Grow Your E-comm & Retail Business with Text Analytics

Analyze large volumes of research and feedback text data compiled from various sources. Listen to conversations and related to your brand and extract business intelligence.

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Text Analytics in E-commerce & Retail industry

All e-commerce must follow one unbreakable rule to be successful, ‘listen to your customers’. Although more than 90% of data is available in text. It requires a lot of manual labor and time to process and analyze the data. This is where advanced text analytics solutions can help you. Structure and analyze text data from multiple sources and extract insights with ease.

BytesView's text analytics solution can help you process and analyze text data from multiple sources. Turn reviews, suggestions, social media posts, news, etc, into actionable insights. Listen to your customers, understand their needs as well their dislikes and transform it into sources of focused improvement.

Text Analytics Product Portfolio for E-commerce & Retail Industry

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Topic labeling

Extract customer feedback data from multiple sources and identify recurring issues of topics of discussions related to your brand.

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Intent Detection

Analyze text data to identify the intent of the author/customer. Classify and prioritize customer tickets based on intent. Identify customers with purchase intent along with new prospective customers.

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Gender Detection

Know who your target audience really is (demographics). Develop personalized products and marketing strategies to target your audience.

Semantic Similarities

Semantic Similarities

Unlock market intelligence with text analytics. Compare all competitive products and solutions and check how close they are to each other. Identify similar features and use the insights to differentiate your offering from your competitors.

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Sentiment Analysis

Analyze the feedback, opinions, and suggestions of customers compiled from multiple forums and social media platforms. Identify and categorize the sentiments of users and access your market reputation.

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Emotion Analysis

Extract customer support data related to your brand or your competitors and analyze the emotions expressed in the text to identify satisfied customers as well as those that are worth retaining.

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Feature Extraction

Use feature extraction to perform market research. Analyze competitive products and extract features. Use the insights to develop products with great set of features.

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Keyword Extraction

Use keyword extraction to track conversation related to your brand or your competitors. Unlock topical content, recurring issues, and many other insights.

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Entity Extraction

Leverage entity extraction to extract named entities from the search queries. Understand what your customers are looking for. Offer products and solutions according to their requirements.