You can automate retail pricing. We connect with your sales data to learn and make live profitable pricing decisions based on Artificial Intelligence.
Your goal is to reduce food wastage. Our algorithms continuously price fresh products based on the life stage and inventory to reduce unsold fresh produce.
Your customers love fresh produce. We use state of the art image recognition technology to help match the price to the produce freshness, automatically.
Our data integration team sets up connections to receive sales, inventory and product data from retail databases. (~ 1 week)
Our data scientists model and configure the neural network prediction models for the product store combinations. (~ 2 weeks)
Our pricing tool is accessed as a web application. Category managers are alerted to a simple yes/ no/ test decision. (~1 week)
The algorithms continuously measure and improve accuracy based on new situations. Metrics are reported automatically.
The RapidPricer team consists of retail leaders in the area of retail pricing, category management, strategy and technology operations. Our experience includes building high tech solutions in Silicon Valley, managing high growth ventures and deploying mathematical pricing solutions at some of the largest retailers in the world.
Over 15 years of experience implementing math and technology based pricing solutions at some of the largest retailers in the world.
Over 30 years of experience with high growth tech companies in the areas of strategic growth, infrastructure development and legal compliance.
Over 20 years of experience working with category management with top brands and retailers across the Nordic region.
Over 15 years of experience in Software Sales and Customer Success in a role that values an extensive consulting background.