Vispera: Visual Intelligence for Retail
The case opens in 2019 as Aytul Ercil, co-founder and CEO of Vispera, computer vision technology provider for retail, is contemplating the company’s agenda trying to decide how to prioritize the impending options.
The case chronicles the founding of Vispera, the iterations of its technology and its business model, and lays the ground for the competitive outlook. The case provides a detailed overview of how Vispera’s technology and its automated visual analysis help retail and fast-moving consumer goods companies around the world to minimize stock-outs, increase sales, reduce personnel costs, and improve operational efficiency. In 2016, the debut of Amazon Go urges the retail players to up their game vis-à-vis technology. Demand for automation and computer vision in the retail surges.
In a land-grab market, Vispera strives to grow globally, differentiate itself, keep its technology cutting edge, and raise capital. In 2019, taking a step back from all of the daily to-dos, Ercil needs to consider the big picture for making Vispera a leading global player. She needs to consider the following: Should the team focus on developing shelf availability and out-of-stock prediction capabilities or focus on dynamic pricing, customization, and real-time campaign management? Should Vispera pivot to provide insights beyond the shelf as was already being done by players entering the space? How should the team think about data ownership: could Vispera leverage the data to drive cross industry insights or market level perspective?
The case chronicles the founding of Vispera, the iterations of its technology and its business model, and lays the ground for the competitive outlook. The case provides a detailed overview of how Vispera’s technology and its automated visual analysis help retail and fast-moving consumer goods companies around the world to minimize stock-outs, increase sales, reduce personnel costs, and improve operational efficiency. In 2016, the debut of Amazon Go urges the retail players to up their game vis-à-vis technology. Demand for automation and computer vision in the retail surges.
In a land-grab market, Vispera strives to grow globally, differentiate itself, keep its technology cutting edge, and raise capital. In 2019, taking a step back from all of the daily to-dos, Ercil needs to consider the big picture for making Vispera a leading global player. She needs to consider the following: Should the team focus on developing shelf availability and out-of-stock prediction capabilities or focus on dynamic pricing, customization, and real-time campaign management? Should Vispera pivot to provide insights beyond the shelf as was already being done by players entering the space? How should the team think about data ownership: could Vispera leverage the data to drive cross industry insights or market level perspective?
Keywords: computer vision technology; visual analysis; retail; Technology; Business Model; Operations; Performance Efficiency; Competitive Strategy; Decision Choices and Conditions; Technology Industry; Retail Industry; Turkey;
Citation:
Grushka-Cockayne, Yael, and Gamze Yucaoglu. "Vispera: Visual Intelligence for Retail." Harvard Business School Case 620-022, September 2019. (Revised January 2020.) View Details