Experience the Power of Smart Supply Chain with Flowlity

Speaker: Jean-Baptiste Clouard, CEO & Co-founder of Flowlity

What if you could proactively manage unforeseen disruptions, effortlessly navigating challenges as they arise? Imagine the potential of accessing real-time insights and predictive analytics, empowering you to make swift, informed decisions that enhance your market responsiveness and agility.

Meet Flowlity, the pioneer in revolutionizing supply chain management. Our AI-driven solution empowers companies to navigate the complexities of raw materials and inventories with ease, mitigating shortages and preventing overstocks.

Join us as we delve into the transformative capabilities of AI in supply chain management and discover how to elevate your operations and make quick and data-driven decisions with confidence. Learn how AI can automate 95% of your supply chain tasks, optimize inventory, and foresee disruptions to thrive in today's dynamic business landscape:

1. Forecasting and Planning: Anticipate demand, uncertainties, and delays with precision, automating safety stock adjustments and order placement.

2. Unlocking the Potential of S&OP with AI: Explore how integrating AI into Sales and Operations Planning (S&OP) processes can address common challenges, enhance demand forecasting with predictive analytics, and significantly improve the efficiency and ROI of your supply chain operations.

3. Real-Time Simulation: Simulate the financial impacts of disruptions in real-time, empowering you with automatic action plan proposals to mitigate risks effectively.

4. Communication Automation: Streamline communication with suppliers, third parties, and customers through the power of generative AI, ensuring seamless collaboration and efficient resolution of issues.


From Data to Decisions: How AI is Helping Reshape Logistics

Speaker: Dominic Regan, Senior Director, EMEA Logistics Applications

Companies have built up huge amounts of data from their logistics operations, and many are now looking to mine that data to create additional value. AI and Machine Learning provides the ideal opportunity to analyse large quantities of data to drive better decision-making, providing insights and recommendations in real-time. In this presentation we will hear how this is affecting logistics in such ways as the more accurate predictions of journey times, and the better location of products within warehouses. We will learn about customers who are leveraging the ability to analyse large volumes of data to better model their logistics operations, and also take a look into the future, and consider how AI/ML might be expanded within logistics over the coming years.

Optimizing Production Planning and Scheduling across Multiple Plants: Lessons from the Bel Group

Speaker: Nazim Nachi, CEO & Co-Founder

We'll highlight the innovative approach to multi-plants production planning and scheduling offered by PlaniSense, with a focus on the successful case study of the Bel Group. By leveraging advanced AI and planning technologies, PlaniSense assists its clients in streamlining production processes across multiple production plants, enhancing efficiency, reduce shortages and material losses. Through the example of the Bel Group, learn about the benefits of advanced multi-plants, multi-levels production planning and real-time scheduling, including improved coordination, optimal resource allocation, and overall operational effectiveness.

Define actions and strategy based on data-driven scenario analysis using a digital twin of your supply chain network

Speaker: Menno Rustenburg, Senior Manager NTT DATA Supply Chain Consulting

Predictive analytics, machine learning and AI are great tools to predict what could happen in the future. It is insightful to know the future, but the real insight comes from scenario analysis what the impact of these predictions will be on your supply chain network and what the impact is of different possible strategies to change your network.

Join this session to learn more about the latest developments and trends in scenario analysis to support supply chain decision making to improve:

• Costs
• Lead time
• Resilience
• Sustainability

How to meet conflicting goals: be reliable, agile, sustainable and profitable

Speaker: Reinier Zuurmond, Senior Consultant

Consumers in today's world, require nothing less than reliable product availability and sustainable operations. However, many manufacturers and retailers struggle to meet these requirements, while also being profitable and minimising waste at the same time.

Learn how Supply Chain Company helps its customers to achieve this, creating value from their data, using the power of AI in better decision making, freeing up their most valuable employees, reducing waste for a more sustainable operation, while improving the bottom line and customer experience.

Speaker: Jan Kraaijeveld, Sales Director Slimstock