OPTIMISE YOUR RETAIL SUPPLY CHAIN WITH PREDICTIVE LOGISTICS

Let’s say that you, for example, sell shoes via a webshop, and on average, customers return a pair of shoes eight-nine times before they end up at a customer that keeps them for good. How can you reduce this waste of time connected to the return administration and the environmental loading that come with the returns – and make your customers happier and more loyal? It all boils down to getting to know your customers on a deeper level by collecting as much data about them as possible, using this data to enhance your forecasting, predict their needs, and offer them tailored solutions. How?

Your customers also leave traces on your webshop, and should you sell your products in a physical store – the customers leave traces here too. You can utilize this data to make stable forecasting; what will the customer be asking for next time they visit your webshop so that you on beforehand can stock up? And what products seem to be of less interest to your customers, giving you a chance to market and sell the less sought-after products as early in the season as possible. Also, with more knowledge about the customers and the individual size requirements, you can target more additional sales in the form of personalised offerings. With a clear connection to the customer base, you can control the supply of goods more in relation to what you expect your customers to purchase. Virtual shoe fitting is just the beginning of the era of virtual fitting in retail. Soon customers will be able to try clothes and gloves virtually.