Helping Retail Reap the Benefits of AI with Annotation & NLP Expertise
Be the beneficiary of our unparalleled image annotation, labeling, and NLP expertise to develop AI-powered automation tools & predictive analytics mechanisms for demand planning, managed inventory, order processing, self-checkout, etc.
Data Annotation for Employing AI in Retail
Landmarking / Keypoint / Dot Annotation
It involves adding dots across an image that are used to train AI to detect and quantify data characteristics, facial features, emotions, and expressions.
A method that can be implemented in retail AI to distinguish between objects of the same class and count objects according to shape, size, location, and count.
Semantic Segmentation for Object Classification
A class segmentation technique, also known as semantic segmentation, can help develop AI to cluster and classify objects based on their presence and locations.
NLP for Sentiment Analysis
Giving retailers access to our NLP expertise to better understand customer preferences and needs through social media reviews, comments, and feedback.
AI Use Cases in E-commerce & Retail
AI holds the key to the future of retail and e-commerce. Retailers will rely more on automation, and predictive analytics derived from AI in the way they research, price, and manage their inventory. In order to understand the future dynamics of in-store shopping, consider these significant use cases of AI in retail
Our annotated data can be incorporated into AI algorithms to improve inventory planning and stock management.
Shelved Products Detection
Utilize our machine learning data to implement AI in retail for automating repetitive tasks, such as product detection on shelves.
Leverage our AI data to develop machine learning algorithms that identify buyers’ preferences through AI-driven product recommendations.
AI training data to help AI retail systems understand customer preferences and help them navigate the store and locate products.
Computer vision systems can help retailers easily identify products and customers in the store, meaning automatic checkouts are easier.
Analyzing In-Store Traffic
Develop AI for locating products around shoppers’ paths, tracking the number of passers-by, and finding effective promotions using our data.
Data for developing AI-powered security systems for ensuring in-store safety with automatic weapons, threats, and suspicious activities detection
Data support for AI-driven facial recognition systems for analyzing customers’ sentiments, identifying in-store traffic, and analyzing purchasing history of customers.
Enhanced Shopping Experience
Our data can help develop AI for retail to create a personalized customer experience strategy that helps gather and analyze customer data in real-time.