Lenta plans price optimisation roll out
By Retail Technology | Wednesday April 4 2018
Russian supermarket chain Lenta is deploying price optimisation software across its estate
It has selected Revionics to leverage the company’s advanced analytic services powered by artificial intelligence & machine learning. This includes store-zone clustering expertise, Key Value Item (KVI) analysis and price elasticity understanding.
“With Revionics analytics and machine learning optimisation we are able to review our store zones, improve our KVI lists and define specific roles for every single category, all the while delivering very focused competitive pricing that engages customers and inspires loyalty,” said Chris Newbery, Lenta’s customer loyalty director. “Based on the successful pilot we are now working closely with Revionics to extend our customer-centric, science-driven pricing approach to all stores and formats, and realise the positive results on a broader scale.”
