Tariff Impact on Mexican Companies: Scenario-Based Response Strategies

New U.S. tariffs are disrupting Mexican exports across key sectors, including automotive, agri-food and electronics. Nearly half of Mexico’s exports to the U.S. — over $233 billion — are now exposed to tariff impact due to non-compliance with USMCA rules of origin.

This timely bulletin outlines tailored actions to mitigate risk, stabilize operations and capture new growth. 

What’s Inside: 

FAQs

The analytics on a spend analysis dashboard can highlight patterns in spending, flag maverick purchases and reveal opportunities to consolidate suppliers or negotiate better contracts.

AI improves data classification, detects anomalies and uncovers trends that might be missed manually, giving procurement teams a smarter, faster way to manage spend.

Modern dashboards offer real-time insights, better data accuracy and interactive visuals — helping procurement teams act faster and make more informed decisions.

FAQs

Contract visibility means having easy access to key contract details—such as terms, obligations, and milestones—across your organization in one centralized location.

Some best practices for optimizing contract visibility include centralizing all contracts in a searchable repository, setting automated alerts for key dates, and ensuring teams across legal, procurement and finance have the right level of access.

Some best practices for optimizing contract visibility include centralizing all contracts in a searchable repository, setting automated alerts for key dates, and ensuring teams across legal, procurement and finance have the right level of access.

Insights From the 2025 CIPS Global State of Procurement & Supply Report

In an era of global disruption, procurement and supply professionals are facing complex challenges, from tariffs and trade restrictions to supply chain uncertainty and sustainability pressures.

This exclusive webcast unpacked the findings from the 2025 CIPS Global State of Procurement & Supply report, supported by GEP.

GEP’s Darren Lynch joined the conversation about trends, the sector’s most urgent challenges and how high-performing teams are leveraging AI and other tools.

Key discussion topics:

FAQs

Advanced technologies such as artificial intelligence (AI), machine learning (ML), and robotic process automation (RPA) can enable procurement agents to perform at their maximum efficiency. Enterprises leverage cloud-based, AI-powered platforms and blockchain for transparency, while IoT gets leveraged for efficient real-time data coordination. Further, APIs and middleware make sure that the integration is seamless, while advanced analytics that the platform offers helps with optimizing decision-making, enabling scalable procurement workflows across multi-agent systems.

Repetitive tasks getting automated are often the immediate effect that gains visibility. Intelligent agents enhance decision-making with predictive analytics and enable better supplier negotiations. They also enable real-time market analysis, optimize inventory, and ensure compliance. These intelligent agents turn procurement into a valuable strategic asset by delivering insightful data analysis, making workflows more efficient, and reducing mistakes.

Poor orchestration leads to miscommunication, duplicated efforts, and inefficiencies. Data inconsistencies, delayed decision-making, and increased costs arise from uncoordinated agents. Compliance risks, supplier mismanagement, and disrupted workflows can damage relationships and profitability. Lack of synchronization may also cause missed opportunities, reduced scalability, and compromised strategic alignment in procurement processes.

Orchestration and automation have different use cases. Procurement agent orchestration ensures strategic alignment, adaptability, and real-time data sharing across agents. Automation, on the other hand, prioritizes efficiency in isolated processes, lacking holistic coordination.

Procurement agent orchestration enables smooth coordination of multiple agents to handle complex processes and make better decisions. Automation deals with simple, repetitive tasks based on set rules, without involving any interaction between agents.