{"id":38324,"date":"2026-03-17T17:20:08","date_gmt":"2026-03-17T17:20:08","guid":{"rendered":"https:\/\/www.argonandco.com\/?post_type=event&p=38324"},"modified":"2026-03-17T17:20:08","modified_gmt":"2026-03-17T17:20:08","slug":"conference-optilogic-supply-chain-summit-amsterdam","status":"publish","type":"event","link":"https:\/\/www.argonandco.com\/en\/news-insights\/events\/conference-optilogic-supply-chain-summit-amsterdam\/","title":{"rendered":"Conference: Optilogic Supply Chain Summit, Amsterdam"},"content":{"rendered":"

Last week, Rob Carlisle, UK Associate Partner and Gosia Gower, Principal Consultant attended the Optilogic Supply Chain Summit in Amsterdam, where Rob delivered a talk on emerging AI trends in supply chain design and top executive priorities. We were also proud to be a headline sponsor of the event, which brought together supply chain leaders, technology innovators and industry practitioners to explore how organisations can harness decision intelligence tools to build resilience and stay ahead in an increasingly volatile environment.<\/p>\n

The Summit highlighted how rapidly the field is evolving, and what organisations need to put in place to adopt these capabilities effectively.<\/p>\n

Here are our key takeaways from the conference:<\/p>\n

AI is dramatically lowering the barrier to advanced analytics<\/h3>\n

Several sessions emphasised that AI is transforming how quickly organisations can turn raw, messy data into actionable insight. Tools like DataStar automate data ingestion, cleansing and augmentation, enabling teams to refresh and rebuild models at speed. Meanwhile, Leapfrog AI allows users to generate SQL queries, macros and modelling scripts using natural language, significantly reducing the technical skill required to run analyses or test new scenarios.<\/p>\n

Even organisations with limited modelling resources can now access powerful analytics capabilities that previously required specialist teams.<\/p>\n

Scenario planning is becoming the backbone of resilience<\/h3>\n

Speakers repeatedly reinforced that continuous scenario testing is now essential for navigating uncertainty. Fast simulation enables organisations to test shocks, evaluate trade offs and strengthen buffers long before disruptions occur. Scenario planning accelerates the path from insight to action and puts organisations ahead of the competition by eliminating the time lag.<\/p>\n

It is clear that organisations need to shift from one off analyses to always on scenario cycles, embedded into planning, budgeting and strategic processes.<\/p>\n

The line between planning and design is disappearing<\/h3>\n

Modern modelling platforms now allow strategic network design assumptions to flow seamlessly into operational planning cycles. This creates a continuous design loop, enabling teams to adjust flows, capacities and inventories dynamically as conditions evolve.<\/p>\n

It was interesting to note that the future operating model for supply chain teams will combine strategic design, operational planning and scenario analysis into one integrated capability.<\/p>\n

Competitive advantage will favour early adopters<\/h3>\n

A clear message from multiple speakers:<\/p>\n

Organisations that act now will materially outpace those that wait.<\/strong><\/p>\n

AI enabled modelling improves the speed and quality of decisions, enhances resilience and helps companies navigate future shocks more effectively. However, the value of these tools depends on having the right foundations, robust data pipelines, an active digital twin and teams empowered to use insights effectively.<\/p>\n

What this means for organisations<\/strong><\/p>\n

Adopting these capabilities requires more than technology. It demands a shift in how organisations structure decision making, develop teams and embed scenario based thinking. To get started, organisations should focus on four areas:<\/p>\n