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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.
Frederic Laluyaux, the CEO of Aera Technology, agrees with this assessment. Masson of ARC points out, “Each AI use case requires specific datasets and may necessitate different tools and techniques.” Warehouse management systems rely on RF scans of locations and products. trillion rows of data into the platform. “So
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.
Similarly, UPS uses its ORION system, which integrates real-time and historical data to optimize delivery routes, saving fuel and enhancing delivery reliability. Enhanced Efficiency Through Real-Time Data Connected vehicle technology drives efficiency improvements across route planning, driver safety, maintenance, and fuel management.
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.
CTSI-Global operates at the intersection of logistics and technology, focusing on solutions that address the challenges of transportation management. Designed to integrate seamlessly with enterprise resource planning (ERP) systems through APIs and batch processes, the TMS facilitates smooth data flow and operational efficiency.
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.
In response, many organizations have shifted toward decentralized and regionalized supply chain models, distributing production and sourcing across multiple regions. However, recent disruptions including health crises, trade disputes, logistics bottlenecks, and climate-related events have exposed significant vulnerabilities in this model.
Manhattan joins a select group of supply chain software suppliers generating over $1 billion in annual revenue. Manhattan Associates is a leader in two markets, warehouse management systems and omnichannel systems. Manhattan has been on a journey to get all their products on their microservices cloud-native Active Platform.
Drawing on our work with global companies across manufacturing, automotive, pharmaceuticals, semiconductors, software, technology, financial services, and a range of service industries, we outline the key strategic and tactical actions companies are taking to navigate this period of heightened uncertainty.
For professionals in logistics and supply chain management, understanding the implications of this technology is crucial, as it has the potential to fundamentally change the way goods are transported and delivered. These technologies ensure that the vehicle can avoid obstacles, follow traffic rules, and make decisions about its environment.
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.
Will we transform and improve supply chain planning systems based on AI? As companies consider purchasing new solutions based on better planning engines—machine learning, rules-based ontological frameworks, narrow AI, pattern recognition, large language models, and sentiment analysis— I ask for the use of caution. Again, who knows?
Logility, a conservative company supply chain planning technology, historically had no debt and cash reserves of more than 80M, is undervalued in this deal. Aptean is orchestrating the Blue Yonder/E2open/Infor playbook of buying undervalued assets and milking the maintenance and Software-as-a-Service contracts with existing customers.
For decades, operations research professionals have been applying mathematical optimization to address challenges in the field of supply chain planning, manufacturing, energy modeling, and logistics. Are evaluating tools and implementation approaches. Want a high level understanding of typical use cases for mathematical optimization.
Today, data and software programs can be saved or run in any data processing center in the world. Cloud computing has made installation, administration, and updates significantly easier and has thereby laid the foundation for Software as a Service (SaaS). Rapid integration. All-round care package with clear cost structure.
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.
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.
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.
Scenario modeling is emerging as a key capability. To help you start 2021 strong, we updated our popular Buyer's Guide for Supply Chain Network Design Software with research insights and learnings. The Current Technology Landscape: Perceptions on network design technology. What’s inside?
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.
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.
One essential tool used by the supply chain team is supply chain design. Building automation is similar to industrial automation, except that instead of controlling a factory, the systems control a building’s entry, power consumption, and lighting. Initially, regions generating lower revenue were modeled.
Duncan Angove, CEO Blue Yonder Blue Yonder , is one of the largest providers of supply chain software. In the fourth quarter, we delivered the second largest software bookings in the history of the company. That was driven, in part, by pivoting from selling point solutions to a set of applications on a common platform.
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. What's inside? Scenario analysis and optimization defined.
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. Manufacturing : A smart factory relies on IT-OT integration.
Blockchain technology is supporting this by providing a secure, decentralized, and tamper-proof method for real-time product tracking. ERP & SCM Systems (2000s2015): Centralized ERP suites (e.g., ERP & SCM Systems (2000s2015): Centralized ERP suites (e.g.,
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.
Retrofitting existing infrastructure with energy-efficient technologies further enhances sustainability efforts. Critical practices include: Circular Supply Chains: Designing systems that minimize waste and emphasize recycling and reuse. Advanced route optimization tools further support these goals.
This report explores how the state of supply chain network design has changed – including how the tools, maturity models, and market demands are transforming the network design practice. Advanced analytics & Scenario Modeling. This report is useful if you are interested in: Exploring new network design insights and capabilities.
Traditional supply chain planning tools rely on deterministic forecasting, generating single-point estimates that often misrepresent real-world complexities. By setting customized service levels for each SKU-location combination, their supply chain planning software reduced inventory costs by 25% while improving service levels to over 99%.
It is a brilliant tool.” The enterprise software company also announced a new analytics solution covering external workforce management. SCCN solutions allow trading partners to collaborate across defined trading partner processes based on a common data model. Those types of disagreements disappear in a SCCN platform.
As automation continues to evolve in logistics, two technologies are becoming central to modern delivery methods: autonomous drones and autonomous vehicles. However, each technology serves different purposes within logistics, and the question remains: Which will ultimately shape the industry’s operational structure?
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.
If the last few years have illustrated one thing, it’s that modeling techniques, forecasting strategies, and data optimization are imperative for solving complex business problems and weathering uncertainty. Experience how efficient you can be when you fit your model with actionable data. Don't let uncertainty drive your business.
Companies must take a pragmatic approach leveraging supply chain planning technology and strategic decision-making to effectively navigate tariff volatility and uncertainty. Platform Revisions to Material Sourcing Re-evaluating Bills of Materials (BOMs) and redesigning sourcing strategies can help reduce reliance on high-tariff regions.
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. Manufacturing : A smart factory relies on IT-OT integration.
An automotive company I collaborated with conducted detailed modeling of potential tariff impacts on semiconductor supply chains. Technology Integration : The adoption of artificial intelligence has proven transformative in supply chain management.
Traditional supply chain planning tools rely on deterministic forecasting, generating single-point estimates that often misrepresent real-world complexities. By setting customized service levels for each SKU-location combination, their supply chain planning software reduced inventory costs by 25% while improving service levels to over 99%.
Companies are now running models on a quarterly basis, and sometimes more frequently, to adjust to changes in their business landscape. Analysts who are moving from spreadsheets to more advanced modelingtools. That’s what Supply Chain Network Design is all about. Rising volatility and uncertainty have changed that.
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.
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. For those who know healthcare systems, they are astounding.
Even digital advancements, like Enterprise Resource Planning (ERP) systems, only partially solve these challenges because they still need centralized oversight and reconciliation. Smart contracts are software programs that self-execute and are stored on a blockchain. Smart contracts offer a new approach.
“Supply chain analytics creates new insights that help improve supply chain decision making from the improvement of front-line operations to strategic choices, such as the selection of the right supply chain operating models.” – McKinsey & Company. Imbalance in product lines, creating asset underutilization.
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