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Ted Krantz, CEO of Interos Interos , a company providing supply chain resilience and risk management software, emailed me to say that there was a supply chain risk everyone seemed to be ignoring – AI-related risks. The AI-related risks include data poisoning and model corruption. It is well known that ChatGPT can hallucinate.
The current AI landscape can be viewed as a series of wars,” where companies and organizations are battling for dominance across various technological and market battlefronts. Datacenter Hardware: The demand for powerful computing to train ever larger and more accurate AI models is insatiable.
During COVID, this more agile and resilient model allowed the firm to grow their market share. Jack Fiedler : We’re unique in the technology industry. We’ve taken the same hybrid approach from a supply chain technology perspective. I’m responsible for the overall digital transformation, including technology.
Companies that previously prioritized cost-cutting and centralized sourcing quickly found themselves exposed to serious production and distribution risks. In response, many organizations have shifted toward decentralized and regionalized supply chain models, distributing production and sourcing across multiple regions.
Multiple legacy systems prevent procurement from standardizing processes and tracking what they’re spending with each supplier. For global manufacturers, managing direct and indirect material spend can get very complicated very quickly.
Three months into 2025, we have seen a barrage of on-again, off-again tariffs that have supply chain and logistics teams reeling, as they must rethink everything from next weeks shipping route to their foundational network models. That may sound impossible, but new technology places this capability within the reach of every organization.
Volatile markets, global disruptions, and the need for real-time insights are pushing traditional systems to their limits. Understanding AI Agents At its core, an AI Agent is a reasoning engine capable of understanding context, planning workflows, connecting to external tools and data, and executing actions to achieve a defined goal.
From balancing cost-efficiency with ethical sourcing to enhancing transparency and integrating corporate social responsibility (CSR), businesses face mounting pressure to align their operations with sustainability, technology, and energy practices. The energy sector provides a compelling example of CSR-driven compliance.
Organizations examine past sales trends, apply seasonal adjustments, and make forecasts based on historical models. When unexpected disruptions occura factory shutdown, a shipping delay, or a supply shortagethese models provide little flexibility. Executives are left making high-stakes decisions with incomplete information.
Think your customers will pay more for data visualizations in your application? Five years ago they may have. But today, dashboards and visualizations have become table stakes. Discover which features will differentiate your application and maximize the ROI of your embedded analytics. Brought to you by Logi Analytics.
Proactively adopting cleaner energy sources ensures alignment with these evolving regulations. The industry’s dependency on traditional energy sources necessitates an urgent shift toward cleaner alternatives. Retrofitting existing infrastructure with energy-efficient technologies further enhances sustainability efforts.
Companies must take a pragmatic approach leveraging supply chain planning technology and strategic decision-making to effectively navigate tariff volatility and uncertainty. Design product flexibility to include materials sourced for US and non-US markets or quickly adapt to different sources of materials.
This involves the use of new technologies on their platform. Data fabrics, knowledge graphs, a digital thread, and digital twin technologies are critical. The Need for Speed When you talk to supply chain planning software suppliers, they identify similar trends. The technology is more advanced than the business process.
Companies find it difficult to fully trust the data from suppliers, complicating efforts to ensure product authenticity, safety, and ethical sourcing. Blockchain technology is supporting this by providing a secure, decentralized, and tamper-proof method for real-time product tracking.
Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.
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.
As anyone who’s experienced change in supply chain technology over the past five-to-ten years can attest, we’ve come a long way, baby. Artificial intelligence, neural networks, machine learning, robotics, mobile apps, big data, the cloud and Software-as-a-Service (SaaS). The software is still under your control.
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.
Explore the most common use cases for network design and optimization software. This eBook shares how supply chain leaders leverage their supply chain design software to tackle a variety of challenges and questions. Modeling your base case. Modeling carbon costs. Diversifying sourcing and manufacturing.
Reducing cost was the primary objective, and most operational decisionsfrom sourcing to fulfillmentreflected that mindset. Lean models alone are no longer sufficient. All of this points to a larger issue: systems that perform well under stable conditions but lack the flexibility to respond when those conditions change.
SAP is embedding its generative Joule across the SAP Ariba source-to-pay solution portfolio to make it easier for their customers to manage routine inquiries, such as status updates, summarization, and frequently asked questions. It is a brilliant tool.” Those types of disagreements disappear in a SCCN platform.
I find that most companies’ understanding of supply chain planning is immature, and that next week, at the Gartner Supply Chain Summit in Orlando, that many will don their Mickey ears to discuss what I consider outdated supply chain planning models. Business leaders see the open sharing of feedback on software as too risky.
Companies leaning heavily on global sourcing? manufacturer I know saw their import costs jump overnight, forcing a rethink of a decade-old sourcing strategy. An automotive company I collaborated with conducted detailed modeling of potential tariff impacts on semiconductor supply chains.
Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.
Unexpected challenges like shifts in global markets, economic upheaval, commodity shortages, advancements in technology, or environmental changes can send shockwaves through operations in unexpected ways. With the right demand forecasting software and technology, businesses can transform volatility into an advantage.
Amul’s model supports small producers by integrating large-scale economics, cutting out intermediaries, and connecting producers directly with consumers. Amul’s supply chain model is a well-structured and decentralized cooperative framework that focuses on efficiency and farmer welfare.
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. Let’s explore them briefly in this blog post.
The new law meant that the way medical systems operated had to change. Procurement became a logical place for leading healthcare systems to focus. Adrian Wengert joined Saint Luke’s Health System in 2014. Luke’s system headquartered in Boise. As a result, hospital chains largely lacked competence in sourcing.
The global supply chain landscape is undergoing significant transformations, influenced by rapid technological advancements, shifting consumer expectations, and the intricacies of international commerce. These platforms enable learners to engage in collaborative projects that mimic real-world supply chain challenges.
When my fiance heard about the price, he advised that I find a local hairdresser and set up a frequent-shopper account with them for a few months until the tool is back in stock. And pretty much everyone realized that the old technologies used in planning are not going to cut it anymore when there are so many moving parts in the game.
From sourcing and bid evaluation to warehouse slotting and dynamic routing, AI tools support faster and more consistent outcomes by processing large volumes of operational data and identifying patterns that human decision-makers may overlook. These capabilities are now being integrated into mainstream TMS, WMS, and ERP platforms.
The combination of SAP agent technologies and Databricks data fabric solution, sets the stage for end-to-end enterprise orchestration. Every ten years or so, there is a technology that truly shakes up the enterprise and supply chain software markets. Vendors that embrace the new technology take market share.
Small companies outperform large companies, and the marquee customers of major supply chain planning technology providers underperform. All our great tools in our toolbox to improve supply chain planning, but my observation is that we are trying to AI stupid. This shift improves modeling options and the use of disparate data.
Knowledge Graphs are emerging as an important tool for building advanced AI capabilities. Agentic AI involves creating a system of interacting agents, each trained on a specific task or dataset. We needed to model the data in a way that we can do simple searching. Data must be modeled consistently across the organization.
Artificial intelligence (AI) and rapidly developing generative AI tools provide complex, real-time, and in-depth insights specific to supply chain management. These methods leveraged available historical data and market knowledge while blending the best features of various models to maintain peak accuracy.
Businesses will need to ensure accurate data reporting across core operations such as sourcing, procurement, and transactions. AI tools become more valuable when users can comprehend how the AI model arrived at its decisions. Consequently, demand for robust GTC solutions will continue to rise. from Canada and Mexico.
At ToolsGroup, we’ve long championed probabilistic demand forecasting (also known as stochastic forecasting) as the cornerstone of effective supply chain management software. In conventional supply chain planning , planners using basic tools (typically spreadsheets or legacy systems) forecast just one number for each item.
How are companies leveraging scenario modeling for network design and optimization ? Current Technologies in Use for Supply Chain Network Design . The company modeled scenarios and performed simulations in AIMMS Network Design Navigator with all their products grouped together. Read on for common use cases. .
With the E2E exception-base autonomous planning, the system automates decisions from demand forecasts, production plans, and order fulfillment strategies to delivery with minimal need for manual intervention. End-to-End Supply Chain Planning Platform The end-to-end process begins with data.
Strategic sourcing and innovative solutions are often viewed as two distinct procurement tools, but they should not be seen in isolation. Strategic Sourcing: The Foundation of Effective Procurement Strategic sourcing is far more than simply choosing suppliers. Click here!
During his tenure in the industry, he built innovative pricing and forecasting models, leveraging internal and external data sources to improve internal decision-making and increase profitability. Prior to joining DAT, Adamo led the pricing and decision science teams at FedEx.
Senior leaders must think beyond incremental improvements, embracing systemic innovation to achieve significant environmental impact. 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.
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