Data analytics creates new ways of working across the entire end-to-end retail lifecycle including: new product development; supplier management and sourcing; category management and range planning; space and capacity management; channel grading, clustering and allocation; price optimisation; dynamic replenishment; and omni-channel stock optimisation.
The aim is to improve efficiency and accuracy via data automation, and to integrate analytics with retail processes so that the relevant KPIs and analysis are available at the point of decision-making.
