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This large stock audio clips portal uses our platform to look inside audio clips and correlate them with other clips for cross and up selling

Improved Cross & Up Selling

Audio Clips Segmentation For Cross & Up Sell

This large online stock audio clips vendor uses our platform to understand the contents of audio clips like tonality, conversation topic and mood. These insights are then used for correlating clips to help the discovery process for customers through search and recommendations.

Topic Extraction

Our platformed used the inbuilt topic modeling algorithms to match the human behavior and likes and dislikes to information present in the text extracted by converting audio files content into text using speech recognition

Attribute Extraction

With our unstructured data analytics capabilities, we were able to extract key attributes from audio files such as tonality, beats per minute, instruments used etc. This gave us more insights into the contents which were then used to harvest cross selling opportunities

Automated Clips Tagging

Our platform went through a set of audio files and classified each of them by transposing the topic extraction model and attributes extracted with the user mood and like/dislike patterns.

Improved Product Discovery

We improved the product discovery by reducing the search time with our recommendation system. The extracted insights were also used to aid in better user engagement

Platform Capabilities Used

Our platform and algorithms extract deep insights from big data based on machine learning. We offer these insights to drive decisions and automate extraction for our customers.

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San Francisco Bay Area, USA

Suite 360E, 2001 Gateway Place,
San Jose, CA 95110

+1 (844) 446-3773


Level 15 Corporate Centre One
2 Corporate Court
Bundall QLD 4217

+61 403078775

Auckland, New Zealand

42 Moorhouse Street, Morrinsville,
New Zealand, 3300

+64 27 523 7674

Bangalore, India

UMIYA Emporium, 4th floor,
Hosur Main Road, Kaveri Layout, Koramangala

+91 9036001834

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