Demand Sensing

Intelligent supply planning tools will help you gain an edge over your competitors with optimal inventory planning, reduced operating costs, and timely last-mile deliveries.

One of the largest online craft meat brands in the USA enabled a 38% reduction in out-of-stock losses and a 2% increase in annualized revenue using Fountain9's AI-powered Kronoscope.

Automating your supply chain with the right tools enables seamless collaboration between various teams through inclusive demand plans and better visibility, these tools can make your life easier by automatically adjusting your inventory and safety norms as your demand changes in real-time.

The purpose of this paper is to take a step back and look at what visibility really means in supply chain operations, and what it can do for you - using real-world case studies - along with an outline of the conditions you need to achieve it.

Demand sensing is analytics-based, real-time forecasting, but like all forecasting capabilities, it is only as valuable as the ability to change operations and respond to the issues at hand.

This paper details why companies that use demand sensing receive the best forecast for response and execution time horizons, it also provides research from Nucleus about demystifying demand sensing.

Supply chain organizations routinely rank demand planning immaturity as a major obstacle in meeting their supply chain goals.

Dynamic Yield's artificial intelligence technology will allow McDonald's to link the predictive nature of their customer demand all the way through to stock levels in the restaurants and communicate data back down through the supply chain.

How much does a long tail really cost you? It's more than you think.

Accurate forecasting is strategic. Every decision by management is ultimately based on a forecast, so getting it right is important.

Demand sensing technology has been around for more than 15 years, yet there are still many myths around just what it is, what it does and the prerequisites to use it, with that in mind, the aim of this blog is to confirm or dispel these myths and set the record straight.

Students in the MIT Center for Transportation & Logistics’ Master of Supply Chain Management program spent a year mapping a manufacturer’s forecasting process to help determine if Demand Sensing was a worthwhile ambition to pursue.

This research brief assesses the feasibility and potential value of implementing Demand Sensing in the supply chain of a major consumer medical device company - Johnson & Johnson Vision Care.

Nulogy CEO, Jason Tham, addressed the SCALE.AI community in Montreal, to address the role Artificial Intelligence (AI) will play in the emerging cognitive supply chain.

Inventory buffers can counteract the effects of inaccurate forecasts...but, are you setting wrong inventory targets because your inventory optimization solution doesn’t understand how bad the forecast really is?