Forecast error down 30%.
Inventory down 20%.

Working with Nicolas Vandeput and the SupChains Team has started to fundamentally change how we approach demand forecasting at Qnity. After reading his excellent and approachable Demand Forecasting Best Practices book and completing the first wave of training, we successfully moved away from legacy forecast accuracy metrics and implemented Forecast Value Added framework across all business units. That change immediately surfaced issues and behaviors we had not previously been able to see and started to genuinely improve decision‑making.

We are now actively applying Nicolas’ framework to make demand more explicit and decision‑ready, have completed an initial ML forecasting proof of concept, and are running a second wave of training while piloting SupChains’ forecast‑as‑a‑service.

Nicolas conducted a comprehensive assessment of our practices, thoroughly reviewing our processes, forecasting engine, coding methods, and the purpose of our forecasts. He quickly identified both quick wins and long-term improvements. By taking the time to understand our unique context, he delivered tailored, actionable recommendations that were perfectly aligned with our needs. His insights and proposed simplifications have significantly elevated our operations.

We organized an inspirational event at IKEA for global Demand Planners and associated management and stakeholders, focusing on the future of Demand Planning. We invited Nicolas as an external guest speaker, whose presentation was praised for introducing new ideas, confirming existing strategies, and challenging us to improve. He received a rating of 4.33 out of 5 in our survey, with written feedback highlighting his exceptional pedagogical skills, making examples, and his vision easily understandable to everyone.

Nicolas makes sure he understands well the business context, so any solution is properly applied when it makes sense. He focuses on what can make the difference, not wasting time on buzzwords that do not bring any relevant improvement. This has been my experience working with him, where he delivered both a tailored inventory optimization model and a machine-learning-based forecasting model for Bridgestone Europe, which resulted in considerable improvements from our previous projects.

Nicolas worked with our team at Marquis Data to introduce new and innovative approaches to reviewing our forecasting models and refining our overall demand forecasting strategy. He went well beyond his already popular text on the subject, enabling our leadership team to deepen their understanding of the current state and capabilities of machine-learning-powered demand forecasting. His coaching undoubtedly helped Marquis Data fine-tune our products and services, allowing us to deliver significantly more value and clarity to our clients. Working with an industry thought leader has had a measurable impact on the improvements of our Marquis IQ Inventory Intelligence solution.

Thanks to SupChains and RitterDragon, Marzam could implement a new demand and inventory planning process. In 19 weeks, we improved inventory turns by 26% and reduced shortages by 65% while increasing our sales.