a connective tissue across your supply chain, providing unified access to supply chain data from various sources, including enterprise systems, data feeds, data warehouses, data lakes, data marts, and business entities. Achieving these goals requires visibility into the entire supply chain.
They emphasized being an Industry Cloud Complete Company with industry-specific solutions for over 2000 micro verticals across Process Manufacturing, Distribution, Service Industries, and Discrete Manufacturing. Industry-specific content is available for processes like Source to Settle, Procure to Pay, Order to Cash, and more.
To do this, many are relying on prescriptiveanalytics. According to Gartner, 11% of mid and large-sized enterprises currently have some form of prescriptiveanalytics. AIMMS has been in the market of prescriptiveanalytics (otherwise known as mathematical optimization) since 1989.
Many large organizations have multiple systems for order, warehouse, or transportation management that are barely integrated frequently not at all. Optimizing fulfillment requires a series of steps to get a shipment from its source to the end customer.
To do this, many are relying on prescriptiveanalytics. According to Gartner, 11% of mid and large-sized enterprises currently have some form of prescriptiveanalytics. AIMMS has been in the market of prescriptiveanalytics (otherwise known as mathematical optimization) since 1989. – Tweet this.
If you’ve read up on the latest topics in the field of data analysis, then you’ve probably encountered the term PrescriptiveAnalytics. PrescriptiveAnalytics is a type of Advanced Analytics that results in a recommended action. Let’s take an example from one of our clients in manufacturing.
Analytics and business intelligence (BI) are no longer optionaltheyre essential. They need visibility across multiple internal systemslike ERP, CRM, and financial platformsand even external sources shared with suppliers, partners, and customers. But lets be clear: not all BI platforms are created equal. Why does that matter?
Despite their best efforts, current events and market dynamics caught up with them, leading to issues managing their suppliers and sourcing the materials needed for their products. If nothing else, the last few years highlighted the importance of sourcing strategically. Upcoming Recession? Price Volatility.
If you’ve read up on the latest topics in the field of data analysis, then you’ve probably encountered the term PrescriptiveAnalytics. PrescriptiveAnalytics is a type of Advanced Analytics that results in a recommended action. Let’s take an example from one of our clients in manufacturing.
Multiparty Networks are Proven Technology. For example, the One Network platform for supply chain planning and execution is used by the Ministries of Health in Nigeria, Ghana, and Rwanda, providing comprehensive inventory visibility across all health facilities for real time supply demand matching and collaborative decision making.
In this context, AI in supply chain management software is emerging as a game-changer, enabling organizations to make better, faster, and more resilient decisions. This blog distills the key insights from the MITx MicroMasters in Supply Chain Management webinar featuring Bhaskar Ballapragada , Chief Technology Architect at ThroughPut Inc.
Gartner measures supply chain analytics maturity across seven different dimensions. There are supply chain and demand analytics models that describe the type of analytics being deployed (e.g., descriptive, prescriptive, etc.). Excel spreadsheets dominate, providing limited analytics.
By embedding analytics across logistics, sourcing, and fulfillment, businesses gain the visibility and foresight needed to stay competitive.Analytics-driven leadership is no longer a luxury; it’s the foundation of operational survival in todays volatile business environment. Prescriptiveanalytics tells them what to do about it.
Descriptive analytics. Prescriptiveanalytics. For everyone trying to navigate new technology options, this is an important question. With the evolution of Enterprise Resource Planning (ERP) platforms and the zealous implementations of many business consultants, the basics of planning were lost. Machine learning.
Below are the individual web links and prime takeaway messages from each of our prior postings: Part One : Michael observed that standard sourcing solutions struggle to support direct materials sourcing because of specific challenges in legacy software design.
Our first webinar with Oliver Wight discussed common people, process and technology pitfalls that hinder IBP initiatives. Our second webinar delved deeper into the technology aspect, focusing on analytical capabilities and scenario modeling.
There is no class of technologies, or common definition, for “control towers.” While there are many types of visibility (see Figure 1), the most common use case is either sourcing or transportation visibility. Contract manufacturing or 3PL data often will have a 24-hour latency due to batch integration. Business Use Cases.
The new world of supply chain analytics is my current research project. There is a great need for improved supply chain analytics. The average company has over 150 technologies; yet, they cannot get to data. There is now an analytics layer evolving to connect operational technologies with employee productivity tools.
There is no good system for visibility. Value networks do not interoperate and the business leader trying to track shipments must manually sync multiple data sources to get to answers. The current models for the technology providers are self-serving. Each technology provider operates in isolation. The reason?
Luckily, supply chain analytics is here to help! By harnessing the power of data and analytics, companies can uncover valuable insights into their supply chain processes, pinpoint areas in need of improvement, and make informed decisions that can boost their bottom line. Key Takeaways What is Supply Chain Analytics?
This posting is our fifth installment in an ongoing supply chain technology market education series. In Part One of the series , Michael observed that standard sourcing solutions struggle in efforts to support direct materials sourcing because of specific challenges in the software design.
As our Supply Chain Matters readers may have noticed from various social media feeds, this week has been one that featured two supply chain technology focused conferences and a noteworthy product release announcement. This application is built on Kinaxiss AI-powered Maestro platform and delivered by select Kinaxis supply chain experts.
The IT taxonomy for visibility is supply chain analytics. As a result, when I was a Gartner analyst and technology providers would provoke me to write a Magic Quadrant on visibility solutions, I would laugh. When we ended the discussions, we agreed that visibility is supply chain capability not a well-defined technology classification.
In this commentary we focus specifically on the importance of a broader end-to-end data management framework while overcoming the fragmentation of data that is locked in separate, unconnected software applications.
In addition, poor visibility, unpredictable demand, and disjointed systems worsen the situation further and lead to inefficient procurement, misplaced stock, and emergency orders. Thats why a growing number of organizations are turning to AI software for spare parts inventory management.
This posting is the third installment in our ongoing supply chain technology market education series. In Part One of the series , Michael observed that standard sourcing solutions struggle in efforts to support direct materials sourcing because of specific challenges in the software design and why.
The company was recognized for its work with iNova Pharmaceuticals, a distributor of prescription medicines and healthcare products, to transform its data management, demand and supply planning, replenishment planning and analytics framework. The platform approach was also a tremendous asset.”. Our business is complex.
Home Depot devoted a whole distribution center in Florida to hurricane relief supplies such as tools, generators, tarps, flashlights, batteries and chainsaws, to support more efficient distribution across the southeast. Use analytics. information is courtesy of this site: https://www.cga.ct.gov/2011/rpt/2011-R-0389.htm
Technology is constantly changing and efforts to keep up with those changes can be both head-spinning and costly. Nevertheless, there are some technologies that must be adopted in today’s business environment. One of the most important areas for technology investment is the supply chain. Artificial intelligence.
“By the end of 2020,” asserts the editorial staff at Material Handling & Logistics (MH&L), “one-third of all manufacturing supply chains will be using analytics-driven cognitive capabilities, thus increasing cost efficiency by 10% and service performance by 5%.”[1]
Nevertheless, over the past few years there have been some significant changes in the manufacturing sector, including the maturation of additive manufacturing and the emergence of the Internet of Things (often referred to as the Industrial Internet of Things (IIoT)). Manufacturing trends. Cognitive technology. ”[4].
Supply chain orchestration software provider Kinaxis held its annual kinexions customer conference last week in Austin Texas with this Editor in attendance. Infor and Kinaxis Strategic Partnership Just prior to the conference, mid-market ERP software provider Infor and Kinaxis jointly announced a partnership.
It also explains how analytics can help you determine the best way forward. Specifically, I will explore how PrescriptiveAnalytics can help you improve decision-making and make data actionable in an increasingly volatile economic landscape, instead of only providing insight into your data’s behavior.
This time last year artificial intelligence (AI) was an obscure, mainly academic, technology to most of us. In the last few months, however, there has been an avalanche of stories and articles about amazingly powerful AI tools that use everyday language. The impact of AI on manufacturing is that the skills used will be more advanced.
Today, software development is an effective marketing tool in the pharmaceutical market. It allows document flow automation, pharmaceutical production technology management, and wholesale and retail trade operations. In recent years, software development has found wide application in the pharmaceutical sector.
Introduction Global trade has entered a new era of volatility, with tariffs and trade restrictions already proving to be powerful tools of economic policy. Its a very dynamic environment, says Jason Clark, Exigers SVP for Manufacturing and Energy, in the webinar Preparing for Tariffs: Steps to Take Now. For instance, a U.S.-based
Predictive Analytics has emerged as a pivotal tool in this quest, offering unprecedented foresight into market trends, consumer behavior, and operational efficiencies. Modern BI systems play a critical role in ensuring the integrity of data by providing tools and frameworks for data cleansing, validation, and consolidation.
Supply planning enables you to profitably satisfy market demand through dynamically sourcing materials, optimizing production and manufacturing plans, reducing distribution costs and slashing lead times. Companies that have implemented a MEIO strategy have been able to reduce total system inventory by 20% or more.
Lora Cecere ( @lcecere ), founder and CEO of Supply Chain Insights, explains, “There is no class of technologies, or common definition, for ‘supply chain control towers.’ For a manufacturer, that might span from source to make to deliver. … Supply chains are complex, non-linear systems. ”[1].
It also explains how analytics can help you determine the best way forward. Specifically, I will explore how PrescriptiveAnalytics can help you improve decision-making and make data actionable in an increasingly volatile economic landscape, instead of only providing insight into your data’s behavior.
This is compounded by the fact that many raw materials are sourced from a limited number of suppliers and regions. Beyond the well-documented API sourcing problems, shortages in excipients, packaging materials (including vials and syringes), and electronic components for medical devices also contribute to delays.
While these teams try to piece together the picture, which is difficult, in rooms with few details, overall excitement for supply chain technology advancement is waning. Value Chain Uberization: a platform to enable shared resources across a community. No one makes better software than SAP when they are clear on the business problem.
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