NVIDIA Partners in Retail

Retailers are embracing the change that’s been prompted by the pandemic along with new forms of convenience, value, and personalization starting to emerge. Autonomous retail is right at the center of this new retail landscape, not only enabling contactless shopping options but also building the foundation for more value-added services and new ways for customers to engage with brands digitally such as livestream shopping and personal virtual consultations and fittings.

AiFi enables reliable, cost-effective, and entirely contactless autonomous shopping with AI-powered computer vision technology that provides an unrivaled shopper experience for retailers and consumers around the world.

AiFi works with top global retailers to create customized autonomous shopping experiences with flexible integration and entry options for customers while improving store operations through inventory management and impactful data analytics.

Brick and mortar enterprises such as retailers and quick service restaurants (QSRs) have limited visibility into the in-store shopper journey and customer behavior. Previously, sensor and Wi-Fi/Bluetooth-based technologies could only provide traffic counting. Deep North’s computer vision AI platform goes beyond people counting by leveraging object detection and cross-camera tracking to provide highly accurate customer analytics such as footfall, conversion, consumer demographics, dwell times, and shopper journey. Deep North’s powerful AI-enabled analytics engine leverages existing video and data infrastructure to deploy with unparalleled ease and speed across an infinite number of video cameras.

VistaMart is a Graymatics solution designed to facilitate extracting deep insights  in the retail industry. They utilize CCTV feeds to gather key information on  customers, such as age, ethnicity, gender, and even the emotions of the customers, while ensuring GDPR compliance. They also gather information on queue times, dwell times, customer foot traffic, and usage of the space to optimize operations. 

Vistamart also tracks plan shifts and counters opened according to accurate data about the performance of the store during different hours of the day. The analytics offer real-time updates as more employees are needed on the store floor.

Clarifai provides an end-to-end AI platform that powers “see it, buy it” technology for retailers. Customers simply take a picture of the product they are interested in and Clarifai’s visual similarity search helps find the matching product in your product catalog. Clarifai even helps with cross-selling similar product recommendations.

Clarifai’s visual search supports advanced multi-modal workflows and “cascading visual search” capabilities. Cascading visual search ensures that your customers get the most accurate search results, even when your product catalog images don’t look like the images that customers take in real life. Clarifai also enables automated tagging for catalog management, logo detection, and text-in-image recognition, so that you can gain deeper insights into your customer data.

Yusp personalization engine is a SaaS software that applies deep learning to capture the best customers’ behavior, which makes customer modeling and recommendation very efficient. 

The deep learning module is optional, delivers an extra 15-25 percent in the key business levers, and is trained on NVIDIA GPU hardware. 

Yusp personalization helps boost the experience of navigating in a large and diverse pool of products on your site with search personalization and product recommendations, while cutting down the time spent on browsing. 

Half of all customers leave an online store due to poor recommendations. Make your brand and products more relevant to your customers through personalized recommendations with Yusp’s sophisticated algorithms.

AWM Frictionless is a cashierless checkout technology that makes it possible for customers to shop as normal and check out by simply walking out of the store. Once the customer downloads the app and enters their identification and payment details, they use a personal QR code to initiate a transaction at the entry gate. Upon entering the store, strategically placed cameras capture the scene and deep learning models detect each customer. These models trained on product and positioning data determine when customers interact with products and whether to add or subtract from their cart. Upon leaving the store, customers are charged via their digital wallet and receive their receipt via email.