Whether it’s used to give product recommendations or to optimize the price of the product, machine learning creates a unique shopping experience and its important role in the retail industry is undeniable ...
Founder & CEO Greg Tanaka discusses how use of advanced analytics in retail can help companies to more accurately schedule employees.
Founder & CEO Greg Tanaka talks with Craig Levra about retail trends and new technology in the field. Levra and Tanaka discuss the need for sales optimization tools in the current retail market.
In the podcast, Percolata CEO Greg Tanaka sits down with INSEAD professor Serguei Netessine to discuss 21st-century retail trends. Professor Netessine was an instructor at the University of Pennsylvania’s Wharton School of Business and has an impressive resume in the business sector, having worked with companies like NASA and Lockheed Martin.
CEO Greg Tanaka speaks about customer occupancy on Workforce Institute radio with Joyce Maroney, Director of the Workforce Institute at Kronos and Mark Wales, Board Member at the Workforce Institute.
With ever-increasing competitive pressure and razor-thin margins, retailers are constantly seeking ways to grow their top line while containing costs. One of the major strategies that many retail brands have adopted to achieve this outcome is optimization of ...
One of the biggest challenges for retailers today is to maintain a flexible supply of labor in the face of mounting pressure to sell more while all the while keeping costs in check. In this age of automation and data-driven decision making, retail store manag...
Kylie did a stellar job with exceeding sales targets for her store during the recent promotion, but a report from the corporate office claimed her conversion rates should be significantly lower than what she reported. She knew the data didn't reflect reality, ...
Kylie is a store manager in charge of 15 salespeople at a local retail store with high traffic volumes. While struggling to meet the sales goals for each week, she also has to worry about properly scheduling the store's employees. Karen and Lisa are two cowork...