Demand and Supply: Connecting the Dots with AI

Demand forecasting remains one of the most pressing challenges faced by businesses, particularly during times of uncertainty.

All businesses, no matter the sector, dream of being able to generate the perfect forecast; that crystal ball that tells you exactly what you need to know to navigate the current landscape with speed and agility. The crucial thing to remember, though, is that you can have the most accurate forecast in the world — but it’s what you do with it that counts.

In this whitepaper, artificial intelligence (AI) company Peak takes a deep dive into all things demand forecasting, supply chain and the role of AI. Breaking down a product’s lifecycle into four stages — buying and inventory, logistics, allocation and pricing — Peak explains some of the key challenges individual teams are facing, from archaic ways of working and siloed data to disruptive external factors and difficulties around forecasting.

After reading this guide, you’ll have gained a better understanding of the problems associated with each aspect of the supply chain journey and — crucially — the ways teams can leverage AI to overcome them. It explains why businesses need to put less focus on simply having an accurate forecast, and more focus on using their forecasts to their full potential — and uncover how an AI-driven approach to supply chain can drive real commercial value across multiple sectors.