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In a survey we conducted in October 2020, 91% of our Indago supply chain research community members, who are all supply chain executives from manufacturing, retail, and distribution companies, either Agreed or Strongly Agreed that the time had come to transform the traditional transportation procurement process.
Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
Supply chain practitioners seeking the best way to speed decision intelligence, unify supply chain data, and increase operational efficiency can benefit from a supply chain data gateway. Here are 10 ways a supply chain data gateway can improve your performance across the end-to-end supply chain.
Access to Unique Process and Asset Capabilities: Some suppliers offer unique skills, technologies, or processes that are not available in-house or through other sources. Or they may have expertise in manufacturing processes and have flexible capacity to allow contract manufacturing for new product introduction.
For global manufacturers, managing direct and indirect material spend can get very complicated very quickly. Multiple legacy systems prevent procurement from standardizing processes and tracking what they’re spending with each supplier.
Companies leaning heavily on global sourcing? Theyre feeling the heat most, as sudden trade policy curveballs throw procurement plans into chaos. manufacturer I know saw their import costs jump overnight, forcing a rethink of a decade-old sourcing strategy. What Is Agile Procurement?
The company aims to change this with the expansion of its data fabric portfolio. A supply chain data fabric can help companies augment their supply chain processes. Those can include suppliers, contract manufacturers, logistics service providers, customs brokers, governmental agencies, and other participants.
Home Introducing Freightos Enterprise: End-to-End Procurement, Benchmarking, and Management Freightos Enterprise unifies market intelligence, tender management, and shipment operations into one solution, enhancing logistics efficiency for large import-export businesses.
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. When a procurement contract is negotiated, the buyer has planned to achieve a certain level of savings.
Continual technological changes necessitate adjustments to manufacturing and supply chain processes, leading to a heavy volume of contracts that outpaces most industries. The high-tech and telecom sectors face a contract management crisis if the process isn’t managed properly. What can CPOs do to ease the contract management burden?
If your systems are disjointed and you lack the ability to analyze masses of data in real time, you will struggle to deliver on-time, in-full and your reputation and revenue will be negatively impacted. Optimizing fulfillment requires a series of steps to get a shipment from its source to the end customer.
The most common form of trading partner collaboration is purchase order collaboration. With PO collaboration, buyers send digital purchase orders over the network to suppliers or other trading partners. They sell to the automotive, data communications, medical, industrial, consumer electronics, and other industries.
Procurement and supply chain management are often used interchangeably—but in practice, the lines between them can blur in ways that create real friction. Misaligned priorities, siloed systems, and unclear ownership can directly impact key performance indicators like cost savings percentage and procurement cycle time.
For example, if I improve the cost structure in transportation, procurement, manufacturing and sales independently, what decision support framework decides the right trade-offs? The history of this research effort with Georgia Tech ISYE uses Y-Chart data. You are right. This work was expensive. How Do You Drive Value?
Medical and pharmaceutical manufacturers have faced increasing logistical challenges over the past two years. Readers will also find key suggestions from procurement leaders in the healthcare space on how to prepare for the future. Increasing demand for specific products is also causing supply chain shortages.
Traditional supply chain planning, which relies on historical data and reactive adjustments, is no longer adequate for managing these challenges. AI as a Predictive Tool AI-driven supply chain planning integrates machine learning, real-time data analytics, and external risk monitoring to anticipate disruptions before they materialize.
Strategic sourcing and innovative solutions are often viewed as two distinct procurement tools, but they should not be seen in isolation. Think of them as apples and gearseach essential and effective on its own, yet when combined; they create a formidable mechanism for achieving procurement excellence.
(TSX: KXS) an end-to-end supply chain orchestration, today announced a new partnership that will deliver improved alignment of supply chain plans with business objectives and strategies for midmarket discrete manufacturing companies. Were thrilled to partner with Infor to help manufacturers be more agile and resilient in the long term.
Home Introducing Freightos Enterprise: End-to-End Procurement, Benchmarking, and Management Freightos Enterprise unifies market intelligence, tender management, and shipment operations into one solution, enhancing logistics efficiency for large import-export businesses.
Speaker: Adam Robinson, Director of Marketing, Cerasis
We’ll address how automation in the supply chain will provide employees with the following: More Strategic Procurement. More Efficient Manufacturing as well as ability to fill the skills gap & make more strategic employees. Using Automation Driven Data for Improved Actionable Insights.
That’s the power of manufacturingdata collection. Data transforms operations. Manufacturingdata collection is your secret weapon for boosting efficiency, cutting waste, and staying ahead of the competition. Let’s dive in and unlock the potential of your manufacturingdata.
Automotive: Can JIT manufacturing survive legal disruptions to tariff policy? Automakers must model dual-path sourcing strategies and reintroduce buffer inventory—not just for parts, but for regulatory flexibility. Every major industry now faces a unique supply chain challenge. But failing to seek alternatives is also risky.
In May 2025, one in seven home-purchase agreements fell through resulting in the cancellation of 56,000 purchase contracts. Employees Cannot Get to the Right Data at the Speed of Business A war is raging between Oracle, Salesforce and SAP to automate supply chains. The key is to use channel data and decrease demand latency.
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. Procurement is another area seeing change.
Speaker: Fernando Penteado, CPSM - Supply Chain and Logistics Executive, Global Markets Expert, and International Speaker
Now, as a variety of disruptive events cause supply chain challenges, companies are contemplating bold moves to keep business moving, including moving sourcing and manufacturing closer to home markets and maintaining a larger reserve stock to help manage the fluctuations in supply and demand.
Once upon a time, the world of manufacturing was a relatively stable place. So how does a manufacturer navigate this rollercoaster? With crystal clear, up-to-the-minute, and accurate data that enables organizations to see what’s happening across their entire supply chain and take smart, decisive action.
Running a manufacturing business isn’t easy. That’s where a manufacturing ERP comes in. Manufacturing ERP (Enterprise Resource Planning) software integrates all your core business processes into one powerful platform. It’s a lot to handle. Let’s get started.
At a division of one of the world’s largest consumer goods companies, 85% autonomy on manufacturing plans and 95% acceptance of proposed purchase orders has been achieved. The platform collects data and makes sure the master data is internally consistent. If a user makes changes to the plan, they log that data.
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. Misaligned priorities across finance, legal, and procurement create friction that delays decision-making and reduces impact.
Supply chains, which facilitate the movement of products from manufacturers to consumers, have historically encountered issues such as inefficiency, fraud, and a lack of transparency. Companies find it difficult to fully trust the data from suppliers, complicating efforts to ensure product authenticity, safety, and ethical sourcing.
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. Walmart is also implementing AI-driven logistics and procurement.
Scaling manufacturing operations is crucial for business growth but presents unique challenges. Balancing increased demand with consistent quality and controlled costs is difficult but essential for manufacturers looking to expand. Successfully scaling manufacturing requires more than just adding resources.
The ability to drill down into this data at multiple levels ensures that sustainability measures are implemented and optimized for various supply chain segments. Since many organizations currently purchase carbon offsets, they can easily define the carbon cost of avoided emissions by translating the price of offsetting.
While executive support for purchasing SCP has waned, future sales of supply planning are still linked to a suppliers ability to support agile planning. They also cover supplier-managed inventory, quality collaboration, manufacturing line collaboration, and asset collaboration. For SAP, good planning relies on robust collaboration.
Edge Hardware: The battle for edge hardware also intensified in 2024, as companies sought to deploy AI capabilities closer to the source of data. This puts pressure on other device manufacturers to follow suit. ChatGPT Search : This feature gives users a way to get answers from relevant web sources.
The high-tech firm is more than a manufacturer of PCs, tablets, smartphones, and servers. The company has more than 2000 suppliers and operates over 30 manufacturing sites. It might highlight logistics jams, manufacturing capacity, quality issues, or procurement cost trends. Thousands of AI data scientists work for us.
Most of the business networks were hollowed out by venture capitalists or purchased by opportunists. The big data architectures are often present in the current “AI offerings.” The building of data listening platforms to enable teams to answer the questions that they did not know to ask.
Data-Driven Decision Making : Using analytics to continuously refine operations. This data should come from a system that can track multiple, moving parts and integrate with existing technologies. If you are using a legacy system, switching to an automated data collection solution like RFgens IMS may be the first step.
Ibrahim Al Syed, the director of digital manufacturing at Celanese, was surprisingly forthcoming about how Celanese developed these capabilities at ARC Advisory Groups 29th Annual ARC Industry Leadership Forum. The company has 55 manufacturing sites across the world. We needed to model the data in a way that we can do simple searching.
Let’s take a closer look at how four key industries—automotive, consumer packaged goods (CPG), high tech, and industrial manufacturing—are navigating the tariff rollercoaster and adjusting to the shifting landscape. Key takeaway Top challenge: Sourcing volatility driven by EV component shortages and fluctuating global tariffs.
This added responsibility for companies will have lasting effects on business operations, corporate partnerships, supply chain logistics, compliance requirements, and data integrity. Regulations requiring Scope 3 emissions data from companies, create an end-to-end value chain reporting issue.
That tightly integrated advanced planning (APS) coupled to Enterprise Resource Planning (ERP) using order data is sufficient. I think that the answer has five parts: The Belief that the Industry Has Best Practices. Functional Metrics and the Lack of Alignment to Strategy. The Lovefest with Shiny Objects.
Moving data from the enterprise to a trading partner in point-to-point communication is not a network. Electronic Data Interchange (EDI) does not meet this definition. To improve asset utilization more products were outsourced to third-party manufacturing (average of 32%). In Figure 2, we share the time to get data in networks.
This ambitious initiative is set to transform various aspects of the supply chain, from manufacturing and job creation to research and development, infrastructure upgrades, and sustainability efforts. Manufacturing and Job Creation Apples plan to create thousands of new jobs and expand its manufacturing capabilities within the U.S.
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