Target India announces cohort for Target Accelerator Program
Target India has announced the fifth batch and the largest cohort yet for the Target Accelerator Program. Eight startups were selected to develop innovative technology solutions with the potential to enhance guest experiences at Target and in the wider retail industry. These startups will work in the areas of artificial intelligence, machine learning, computer vision, natural language processing, analytics and digital experiences.
“The Target accelerator’s largest batch yet holds diverse capabilities that can add value to our business and the entire retail sector through cuttingedge technologies such as AI and machine learning,” said Rakesh Mishra, vice president of marketing for Target and the accelerator program’s executive sponsor. “We are fortunate to have the opportunity to tap into the immense innovation potential that exists in India through the Target Accelerator Program.”
The startups selected for the accelerator will go through a rigorous fourmonth program, wherein they will get to refine their technology offerings and pilot solutions at Target stores or headquarter locations. In addition, during their stint with the accelerator, they will have access to Target business leaders as mentors. The startups will also be provided with legal, financial and talent consulting services based on the need of the startup. At the end of the program, startups will have the opportunity to pitch their products and capabilities to investors and others in Bengaluru’s startup ecosystem, and possibly continue their engagement with Target.
The eight selected for the fifth batch of the accelerator program are: that extracts context from videos and is able to generate a textual play-by-play of the video content.
- veloped software that integrates with hardware to scan fresh produce using a simple camera. consultant with an artificial intelligence-powered shopping assistant in the trial room. perform video analytics on video footage (both live and offline).
- tems has capabilities in natural language processing that can be applied to customer support functions.
- ate insights in natural language from structured data. personalized product recommendations and natural language search. shopping on social media through hashtags.