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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.
Source: mainebiz.biz In today’s rapidly evolving logistics and supply chain sector, warehouses are increasingly turning to innovative technologies to gain a competitive edge. Robotic arms handle repetitive and intricate tasks such as picking and placing items, whereas drones are employed for inventory management and surveillance.
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.
I laugh when business leaders tell me that they are going to replace their current supply chain planning technologies with “AI.” Each supply chain planning technology at the end of 2024, went through disruption–change in CEO, business model shift, layoffs, re-platforming and acquisitions. You are right.
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.” SAP’s Business Network is a supply chain collaboration network.
Trade policies are constantly evolving, forcing companies to assess how these changes impact customer demand, supply networks, fulfillment strategies, and cost to serve. To mitigate such risks, manufacturers need to learn from others and look at how they can: Diversify sourcing strategies to include (in this case) North American suppliers.
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.
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.
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.
Alerts and notifications from email, social channels, home devices, shopping apps and other platforms compete for our attention, creating an overwhelming stream of information. Decision-makers must operate with agility and speed, often orchestrating complex scenarios across vast supply chain networks.
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.
Enterprise procurement leaders are under more pressure than ever—juggling cost control, compliance, supplier risk, and internal complexity, all while trying to modernize outdated systems. AI, automation, and generative tools are redefining efficiency, allowing procurement teams to move from reactive to proactive decision-making.
A data-driven, technology-enabled approach is required to build resilience and efficiency. Just-in-time (JIT) inventory models, lean supplier networks, and offshore manufacturing reduced expenses but left companies exposed to disruptions. Sustainability tracking systems are also ensuring compliance with evolving ESG regulations.
They integrate AI into demand forecasting, inventory optimization, and logistics operations to improve efficiency, reduce costs, and mitigate risks. Excess inventory, stockouts, and increased transportation expenses are common consequences of outdated planning methods. Amazon is a leader in AI-driven supply chain management.
Industry-specific content is available for processes like Source to Settle, Procure to Pay, Order to Cash, and more. Automate: utilizes technologies such as RPA, IDP, and IPaaS. Automate: utilizes technologies such as RPA, IDP, and IPaaS. iPaaS provides a comprehensive set of tools for connecting applications.
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.
AI is not a new technology in the supply chain realm; it has been used in some cases for decades. Shippers’ end-to-end supply chain predictions are based on applying AI to OpenWeb searches, import/export records, data from sourcingplatforms like ThomasNet, federal logistics records, and other data.
Amul has established a robust network of chilling centers and processing facilities. Distribution Network : Amul employs a wide distribution network that includes a mix of direct sales to retailers, wholesalers, and through its own branded outlets. This extensive network ensures that products reach consumers efficiently.
Reducing cost was the primary objective, and most operational decisionsfrom sourcing to fulfillmentreflected that mindset. Finally, rigid fulfillment networks compound the problem. 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.
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 May 19 to 21, 2025, CeMAT Southeast Asia and LogiSYM Asia Pacific were co-located for the second consecutive year at Singapore EXPO, creating a comprehensive platform for the regions logistics and supply chain community. Chinese robotics companies featured prominently, including Geek+, Syrius Technology, Seer Robotics, and Bluesword.
As my client explains that they are delaying their project to build network interoperability due to complications with their Enterprise Resource Planning (ERP) upgrade, I tap my foot and sigh. While the desire to improve network interoperability is high, the organization’s mindset is focused on transactional efficiency.
Proprietary warehouse, transportation , and labor management systems bolted onto legacy ERP systems, all “enriched” with off-the-shelf and bespoke software solutions, are a recipe for disaster. The data locked in black boxes across your operating network causes you, and your network, to operate ineffectually.
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.
If you’re evaluating procurement technology or exploring ways to drive more value from existing systems, chances are you’re looking beyond tactical fixes – you want a smarter, scalable strategy. But when spend is scattered across systems, business units, and suppliers, finding those insights is easier said than done.
ToolsGroup identifies five key drivers shaping the future of supply chains: changing customer expectations, heightened competition, rising operational complexity, technological advancements, and geopolitical tensions. Technological Advancements Real-time inventory tracking and predictive analytics give leading firms a competitive edge.
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.
Your Aftermarket Supply Chain is More Complex Than You Think: Stop Guessing, Start Optimizing Lets be honest: managing spare parts inventory requires specialized strategies unlike any other inventory management process. Your distribution network spans multiple locations. Limited multi-echelon network optimization capabilities.
You’re juggling production schedules, managing inventory, keeping an eye on finances, and making sure everything runs smoothly on the shop floor. Manufacturing ERP (Enterprise Resource Planning) software integrates all your core business processes into one powerful platform. It’s a lot to handle.
This is amplified across the supply chain into an exponential impact on inventory and planned orders for manufacturing. As the global organization developed, companies increased their dependency on third-party manufacturing and distribution (increasing latency) without investing in value networktechnologies. Inventory Health.
With Starboard’s Digital Twin Technology, Logility Clients Can Better Answer “What if” Scenarios and Optimize Supply Chain Networks to Overcome Disruptions and Drive Growth. a Traverse City, Michigan based innovator of supply chain network design software. Learn more about the Logility® Digital Supply Chain Platform.
Suddenly, managing inventory is the name of the game for companies trying to manage working capital and maximize profit while keeping customers happy. And that’s where real-time perpetual inventory signals come in. The larger the company, the greater the danger of duplicative, conflicting, or siloed systems.
The survey’s results suggest a series of misalignments where gaps in process, technology and information flow can be a drag on productivity and optimization. Of the professionals surveyed, 59% saw the gap between procurement/sourcing and supply chain to be a major disconnect, and the most pressing pain point.
It showcases the latest products, technologies, and services from over 900 exhibitors across various sectors and industries. MODEX 2024, held in Atlanta, Georgia, from March 11 to 14, attracted more than 35,000 attendees and featured over 150 educational sessions, keynote speakers, and networking events.
In Orlando, thought leaders, procurement professionals, and supply chain executives came together under the theme of building resilient, responsive supply networks. Read our latest eBook to learn how our intelligent platform is helping organizations simplify complexity, accelerate response, and build lasting resilience.
These events impacted everything from facility operations and transportation routes to energy costs and inventory management. The logistics, supply chain, freight transportation, warehousing, and inventory management sectors often operate on razor-thin margins. tallying a staggering $182 billion in damages.
Your Aftermarket Supply Chain is More Complex Than You Think Lets be honest: managing spare parts inventory requires specialized strategies unlike any other inventory management process. Your distribution network spans multiple locations. Limited multi-echelon network optimization capabilities. The outcome?
As logistics networks become increasingly complex, the volume of real-time data generated by devices, equipment, vehicles, and facilities is growing rapidly. Edge computing processing data locally, near the source has emerged as a method to address these challenges by reducing latency and improving resiliency.
These virtual replicas of physical assets, processes, or systems allow leaders to simulate, analyze, and optimize real-world performancewithout incurring real-world risks. This article explores how digital twins are being deployed in transportation, warehousing, and network design. The Business Problem: Complexity Without Control 1.
The convergence of artificial intelligence and digital networkingtechnologies is fundamentally reshaping our operating models. The complexity of modern supply networks has surpassed what humans can effectively manage alone. First, we’re moving from sequential to concurrent planning and execution.
It’s a tough challenge, and if you’re relying on outdated processes and technology, it’s likely costing you more than you realize. Think about it: How much time is wasted hunting down misplaced inventory? Key Mobile Technologies for Warehouses A variety of mobile technologies can power your warehouse transformation.
tariffs on imports from Canada, Mexico, and China is impacting global trade networks, affecting industries ranging from automotive and electronics to agriculture and energy. auto parts are sourced from Mexico, making the tariff impact immediate and severe. Today’s escalation of U.S. Approximately 40% of U.S.
Supply chain efficiency is the cornerstone of success and involves the effective management of processes, resources, and technologies from procurement to production, transportation to warehousing. In the automotive sector, manufacturers are simultaneously reducing inventory costs and delivery times.
has demonstrated how lawsuits could reshape trade dispute resolution, creating a new paradigm where the legal system, rather than the legislature, has a deciding role in dictating trade flows. Automakers must model dual-path sourcing strategies and reintroduce buffer inventory—not just for parts, but for regulatory flexibility.
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