Machine learning-powered retail is that it will change what it means to be a consultant and a manager — but human insight is still crucial.
Trying to find an optimal stock management solution is a dilemma as old as retail itself. Traditional solutions use formulae to forecast the ideal level of inventory, but these formulae have serious limitations; limitations that will soon see them left behind by the limitless capabilities of machine learning.
The machine learning revolution is already well underway, and for those companies that have adopted it the rewards are limitless. To reap them, however, companies have to abandon the traditional management pyramid, and embrace a new management structure designed to maximise on its potential.
Managing the supply chain to balance stock between stores can significantly improve ROI. Learn how a supply chain management tool can help you balance stock and increase sales.
Experiential shopping is the future of retail. Brick-and-mortar stores are making the transition from venues of functional commerce to scenes of interactive entertainment. How can retailers make this jump? And what should they do to safeguard their business as they do?
Dollar Shave Club disrupted the shaving market by shipping high-quality razorblades whenever customers run out. But will Dollar’s model work in other fast moving consumer goods (FMCG) industries?
What exactly is machine learning? How is it different from human learning? This article will answer those questions in clear, practical terms – while providing some insight into the ways machine learning and human learning work together to develop new solutions.
Fashion and digital experts meet at Lectra to explore the Industry 4.0 tools and strategies necessary for success
There is much talk of a singularity event and artificial intelligence taking over the world, but will a computer ever replace Bill Gates?