Social Media Listening CRM Integration

Analyze the sentiment expressed in images and videos posted by users, helping companies understand how their products or services are received.

Use Case
Sentiment Analysis

The marketing industry, with its fast-paced evolution and increasingly digital landscape, faces the significant challenge of understanding and leveraging user-generated content. Traditional analytics tools are often inadequate in interpreting the rich sentiment conveyed in social media images and videos. This limitation can lead to a disconnect between a brand's perception and the actual customer sentiment, potentially resulting in ineffective marketing strategies and a weakened brand reputation.


To address this challenge, we engineered an innovative solution focused on Social Media Listening CRM Integration, specifically designed for the marketing industry. Our tool not only analyzes sentiment in images and videos posted by users but also integrates this data into existing CRM systems for a holistic view of customer opinions. It features advanced AI algorithms for image and video sentiment analysis, a comprehensive dashboard for real-time insights, and customizable alerts for significant sentiment shifts. We worked closely with our client throughout the development process, ensuring the tool was perfectly aligned with their marketing strategies and operational workflows.

  • Enhanced accuracy in sentiment analysis, leading to more informed marketing decisions.
  • User-friendly interface with advanced data visualization tools, improving team engagement and data interpretation.
  • Streamlined integration with existing CRM systems, facilitating a unified approach to customer relationship management.
  • Increased efficiency in marketing campaign adjustments based on real-time sentiment data.
  • Greater alignment of marketing strategies with actual customer preferences and perceptions.

Techstacks Used

Technologies and Tools
Machine Learning (ML): TensorFlow, OpenCV Natural Language Processing (NLP): NLTK, TextBlob Computer Vision (CV): TensorFlow Object Detection API, OpenCV, scikit-image Deep Learning: TensorFlow, Keras Infrastructure: AWS Cloud Services (including AWS S3), Azure (including Azure Blob Storage), Google Cloud Platform, NVIDIA GPUs, Kubernetes, Docker Data Storage and Processing: Hadoop, Spark CRM Integration and Data Visualization: Salesforce API, Zoho CRM connectors, Tableau, PowerBI, D3.js Security and Compliance: Splunk, Palo Alto Networks, GDPR Compliance Tools, CCPA Compliance Tools User Interface Development: React, Angular Camera and Imaging Technology: High-Resolution Cameras, Advanced Image Processing Algorithms

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