AI Training Data for Retail

Let our machine learning data be the driving force to accurately implement AI in retail operations that lead to maximized sales and minimized markdowns.

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AI Training Data for Retail

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

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.

Instance Segmentation

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.

Retail Instance Segmentation
Semantic Segmentation for Object Classification

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.

NLP for Sentiment Analysis

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

Manage Inventory

Manage Inventory

Our annotated data can be incorporated into AI algorithms to improve inventory planning and stock management.

Shelved Products Detection

Shelved Products Detection

Utilize our machine learning data to implement AI in retail for automating repetitive tasks, such as product detection on shelves.

Product Recommendations

Product Recommendations

Leverage our AI data to develop machine learning algorithms that identify buyers’ preferences through AI-driven product recommendations.

Product Categorization

Product Categorization

AI training data to help AI retail systems understand customer preferences and help them navigate the store and locate products.

Self Checkout

Self Checkout

Computer vision systems can help retailers easily identify products and customers in the store, meaning automatic checkouts are easier.

Analyzing In-Store Traffic

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.

Security Systems

Security Systems

Data for developing AI-powered security systems for ensuring in-store safety with automatic weapons, threats, and suspicious activities detection

Face Recognition

Face Recognition

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

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.

Your Data Partner for Retail AI

Cogito can be your partner to deploy AI in retail as a premier AI training data specialist. As part of our AI training data practice, we adhere to a broad ethical agenda, which includes GDPR, CCPA, Certification and Compliance, Fair Pay pledge, diversity, and inclusion.

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