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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.
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.
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.
However, as carbon taxes and emissions reporting requirements continue increasing, supply chain professionals face mounting pressures from inside and outside their organizations to measure and improve performance against new, nebulous sustainability metrics. Freight transportation makes up over 10% of total global carbon emissions.
Enterprise procurement teams face growing pressure to deliver strategic value – managing supplier risk, ensuring compliance, and supporting sustainability – all without sacrificing speed or control. This blog explores the most common challenges in digital procurement and the capabilities that matter most.
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than ever—juggling cost control, compliance, supplier risk, and internal complexity, all while trying to modernize outdated systems.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 this type of environment, traditional procurement software and manual processes are insufficient – and many procurement teams are looking to artificial intelligence (AI) for answers. Key Takeaways Understand the potential impact of AI – including Generative AI & AI Agents – in procurement.
Sudden tariff increases can quickly make a cost-optimized procurement strategy untenable, leaving companies scrambling to adjust. Second, many supply chains still lack visibility beyond Tier-1 suppliers. The ability to pressure-test decisions before committing real resources significantly improves response quality.
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.
Procuring transportation for freight is much different than any other procurement category. Transportation procurement needs to support both customer service and a company’s internal supply chain goals. One master of freight procurement is Kyle Masters. Procurement ran a request for proposal event.
Traditionally, procurement has been a process weighed down by manual tasks, fragmented systems, and endless paperwork. Today, procurement is undergoing a transformation. While procurement teams have long worked to add strategic value, Artificial Intelligence (AI) amplifies their impact.
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.
Modern supply chains thrive on real-time data, execution-focused applications, and dynamic decision-making. 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.
Do Set Clear KPIs and Governance Structures : Establish transparent metrics for sales, coverage, and service levels. Do Embrace Technology and Data : Use real-time data for demand forecasting, inventory management, and route optimization. Digital visibility enhances agility and decision-making.
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.
Capturing carrier data gives you more visibility into your freight spend and enables you to make data-driven decisions that positively impact your business. Analytics provides visibility into your transportation network and operations. report that the pandemic is accelerating the automation of the procurement process.
GEP and the North Carolina State University (NCSU) Supply Chain Resource Cooperative surveyed supply chain, procurement and IT professionals across a range of industries to gain insight into their priorities and strategies regarding supply chain resilience and optimization. Alex Zhong, Director Product Marketing at GEP.
Tesco and Walmart have announced procurement policies aimed at reducing carbon emissions and promoting sustainability throughout their extended supply chains. AI can integrate with procurement platforms, utility meters, logistics trackers and internet of things sensors to gather real-time data.
Strong vendor relationships are critical for business success, especially when it comes to managing inventory and procurement. Vendor Relationship Management (VRM) helps businesses manage supplier interactions, track performance, and ensure smooth procurement processes.
Koganti urged the procurement audience to look for whats referred to as “foresight function” in planning tools, which is capable of enhancing data analysis, scenario generation and trend identification , allowing for more informed and proactive decision-making, albeit with human oversight.
This article is derived from our newest SRM White Paper, “One Platform, One Vision – The Benefits of a Unified AI-Driven Supply Chain Planning & Procurement Decision-Making Platform” Ask a procurement leader and a supply chain planner about their biggest priorities, and you’ll likely hear two very different answers.
The Role of Agentic AI in Supply Chains Supply chains are dynamic and complex, requiring continuous decision-making across multiple functions, from procurement and inventory management to logistics and demand forecasting. Helps businesses drive cost savings and mitigate procurement risks.
In this article, we’ll explain what centralized purchasing is, the challenges it tackles, the benefits of centralized procurement, and the types of companies that can benefit most from it. That’s when a centralized procurement organization structure proves beneficial.
The larger the organization, the more tension with conflicting functional metrics making decisions more difficult. The gap between logistics and procurement; and logistics and customer service increases process latency. Functional metrics need to be abandoned to focus on balanced scorecard outputs. Supply Chain Visibility.
Top 3 Procurement Technologies to Embrace in 2025 Staying ahead of key procurement technology and advancements is essential for CPOs who want to improve spend cost reduction, drive strategic value, and navigate the increasingly complex procurement landscape.
The article mentions the ways through which Shopify integration with CRM software can improve supply chain visibility, customer experience, and operational flexibility. Today, their functionality has increased, and businesses are leveraging CRM systems for demand forecasting, buyer behavior analysis, and more intelligent inventory management.
The data is all anonymous, but retailers can look at metrics such as time to fulfill, pack time, conversions, and ship versus pick-up, to name a few, across hundreds of Active Omni customers. Zebra also showcased a partnership with FourKites, using the latter’s real-timevisibility platform for labor management integration.
The landscape of public sector procurement has undergone significant transformation in recent years, driven by advancements in technology, evolving regulatory frameworks, and an increasing emphasis on sustainability. Predictive analytics powered by ML helps organizations anticipate procurement trends and identify potential risks.
That means identifying areas of waste, overlap and large volumes and enabling continuous improvement through the use of transportation metrics to track performance. True optimization applies data to ensure all decisions and processes are carried out to their fullest potential.
Today it is possible to fully engage the knowledge and capabilities of an extended enterprise across their supply chain in realtime. Today it is possible to fully engage the knowledge and capabilities of an extended enterprise across their supply chain in realtime. Realtime response to alerts, issues, and exceptions.
Digital control towers sit at the heart of the supply chain ecosystem, gathering real-time data on current conditions. As logistics organizations dynamically plan and re-plan carrier selection, distribution networks, delivery routes and frequencies, loads and capacities in realtime as conditions change, the benefits can be enormous.
Production Capacity Analysis While traditional testing methods can be time-consuming and offer incomplete data, focusing on key production metrics within the manufacturing process provides more actionable insights. Consider these essential metrics: Asset Utilization: How efficiently are your machines being used?
But instead of guessing what’s happening, you’ve got real-time insights at your fingertips. Understanding Manufacturing Data Collection Manufacturing data collection is about gaining real-time production insights that can transform your operations. That’s the power of manufacturing data collection.
To deal with the new challenges in managing and planning the supply chain , the procurement department is one of the functions that should look at changing. It is no longer sufficient for procurement to focus just on supplier costs, placing orders and ensuring goods are received. The situation changes with a larger number of suppliers.
As global supply chains and procurement scrutiny become more and more complex, risks increase and the range of stakeholders who demand a compliant supply chain has increased from simply regulators to investors, providers, partners, consumers, and the media. Having a 365-degree view of every vendor in your supply chain is imperative.
Supply chain management typically does not fit very well with procurement, which is a challenge at the best of times, and can be a disaster in difficult times. It is now a matter of planning the procurement system and the supply management system outside-in and then look at the true demand to minimize the latency.
Within supply chains, AI acts as the control tower—intercepting real-time data, predicting outcomes, and prescribing optimal actions. The Strategic Shift: How AI is Reshaping Retail Supply Chain Modern retail is characterized by hyper-personalization, dynamic fulfillment, and real-time adaptability.
Beyond automation, digital systems like Manufacturing Execution Systems (MES) provide real-timevisibility into production activities. Project management software for manufacturing environments can also centralize scheduling, task assignments, and workflow visibility.
By embedding analytics across logistics, sourcing, and fulfillment, businesses gain the visibility and foresight needed to stay competitive.Analytics-driven leadership is no longer a luxury; it’s the foundation of operational survival in todays volatile business environment. Analytics allows organizations to move beyond intuition.
Maybe, but what is certainly clear from the examples is that the complexity of modern supply chains requires better visibility into every phase of production and distribution. And better visibility requires data. COGS, Total Supply Chain Cost, Productivity, Returns Rates, Carry Cost of Inventory. First contact resolutions.
Introduction Gardner, (1954) and Huntzinger, (2007) define Purchase price variance (PPV) as a metric used to measure the effectiveness of cost-saving efforts by calculating the difference between the planned cost (standard pricing) allocated for purchasing activities and the actual cost incurred.
Collaboration across Tier 1, Tier 2, Tier 3, and beyond requires visibility and communication regarding capacity, cost, risk, order quantities, inventory levels, quality , timelines, logistics, and more. Collaboration brings visibility and agility for gaining market share.
Leveraging powerful tools like Inventory Management Software , todays COOs gain real-timevisibility, streamline operations, and make faster, smarter decisions that keep their businesses ahead of constant change. Integrate logistics, procurement, manufacturing, and distribution for seamless delivery.
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