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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.
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.
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.
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.
A disruption at any point in the global logistics network including the average of 12 touch points from shipment packaging to final delivery can prove disastrous for profits, service levels, customer loyalty, and other key metrics. That may sound impossible, but new technology places this capability within the reach of every organization.
Reducing cost was the primary objective, and most operational decisionsfrom sourcing to fulfillmentreflected that mindset. Sudden tariff increases can quickly make a cost-optimized procurement strategy untenable, leaving companies scrambling to adjust. These tools dont need to cover the entire network to be useful.
While past efforts focused on meeting compliance requirements, organizations are now working to proactively embed environmental, social, and governance (ESG) principles into their sourcing, production, and distribution activities. Building supplier capabilities while maintaining sourcing flexibility requires additional investment.
In this type of environment, traditional procurement software and manual processes are insufficient – and many procurement teams are looking to artificial intelligence (AI) for answers. Without the right tools, it’s difficult to properly vet vendors or catch the early warning signs of potential fraud or other issues.
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.
In follow-up qualitative interviews, one of the largest issues with organizational alignment was metric definition and a clear definition of supply chain excellence. In my post Mea Culpa, I reference my work with the Gartner Supply Chain Hierarchy of Metrics. Error is error, but is it the most important metric? My answer is no.
It creates a single source of truth for your rate management, automating RFQs and streamlining the entire procurement process. billion rate data points monthly to provide the most comprehensive view of the market, helping you identify savings opportunities and make data-driven decisions.
The global supply chain landscape is undergoing significant transformations, influenced by rapid technological advancements, shifting consumer expectations, and the intricacies of international commerce. Preparing the next generation to excel in this dynamic field requires more than traditional education methods.
AI is reshaping the way organizations source, manage suppliers, and drive value today. As supply chains become more interconnected and risks more dynamic, traditional procurement tools fall short. AI agents offer a smarter, faster way to manage sourcing, risk, and spend across the entire procurement lifecycle.
AI is reshaping the way organizations source, manage suppliers, and drive value today. As supply chains become more interconnected and risks more dynamic, traditional procurement tools fall short. AI agents offer a smarter, faster way to manage sourcing, risk, and spend across the entire procurement lifecycle.
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.
Senior leaders must think beyond incremental improvements, embracing systemic innovation to achieve significant environmental impact. Meanwhile, advances in AI-driven route optimization reduce unnecessary mileage, cutting emissions and costs. Ethical sourcing is a fundamental aspect of social sustainability.
Unfortunately, outdated tools and fragmented processes make it difficult to maintain visibility across the supply chain and adapt at the pace of business. Digital procurement streamlines workflows and unifies data, enabling faster sourcing, better collaboration, and improved accuracy.
Small companies outperform large companies, and the marquee customers of major supply chain planning technology providers underperform. The issue is that when companies optimize functional metrics, they throw the supply chain out of balance and sub-optimize value. Supply chain leaders love bright and shiny objects.
It’s the key to transforming your supply chain from a source of frustration into a well-oiled, profit-generating machine. By harnessing the power of data science and analytics, you can gain end-to-end visibility across your entire network, breaking down information silos and optimizing every stage of your operations.
But between rising costs, complex logistics, and the constant struggle to optimize space and labor, staying ahead can feel like an uphill battle. That’s where warehouse optimization comes in. Here’s what you can expect: A clear definition of warehouse optimization and its core components. Ready to get started?
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.
They need visibility across multiple internal systemslike ERP, CRM, and financial platformsand even external sources shared with suppliers, partners, and customers. Thats why modern BI systems are quickly becoming the go-to solution for data-driven enterprises. But lets be clear: not all BI platforms are created equal.
In a major advancement for global supply chain technology, project44 has launched Movement, a comprehensive Decision Intelligence Platform that transforms how businesses manage their supply chains. The platform is built on a four-layered framework: Connect, See, Act, Automate.
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. Celanese chose the Data Fusion platform from Cognite as their industrial data platform. Al Syed elaborated. Celanese has 2.5
Samuel Parker and Joe Lynch discuss DAT iQ: the metrics that matter. Samuel is an experienced market strategy and product leader with over 10 years of experience in supply chain logistics and innovation, specializing in helping technology companies build high-performing Go-to-Market teams. Samuel has his B.A.
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. As companies across industries have discovered, a well-optimized supply chain can drive significant improvements throughout their operations.
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!
It’s a tough challenge, and if you’re relying on outdated processes and technology, it’s likely costing you more than you realize. By replacing manual, paper-based processes with digital tools, you can transform your warehouse into a highly efficient, accurate, and connected operation.
It creates a single source of truth for your rate management, automating RFQs and streamlining the entire procurement process. billion rate data points monthly to provide the most comprehensive view of the market, helping you identify savings opportunities and make data-driven decisions.
Driving decarbonization with technology In 2023, the SAP CPO Think Tank community has been closely examining how companies can accelerate supply chain decarbonization. Decarbonization – in other words, the effort to reduce CO 2 emissions by transitioning away from fossil fuels – is a crucial tool in combatting climate change.
Proactive Security Measures:DAT employs a range of proactive measures, including multi-factor authentication, advanced monitoring tools, and regular security testing, to safeguard user accounts and data, and to prevent fraudulent activities like identity theft and double brokering.
End-to-end supply chain visibility, planning, and execution support software are critical in agile supply chain performance. CPG companies that utilize an autonomous supply chain technology see a reduction in their inventory and cost and an increase in revenue. each with discrete plans generated typically in sequential batch runs.
We need planning platforms to keep up with all the changes. This means we need more agile, flexible, and scalable planning platforms to process and consolidate new data sources, drive insights using advanced analytics such as AI/ML to drive autonomous decisions, and expand collaboration within and outside our organizations.
These virtual replicas of physical assets, processes, or systems allow leaders to simulate, analyze, and optimize real-world performancewithout incurring real-world risks. Traditional planning tools often lack the agility to respond in real time. Step 3: Choose the Right Platform You dont need to build from scratch.
The first Gartner Magic Quadrant for Supply Chain Planning that I participated in as a technology vendor was in 1995. Not much has changed in the methodology, but a lot has changed in the market–consolidation, technology advancements, and the growth of the global multinational. The supply chain is a complex, non-linear system.
Do Invest in Distributor Capability Building : Provide training, digital tools, and performance incentives. Do Set Clear KPIs and Governance Structures : Establish transparent metrics for sales, coverage, and service levels. A well-equipped distributor is an extension of your brand and a key to market penetration.
In this blog post, we’ll explore the challenges of inventory management in today’s manufacturing landscape , discuss the importance of a “single source of truth” for global inventory, and introduce a powerful solution that can help manufacturers transform their operations and drive profitability. How do they achieve this?
For organizations layered in functional metrics and driving a cost agenda, this is a tough nut to crack. During the pandemic, companies struggled with planning systems turning off the optimizers, and using the technology as a system of record. Build in-market sourcing. Tougher than most understand.
What is Vendor Relationship Management (VRM) and Why It’s Essential for Your ERP and Inventory Software? Let’s explore why these features are crucial for optimizing supplier relationships and driving business growth. In VRM systems integrated with Kechie ERP software, you can assign vendors to specific general ledger accounts.
This tells us that one of the focal points for increasing customer satisfaction within last mile delivery includes optimized delivery options. Finding the optimal balance between ever-changing consumer needs and operational costs is an ongoing challenge. Choose software that integrates multiple systems and optimizes planning.
In this final blog on agility and why you should consider becoming an agilist to survive the new completion (of the continuous mention) of the application of enterprise decision management systems (EDMS) from Taylor and Raden cited in the first blog, I turn to the metric of agility and a new ROI metric of decision yield.
Traditionally, procurement has been a process weighed down by manual tasks, fragmented systems, and endless paperwork. AI in procurement refers to using advanced technologies to make procurement processes faster, more efficient, and data-driven. Today, procurement is undergoing a transformation.
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