Full Schedule

We do not plan our company in isolation but as part of the world’s economic and demographic ecosystem. For example, if you are in the building materials industry, the projected housing market will influence your demand. But how do you tie this strategic information to your weekly and monthly planning? How do you decide which data are important for your organization and which data do not matter?

Join this webinar, in partnership with Indicio, where we will explore how to analyze the data that matter for you and integrate those outcomes into your S&OP process, ensuring your organization aligns with global changes.

In this webinar you will learn:

• The difference between patterns, causal influences, and planning information
• How to use that information for budgeting and continuous adjustment
• How to grasp opportunities
• How to align everybody on the same base

Note: The content and schedule of this webinar series are subject to change based on evolving insights and participant feedback.

Demand planning should be controlled by the planner, but tasks like history cleaning and algorithm tuning should be handled by AI designed for demand planning. You need the right AI environment, not a team of data scientists. AI improves accuracy, but the real value is in the insights it provides. Understanding the “why” behind the data is crucial. 

AI allows direct interaction with external events and customer information, integrating data from various sources. These insights, expressed in natural language, are interactable with generative AI, enabling planners to engage directly with forecasting algorithms. 

Instead of tuning AI, planners can communicate their knowledge to the AI, allowing it to learn. Minimal tuning is required, even as information changes. 

In this webinar, you will learn:

• How planners can control AI to navigate data
• How to interact directly with AI in demand planning
• How to collaborate with other parts of the organization
• How to incorporate events, promotions, and other information into your planning

Note: The content and schedule of this webinar series are subject to change based on evolving insights and participant feedback.

Demand sensing is a powerful yet often misunderstood tool. Unlike traditional demand planning, which predicts future demand, demand sensing focuses on immediate trends, reducing forecast errors by 30% or more by analyzing orders, inventory, and sell-out data. 

It’s easy to implement if you have open order information. Start with orders and add inventory and sell-out data if available, but always combine them with orders. 

Demand sensing examines order patterns and can include inventory or sell-out insights. This approach can reduce forecast errors by 30% to 40%, translating to a significant reduction in safety stock. 

In this session, you will learn:

• How demand sensing works 
• The data behind it 
• How to integrate it into your demand planning 

Note: The content and schedule of this webinar series are subject to change based on evolving insights and participant feedback.

Everything your organization does is based on a plan—what you make and store. 30% of your time goes into planning, but once budgets are set, they often lack transparency and aren’t reevaluated as events unfold. 40% to 60% of strategic plans fail, but how do you identify the critical points?  

With AI and Generative AI, stakeholders can create insights and budgets. Assumptions can be easily understood, retrieved, and compared to future information, capturing deviations and their impacts. Quality plans can be made by everyone, with assumptions captured digitally. 

In this webinar, learn how:

• Everyone can make quality plans with AI 
• Information can be captured digitally 
• Assumptions can be compared against future horizons 
• Latency can be substantially reduced 

Note: The content and schedule of this webinar series are subject to change based on evolving insights and participant feedback.

Insights are important, but accuracy drives reduced use of working capital and better service, leading to increased revenue. But how and why can AI help improve accuracy, and how do we express accuracy in a meaningful way? 

Learn the difference between general-purpose AI and ensemble learning, and how a combination of techniques is necessary to maintain strong elements of statistical forecasting while enriching it with current information such as events, promotions, and competitor behavior. 

In this webinar, discover how this new type of AI:

• Combines AI techniques to provide the best possible outcomes
• Translates external events into actionable insights 
• Achieves and maintains high accuracy 

Note: The content and schedule of this webinar series are subject to change based on evolving insights and participant feedback.

More information coming soon.

More information coming soon.

More information coming soon.

More information coming soon.

Recording Accessible HERE.

The new language of planning is based on AI first. Since ChatGPT, people prefer interacting with data in natural language. Supply chain management involves understanding real-world data and aligning organisational parts.

Currently, 30% of our time is spent connecting changes across planning horizons and finding consensus. AI now connects external and internal information, showing its impact on the supply chain. Generative AI makes this data readable and communicable, integrating external data into decision-making and aligning our organization.

In this webinar, we will explain how:

• Digital insights are the building blocks of planning.
• Digital insights enable cross-horizon decision-making.
• Ensemble learning with insights improves accuracy.