Generating Real-Time Shelf Insights with ParallelDots Computer Vision Platform – Conversations in the Cloud – Episode 284

Ankit Narayan Singh, Co-Founder & CTO at ParallelDots, joins host Jake Smith to discuss how artificial intelligence and image recognition are transforming the consumer-packaged goods (CPG) and retail industry operations in brick-and-mortar stores. He describes how it’s a challenge for retailers to identify and replenish out-of-stock products on shelves quickly and efficiently. Ankit highlights how ParallelDots’ ShelfWatch platform analyzes photos captured in stores and uses computer vision models to send real time alerts to retailers allowing them to rapidly analyze and refill any shortages on their shelves. Ankit also illustrates how ParallelDots collaborated closely with Intel leveraging Intel’s ecosystem program to optimize their DL models for OpenVINO. This collaboration helped significantly increase their inference throughput performance and also enabled ParallellDots to optimize some of their models to run on CPUs avoiding the need to run on more expensive GPUs. Lastly, Jake and Ankit talk about the digitization of brick-and-mortar stores and how that process is building the stores of the future. Computer Vision and artificial intelligence are exposing more data and greater capabilities for retailers to provide better experiences to their customers while increasing efficiencies.

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