Target India announces the largest cohort for its accelerator programme

Target India, the Indian arm of the U.S-based retail giant, announced the fifth batch and the largest cohort yet for the Target Accelerator Program.

“The Target accelerator’s largest batch yet holds diverse capabilities that can add value to our business and the entire retail sector through cutting-edge technologies such as AI and machine learning,” said Rakesh Mishra, vice-president, marketing, Target, in a statement.

The company said eight companies were selected to develop innovative technology solutions with the potential to enhance guest experiences at Target and in the wider retail industry. These firms will work in the areas of artificial intelligence (AI), machine learning, computer vision, natural language processing, analytics and digital experiences.

The firms selected for the accelerator will go through a rigorous four-month programme, wherein they will get to refine their technology offerings and pilot solutions at Target stores or headquarter locations. Target said they would also be provided legal and financial services and have access to mentors and investors.

The eight selected for the fifth batch of the Target accelerator programme are:

1. Cogknit has a solution that extracts context from videos and is able to generate a textual play-by-play of the video content.

2. Hyperworks has developed software that integrates with hardware to scan fresh produce using a simple camera.

3. Moonraft is a design consultant with an artificial intelligence-powered shopping assistant in the trial room.

4. Cognitifai is able to perform video analytics on video footage (both live and offline).

5. Light Information Systems has capabilities in natural language processing that can be applied to customer support functions.

6. vPhrase can generate insights in natural language from structured data.

7. Streamoid enables personalised product recommendations and natural language search.

8. enables shopping on social media through hashtags.

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Printable version | Jan 29, 2022 7:54:08 AM |

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