Featured Why We Created "Dexter": The Ultimate Q&A Sales Chatbot for "thouSense" Powered by Generative AI In today's increasingly interconnected digital era, information is the key to decision-making. While conventional methods of customer engagement have served us well in the past, the rise of Generative AI has opened new horizons for user interactions. Recognizing this paradigm shift, we at Thoucentric Labs embarked on a mission to
Enhancing Demand Planning with Confidence Interval Based Forecasts Through thouSense In the world of demand planning, accuracy and foresight are the twin pillars on which successful strategies are built. The ability to anticipate market demands accurately enables businesses to align their production schedules and inventory levels optimally. However, the traditional deterministic forecasting models often fall short in capturing the inherent
AI/ML Featured Why Explainable AI is Vital for Demand Forecasting: Empowering Demand Planners with Confidence and Accuracy Uncover the transformative power of Explainable AI in demand forecasting. Learn how XAI empowers demand planners, builds trust in AI predictions, and aligns with business objectives for pinpoint accuracy in the supply chain world.
AI/ML Featured "Dexter - Talk to Your Data": Revolutionizing Data Analysis for Demand Planners and Business Users But what if conversing with your data was as simple as chatting with a colleague? Introducing "Dexter - Talk to Your Data", an innovative feature of the Thousense demand forecasting product.
Featured How Demand Planning Can Improve the Supply Chain Thousense Lite now makes it simple to implement a demand planning & demand forecasting solution that includes artificial intelligence and machine learning.
AI/ML 5 Reasons Why You Should Use Machine Learning for Forecasting Demand Demand Volatility has been one of the biggest pain points for businesses. Machine learning has proven to have helped demand planners increase their forecast accuracy beyond what was achievable via a mixture of traditional statistical methods and human intuition. There’s also a thumb rule that suggests that one can
