AI Data for the E-Commerce Industry

E-Commerce Data Annotation and Collection Services

Trusted data annotation for e-commerce. Expert teams label images, videos and text to power product search, recommendations and other machine-learning solutions.

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Featured Clients

Empowering teams to build world-leading AI products.

Amazon
Google
Microsoft
Cogknit

There has been a paradigm shift in the way customers shop. Customers today are smart and make informed choices about their preferred products & services. So how competitive is your eCommerce business?

Consumer dynamics have transformed drastically over the last few years. People want personalized shopping experiences. The only way you could deliver this to your customers is through powerful recommendation engines. Train your AI systems to offer personalized services and experiences and you would make them come back to your business for more. For this, you need high-quality training data from veterans like us.

Industry:

Netflix saved $1 Bn in lost revenue based on product recommendation engine.

Industry:

Alibaba reduced 40% delivery errors by investing in smart logistics which leverages AI

Our eCommerce Solutions

In rapidly evolving e-commerce landscape, the precision and effectiveness of search and discovery mechanisms are paramount. Shaip emerges as a pivotal player in this domain, offering advanced annotation solutions that significantly enhance the user experience in online shopping. By meticulously optimizing e-commerce search queries, product relevance, tagging and categorization, Shaip ensures that users effortlessly find what they’re looking for, thereby elevating the overall efficiency of e-commerce platforms. These innovation streamlines the shopping experience and plays a crucial role in driving sales and customer satisfaction.

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eCommerce Data Collection

Your requirements on high-quality, relevant data is fulfilled by us thanks to our extensive network of data generation touchpoints in the ecommerce segment. We can source the right datasets for your business across market segments, demographics and geography at the time you need them.

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eCommerce Data Annotation

With the most advanced data annotation tools at our disposal, we ensure all elements in datasets are annotated precisely by experts from the ecommerce domains. This way, you get machine-ready data for your training purposes. From text and images to audio and video, we annotate them all.

AI in E-commerce: Use Cases & Examples

Search Queries & Product Relevance Optimization

Transform the effectiveness of search queries with precision annotation solutions. Our expertise lies in optimizing search correlation algorithms, ensuring that users experience enhanced relevance in product searches. Accurately labeled images, attributes, and details contribute to a seamless and satisfying user journey.

Search Queries &Amp; Product Relevance Optimization

Example: Optimize search results for “sofa” through a meticulous annotation process. Annotators analyze and label various attributes, including brand, specifications, and user preferences, ensuring the search algorithm prioritizes relevant sofasets. This involves categorizing and tagging products based on intricate details, and refining the correlation between search queries & product listings. 

Personalized Recommendations

Enhance your recommendation engine’s precision by leveraging Shaip’s annotation services to track and annotate user preferences and behavior. This approach enables tailored recommendations that enhance the user experience, focusing on items customers have bought before. AI capabilities extend to predicting products customers are inclined to purchase and suggesting items popular within their social circles, ensuring more relevant and appealing product recommendations.

Example: Annotate searches for “graphic clothers” to capture user preferences and behaviors. Annotators analyze individual search patterns and preferences, contributing to the creation of personalized recommendations. This involves categorizing and tagging products based on user behaviors, ensuring that the recommendation engine
suggests the latest clothes and accessories, tailored to individual users, to boost sales.

Personalized Recommendations

Multilingual Translation Optimization

Improve the performance of your e-commerce platform across language barriers with Shaip’s precision translation solutions.

Multilingual Translation Optimization

Example: Optimize product descriptions for “smartphones” by providing accurate translations in multiple languages. Linguistic experts ensure the faithful representation of product features and specifications, enabling users from diverse linguistic backgrounds to access relevant information. This process enhances the platform’s reach and user experience, breaking down language barriers in the e-commerce landscape.

Sentiment Analysis for Reviews

Understand customer sentiments through sentiment analysis of product reviews. Shaip’s annotation services help identify positive and negative sentiments, providing valuable insights for product improvements and customer satisfaction.

Example: Annotate reviews for a beauty product to identify positive and negative sentiments. Annotators evaluate the tone and content of each review, categorizing sentiments related to product effectiveness and potential side effects. This analysis offers insights for product improvement and customer satisfaction assessment.

Sentiment Analysis For Reviews

Voice Search Optimization

Enhance the performance of your voice search feature by accurately annotating spoken queries. Our annotators ensure that voice-activated searches yield relevant and precise results, improving overall user satisfaction.

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Example: Collect voice data for searches like “home decor” through meticulous transcription and analysis. Annotators capture spoken queries, ensuring accurate representation in text form. This process refines the voice search algorithm, enabling it to understand and effectively respond to user intent, thereby providing relevant results aligned with the user’s spoken preferences.

Product Search Correlation Enhancement

Building on the foundation of optimized search queries, enable users to instantly find products effortlessly through image-based searches. Optimize your algorithm to retrieve accurate results through super-functional AI training methodologies. Our annotation services precisely label images, attributes, and details to enhance the effectiveness of visual search algorithms, thereby providing a seamless user experience.

Example: Enhance visual search algorithms by annotating images of clothing items for “summer dresses.” Annotators carefully label attributes like color, style, and pattern, facilitating precise
correlations between user preferences and visually similar products. This process refines the algorithm to deliver accurate and visually aligned search results.

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Product Categorization and Tagging

Images and descriptions should complement each other effectively. Attractive images capture customer attention, while compelling descriptions maintain interest and encourage purchases.To facilitate user-friendly navigation, it’s crucial to categorize and tag products accurately. Our annotators utilize their industry knowledge to assign precise categories and tags, enhancing the organization and discoverability of products.

Product Categorization And Tagging-800Px

Example: Annotating electronic gadgets like smartphones, smartwatches, and headphones, focuses on accurate categorization and tagging. Annotators meticulously classify each product, ensuring it falls into the correct category and receives relevant tags. This process enhances the discoverability of products within specific user-preferred categories

Visual Search

Customers not sure of a particular product, can take a picture on their smartphone & upload it to the eCommerce store. The platforms will instantly analyze the image and give precise results on what the product is and even redirect them to the appropriate page.​

Example: Leveraging precise annotation and data labeling, we can significantly enhance the development of visual search technology. By meticulously tagging and classifying images within a dataset, we provide the robust, high-quality training data necessary for ML models to accurately recognize and interpret objects in a variety of settings. This process improves the model’s ability to distinguish between different items, understand context, & provide relevant search results, ultimately leading to a more intuitive and efficient visual search experience.

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Market Basket Analysis

Customers who buy a musical instrument would also look to buy a case or a cover for it. Predict such pairings and automatically recommend your visitors for the most convenient purchasing experience. Club products, recommend better and sell more. ​

Market Basket Analysis-800Px


Example: By employing meticulous annotation and data categorization, we can enhance the effectiveness of Market Basket Analysis for your e-commerce platform. By accurately tagging and grouping items that customers commonly purchase together, like musical instruments and their corresponding cases or covers, we can create a rich dataset that feeds into your recommendation algorithms.

Shaip Offering Snapshot

Use Case Description Shaip Offerings
Search/ Product Recommendation Recommendation systems using AI to understand customer needs, tastes & preferences to understand context rather than just words
  • Web scrapping of multiple customer reviews
  • Support multiple types of annotation:
    1. Entity recognition,
    2. Relationship annotation,
    3. Key phrase extraction,
    4. Product Classification
Product Ranking Instant identification of relevant products across multiple platforms & Personalized product recommendation for different customers based on preferences
  • Product Categorization & Classification
  • Attribute Annotation of Products
  • Customer Sentiment Annotation
Hyper personalization Personalize the shopping experience for each customer with deep customer insights
  • Customer Attribute Annotation
  • Fine Grain Sentiment Classification
  • Customer Insight Extraction
Merchandising/ Inventory Management
  • Smart Merchandising
  • Automatic Sorting using Image Recognition
  • Multi-level classification of clothes & accessories
  • Image Collection of Clothing’s & Accessories
  • Semantic Segmentation of Clothes
Multilingual Voice / Virtual Assistant (VAs) Shopping VA understands voice commands & makes suggestions based on customer persona in multiple languages i.e., English, Tamil, Malay, Thai etc.
  • Speech & Text Data creation in 100+ languages
  • Voice/Chatbot Conversation Datasets
  • Customer Insight Extraction

Reasons to choose Shaip as your Trustworthy AI Data Collection Partner

People

People

Dedicated and trained teams:

  • 30,000+ collaborators for Data Creation, Labeling & QA
  • Credentialed Project Management Team
  • Experienced Product Development Team
  • Talent Pool Sourcing & Onboarding Team
Process

Process

Highest process efficiency is assured with:

  • Robust 6 Sigma Stage-Gate Process
  • A dedicated team of 6 Sigma black belts – Key process owners & Quality compliance
  • Continuous Improvement & Feedback Loop
Platform

Platform

The patented platform offers benefits:

  • Web-based end-to-end platform
  • Impeccable Quality
  • Faster TAT
  • Seamless Delivery

Why Shaip?

Managed workforce for complete control, reliability & productivity

A powerful platform that supports different types of annotations

Minimum 95% accuracy ensured for superior quality

Global projects across 60+ countries

Enterprise-grade SLAs

Best-in-class real-life driving data sets

Tell us how we can help with your next AI initiative.